ORCID Profile
0000-0002-9969-0982
Current Organisation
University of Melbourne
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Control Systems, Robotics and Automation | Mechanical Engineering | Interdisciplinary Engineering | Applied Mathematics | Automotive Engineering | Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels) | Optimisation | Electrical and Electronic Engineering | Calculus of Variations, Systems Theory and Control Theory | Turbulent Flows | Automation and Control Engineering | Automotive Engineering | Hybrid Vehicles and Powertrains | Fluidization And Fluid Mechanics | Applied Mathematics not elsewhere classified | Turbulent Flows | Ship And Platform Hydrodynamics | Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics) | Combustion And Fuel Engineering | Mechanical Engineering | Engineering Systems Design | Numerical and Computational Mathematics | Transport Economics | Engineering And Technology Not Elsewhere Classified | Aircraft Performance and Flight Control Systems | Systems Theory And Control | Optimisation | Structural Engineering | Construction Materials | Civil Engineering | Road And Rail Transportation | Signal Processing | Transport Engineering | Energy Generation, Conversion and Storage Engineering | Computational Fluid Dynamics | Interdisciplinary Engineering Not Elsewhere Classified | Aerodynamics |
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Engineering | Transport | Industry | Automotive equipment | Management of Greenhouse Gas Emissions from Transport Activities | Expanding Knowledge in Technology | Organised sports | Residential Construction Design | Wind | Air Force | Emerging Defence Technologies | Command, Control and Communications | National Security | Industrial machinery and equipment | Road safety | Other road transport | Physical sciences | Mathematical sciences | Construction Materials Performance and Processes not elsewhere classified | Integrated systems | Ground Transport not elsewhere classified | Industrial Energy Conservation and Efficiency | Energy Conservation and Efficiency in Transport | Automotive Equipment | Transport equipment | Expanding Knowledge in the Mathematical Sciences | Transport not elsewhere classified
Related Links
Publications
Control Barrier Functions for Mechanical Systems: Theory and Application to Robotic Grasping
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2021
Modeling the Effects of Combustion Variability for Application to Idle Speed Control in SI Engines
Publisher: SAE International
Date: 21-10-2002
DOI: 10.4271/2002-01-2734
Application of Model Predictive Contouring Control to an X-Y Table
Publisher: Elsevier BV
Date: 2011
Minimizing Pumping Energy Cost in Real-Time Operations of Water Distribution Systems Using Economic Model Predictive Control
Publisher: American Society of Civil Engineers (ASCE)
Date: 07-2021
Analytical results for the multi-objective design of model-predictive control
Publisher: Elsevier BV
Date: 11-2016
Model reduction and MIMO model predictive control of gas turbine systems
Publisher: Elsevier BV
Date: 12-2015
On a shubert algorithm-based global Extremum Seeking Scheme
Publisher: IEEE
Date: 12-2012
Adaptive Scan for Atomic Force Microscopy Based on Online Optimization: Theory and Experiment
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2020
Extremum-seeking control of a supercritical carbon-dioxide closed Brayton cycle in a direct-heated solar thermal power plant
Publisher: Elsevier BV
Date: 10-2013
Robust periodic economic MPC for linear systems
Publisher: Elsevier BV
Date: 10-2015
Model Reduction of Diesel Mean Value Engine Models
Publisher: SAE International
Date: 14-04-2015
DOI: 10.4271/2015-01-1248
Explicit Model Predictive Control for Reference Tracking on an Industrial Machine Tool
Publisher: Elsevier BV
Date: 2011
Robust distributed model predictive control of linear systems: Analysis and synthesis
Publisher: Elsevier BV
Date: 03-2022
Interior Point Differential Dynamic Programming
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Extremum Seeking With Stochastic Perturbations
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2009
Estimation of the Stoichiometric Air-Fuel Ratio in Liquefied Petroleum Gas-Injected Engines
Publisher: SAE International
Date: 21-10-2002
DOI: 10.4271/2002-01-2738
State of Charge Management for Plug-In Hybrid Vehicles With Uncertain Trip Information
Publisher: ASME International
Date: 09-2015
DOI: 10.1115/1.4030428
Abstract: Efficient state of charge management of plug-in hybrid electric vehicles (PHEVs) differs from their nonplug-in counterparts through the utilization of a charge depleting (CD) mode of operation. Several studies have shown that a blended mode of CD holds fuel economy advantages over a CD and charge sustaining (CS) combination, however, these approaches assume knowledge of the total journey distance. Here, this assumption is relaxed and the state of charge trajectory was recalculated online using a weaker assumption that only a probability distribution accumulated over past trips is available. The importance of other contributing factors to the state of charge profile such as vehicle velocity and altitude is also assessed. Simulation results on a prototype plug-in hybrid are presented with an adaptive equivalent consumption minimization strategy (ECMS) used by the powertrain management to track the proposed state of charge trajectory. The financial and environmental benefits of the proposed approach relative to other state of charge management strategies are then calculated over a number of different cycles and conditions.
Zeroth-Order Optimization on Subsets of Symmetric Matrices With Application to MPC Tuning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Cold start modelling of spark ignition engines
Publisher: Elsevier BV
Date: 08-2011
A novel approach to disturbance rejection in idle speed control towards reduced idle fuel consumption
Publisher: SAGE Publications
Date: 08-2003
DOI: 10.1243/09544070360692078
Abstract: Idle speed control remains one of the most challenging problems in the automotive control field owing to its multiple-input, multiple-output structure and the step nature of the disturbances applied. In this paper a simulation model is described for a 4.0 l production engine at idle which includes the standard bypass air valve and spark advance dynamics, as well as the e ects of operating point on cycle-by-cycle combustion-generated torque variations. A model predictive control scheme is then developed for the idle bypass valve and spark advance. The idle speed control algorithm is based on rejecting the torque disturbance using model predictive control for the bypass valve duty cycle while minimizing the transient e ects of the disturbance by adjusting the spark advance. Simulation results are presented to demonstrate the effects of different elements of the controller such as levels of spark offset from minimum spark advance for best torque at idle and feedforward load previews. Compensation of the effects of cyclic variation in combustion torque is also implemented in the controller and its benefits are discussed.
Robustness of ECMS-based Optimal Control in Parallel Hybrid Vehicles
Publisher: Elsevier BV
Date: 2013
A Framework for Simplification of PDE-Based Lithium-Ion Battery Models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2015
A Distributed Augmenting Path Approach for the Bottleneck Assignment Problem
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Multidimensional global extremum seeking via the DIRECT optimisation algorithm
Publisher: Elsevier BV
Date: 07-2013
Exploiting Inherent Human Motor Behaviour in the Online Personalisation of Human-Prosthetic Interfaces
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Model Predictive Control for Lithium-Ion Battery Optimal Charging
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
Robust stable economic MPC with applications in engine control
Publisher: IEEE
Date: 12-2014
PDE battery model simplification for SOC and SOH estimator design
Publisher: IEEE
Date: 12-2015
Multi-axis model predictive contouring control
Publisher: Informa UK Limited
Date: 08-2013
Error-Bounded Reference Tracking MPC for Machines With Structural Flexibility
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Nonlinear Model-Predictive Integrated Missile Control and Its Multiobjective Tuning
Publisher: American Institute of Aeronautics and Astronautics (AIAA)
Date: 11-2017
DOI: 10.2514/1.G002279
Online optimization of spark advance in alternative fueled engines using extremum seeking control
Publisher: Elsevier BV
Date: 08-2014
Optimization Framework for Codesign of Controlled Aerodynamic Systems
Publisher: American Institute of Aeronautics and Astronautics (AIAA)
Date: 10-2016
DOI: 10.2514/1.J054711
Tuning of multivariable model predictive controllers through expert bandit feedback
Publisher: Informa UK Limited
Date: 27-02-2020
Multiplexed extremum seeking for calibration of spark timing in a CNG-fuelled engine
Publisher: Elsevier BV
Date: 03-2018
An economic MPC approach to microgrid control
Publisher: IEEE
Date: 11-2016
A framework for reference generation and control in AFM imaging
Publisher: IEEE
Date: 11-2016
A non-gradient approach to global extremum seeking: An adaptation of the Shubert algorithm
Publisher: Elsevier BV
Date: 03-2013
Active Brake Judder Compensation Using an Electro-Hydraulic Brake System
Publisher: SAE International
Date: 14-04-2015
DOI: 10.4271/2015-01-0619
Receding horizon time-optimal control for a class of differentially flat systems
Publisher: Elsevier BV
Date: 09-2015
Fast Calibration of a Robust Model Predictive Controller for Diesel Engine Airpath
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2020
High-Bandwidth Clamp Force Control for an Electromechanical Brake
Publisher: SAE International
Date: 17-09-2012
DOI: 10.4271/2012-01-1799
A comparison of turbine mass flow models based on pragmatic identification data sets for turbogenerator model development
Publisher: Elsevier BV
Date: 05-2022
Towards dynamic object manipulation with tactile sensing for prosthetic hands
Publisher: IEEE
Date: 10-2016
Control-Oriented Modeling Requirements of a Direct-Drive Machine Tool Axis
Publisher: ASME International
Date: 05-06-2012
DOI: 10.1115/1.4006216
Abstract: The high performance demands on commercial computer numerical control (CNC) machine tools have led to the widespread adoption of direct-drive servo axes. In industrial machines, where the workpiece is manipulated by the axis, the plant dynamics seen by the control system may vary widely between different workpieces. These changing plant dynamics have been observed to lead to limit-cycle behavior for a given controller. In such a situation, conventional modeling approximations used by practitioners may fail to predict the onset of instability for these axes. This work demonstrates the failure of conventional modeling approximations to predict the observed instability in an industrial CNC servo axis and investigates the model fidelity required to replicate the observations. This represents an important consideration when designing model-based controllers for direct-drive axes in CNC machines.
Indicated Torque Reconstruction from Instantaneous Engine Speed in a Six-cylinder SI Engine Using Support Vector Machines
Publisher: SAE International
Date: 11-04-2005
DOI: 10.4271/2005-01-0030
A systematic approach to extremum seeking based on parameter estimation
Publisher: IEEE
Date: 12-2010
Demonstration of model based, off-line performance analysis on a gas turbine air compressor (GTAC)
Publisher: American Society of Mechanical Engineers
Date: 11-06-2012
DOI: 10.1115/GT2012-68825
Abstract: This paper presents a model based, off-line method for analysing the performance of in idual components in an operating gas turbine. As with other studies, a least squares approach is employed. The component models are physics-based where possible. In its most general form, the method permits simultaneous inference of the combustor efficiency and stagnation pressure loss, the hot-end heat losses and associated heat transfer coefficients, the turbine inlet temperature and the turbine’s isentropic efficiency. As part of this, combustion of unburnt fuel within the turbine is modelled. The method is demonstrated on a so-called ‘Gas Turbine Air Compressor (GTAC)’ test rig built by the group, a micro-turbine whose compressor supplies air for both the cycle and external applications, but produces no shaft work. The method is also formulated for other gas turbines. The highest order models are tested first, and then the model order is progressively reduced to determine adequate component model complexity. Since the GTAC is a micro-gas turbine, heat losses are found to be significant. It is also shown that care must be taken to distinguish between variations in the performance of different components, since the performance of several components can have similar effects on the complete, operating device.
PDE battery model simplification for charging strategy evaluation
Publisher: IEEE
Date: 05-2015
Thermodynamic analysis of a steam injected and recuperated gas Turbine Air Compressor
Publisher: American Society of Mechanical Engineers
Date: 11-06-2012
DOI: 10.1115/GT2012-68822
Abstract: Compressed air and steam are perhaps the most significant industrial utilities after electricity, gas and water, and are responsible for a significant proportion of global energy consumption. Microturbine technology, in the form of a Gas Turbine Air Compressor (GTAC), offers a promising alternative to traditional, electrically driven air compressors providing low vibration, a compact size, reduced electrical consumption and potentially reduced greenhouse gas emissions. With high exhaust temperatures, gas turbines are well suited to the cogeneration of steam. The compressed air performance can be further increased by injecting some of that cogenerated steam or by conventional recuperation. This paper presents a thermodynamic analysis of various forms of the GTAC cycle incorporating steam cogeneration, steam injection (STIGTAC) and recuperation. The addition of cogeneration leads to improved energy utilisation, while steam injection leads to a significant boost in both the compressed air delivery and efficiency. As expected, for a low pressure ratio device, recuperating the GTAC leads to a significant increase in efficiency. The combination of steam injection and recuperation forms a recuperated STIGTAC with increased compressed air performance over the unrecuperated STIGTAC at the expense of reduced steam production. Finally, an analysis using a simplified model of the STIGTAC demonstrates a significant reduction in CO2 emissions, when compared to an equivalent air compressor driven by primarily coal-based electricity and a natural gas fired boiler.
Sub-Optimal Moving Horizon Estimation in Feedback Control of Linear Constrained Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Near-time-optimal tracking controller design for an automotive electromechanical brake
Publisher: SAGE Publications
Date: 18-11-2011
Abstract: A state-constrained, robust near-time-optimal cl force tracking controller for an automotive electromechanical brake is presented. The proposed hybrid control structure consists of two switching control laws that handle tracking of rate-bounded references in the presence of state constraints. The responsive tracking utilizes an approximated time-optimal switching curve as a sliding manifold, while state constraints are handled by a linearizing–stabilizing feedback controller. The hybrid controller is proven to asymptotically track the reference in the presence of unknown but bounded time-varying disturbances and modelling errors. Implementation and validation of the proposed controller on a prototype electromechanical brake enables favourable performance comparisons with existing servo control architectures to be obtained.
Unified frameworks for sampled-data extremum seeking control: Global optimisation and multi-unit systems
Publisher: Elsevier BV
Date: 09-2013
Relative Fuel Economy Potential of Intelligent, Hybrid and Intelligent–Hybrid Passenger Vehicles
Publisher: Elsevier
Date: 2010
A physics-based integrated model of a spark ignition engine and a three-way catalyst
Publisher: Informa UK Limited
Date: 09-2012
Model Predictive Contouring Control for Biaxial Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2013
Editorial: IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling (ECOSM 2012)
Publisher: Elsevier BV
Date: 08-2014
Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery
Publisher: Elsevier BV
Date: 12-2016
Effects of moving the center's in an RBF network
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2002
Extremum seeking methods for online optimization of spark advance in alternative fueled engines
Publisher: Elsevier BV
Date: 2012
Extremum seeking of dynamical systems via gradient descent and stochastic approximation methods
Publisher: Elsevier BV
Date: 06-2015
Extremum-seeking in singularly perturbed hybrid systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2017
Rapid parameter identification for an electromechanical brake
Publisher: IEEE
Date: 11-2013
ECMS Controller Robustness in Flex-Fuel Hybrid Vehicles
Publisher: ASME International
Date: 08-08-2014
DOI: 10.1115/1.4027561
Abstract: Control algorithms for hybrid vehicles have undergone extensive research and development leading to near-optimal techniques being employed and demonstrated in prototype vehicles over the previous decade. The use of different implementations of optimal controllers is inevitably linked through the assumed knowledge of the system being controlled. With the growing interest in alternative fuels, such as ethanol, liquified petroleum gas (LPG), and compressed natural gas (CNG) due to enhanced emissions and fuel security considerations, a natural extension is to hybridize these engines to improve fuel economy and CO2 emissions. This step is complicated by the potential variation in fuel composition seen with many gasoline and diesel alternatives, leading to uncertainty in the models used by the hybrid powertrain controller. This work investigates the robustness of one hybrid powertrain optimal control approach, the equivalent consumption minimization strategy (ECMS). Two case studies are performed involving experimentally obtained engine maps from two significantly different prototypes flex-fuel vehicles to quantify the potential impact of map error caused by incorrect fuel assumptions.
Least cost, utility scale abatement from Australia's NEM (National Electricity Market). Part 2
Publisher: Elsevier BV
Date: 04-2016
Model predictive contouring control
Publisher: IEEE
Date: 12-2010
Suboptimal Cold Start Strategies for Spark Ignition Engines
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2013
Personalized Online Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
A Framework for Extremum Seeking Control of Systems With Parameter Uncertainties
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2013
Mesh adaptation in direct collocated nonlinear model predictive control
Publisher: Wiley
Date: 31-05-2018
DOI: 10.1002/RNC.4235
Control of an Electromechanical Brake for Automotive Brake-By-Wire Systems with an Adapted Motion Control Architecture
Publisher: SAE International
Date: 04-05-2004
DOI: 10.4271/2004-01-2050
Online optimisation of fuel consumption subject to NO x constraints
Publisher: Elsevier BV
Date: 07-2017
Scan Rate Adaptation for AFM Imaging Based on Performance Metric Optimization
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2020
Fuel economy improvements for urban driving: Hybrid vs. intelligent vehicles
Publisher: Elsevier BV
Date: 02-2007
Discrete time extremum seeking using stochastic perturbations
Publisher: IEEE
Date: 2007
Spark ignition engine control strategies for minimising cold start fuel consumption under cumulative tailpipe emissions constraints
Publisher: Elsevier BV
Date: 08-2013
Optimal move blocking strategies for model predictive control
Publisher: Elsevier BV
Date: 11-2015
A Tool for the Automation of Simulation Studies
Publisher: IEEE
Date: 2008
Adaptive Brake Torque Variation Compensation for an Electromechanical Brake
Publisher: SAE International
Date: 17-09-2012
DOI: 10.4271/2012-01-1840
Modelling Combustion Variability in LPG Injected Engines for Improved Engine Performance at Idle
Publisher: SAE International
Date: 08-03-2004
DOI: 10.4271/2004-01-0420
Emulation design for a class of extremum seeking controllers: Case studies in ABS design and spark timing calibration
Publisher: IEEE
Date: 11-2013
The importance of model fidelity, update rate and horizon length in model based microgrid control
Publisher: IEEE
Date: 11-2016
On the potential for-improving fuel economy using a traffic flow sensor network
Publisher: IEEE
Date: 2005
Economic Model Predictive Control and Applications for Diesel Generators
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2017
A class of adaptive feedforward control using multiplexed extremum seeking
Publisher: IEEE
Date: 12-2016
On sampled-data extremum seeking control via stochastic approximation methods
Publisher: IEEE
Date: 06-2013
Simplification techniques for PDE-based Li-Ion battery models
Publisher: IEEE
Date: 12-2015
A Cold-Start Emissions Model of an Engine and Aftertreatment System for Optimisation Studies
Publisher: SAE International
Date: 12-04-2010
DOI: 10.4271/2010-01-1274
A comparison of fuel consumption between hybrid and intelligent vehicles during urban driving
Publisher: SAGE Publications
Date: 2006
Abstract: Two major emerging automotive technologies are the continued development of hybrid-electric drivetrains and telematics-enabled (or ‘intelligent’) vehicles capable of garnering and utilizing information about the traffic environment in which the vehicles are operating. The significant costs of each of these technologies are located internal to the vehicle (i.e. the powertrain) in the former case and external to the vehicle (i.e. the road and communication infrastructure) in the latter. In this paper, a simple algorithm is proposed for shaping the velocity profile of an intelligent vehicle subjected to different degrees of traffic information. The fuel consumption of this intelligent vehicle is then compared to a hybrid vehicle with a configuration optimized for an urban drive cycle under the constraint that its performance must match the conventional vehicle it is replacing. This provides some perspective on the extent to which telematics can be used to improve fuel economy relative to the best possible hybrid alternative. Finally, the fuel consumption of an intelligent-hybrid vehicle is investigated however, the optimal use of information and switching control in the hybrid drivetrain remains an unsolved problem to date.
Sub-Optimal MPC With Dynamic Constraint Tightening
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Misfire-misfuel classification using support vector machines
Publisher: SAGE Publications
Date: 09-2007
Abstract: This paper proposes the use of support vector machines to perform classification between different types of missed combustion event in a six-cylinder engine. On-board diagnostics regulations require the detection of missed combustion events, which is possible through interpretation of crankshaft speed information. However, current approaches provide no information on the actual cause of the event, in particular whether it was caused by a misfuel (absence of fuel) or a misfire (absence of spark) event. Whilst the impact on the environment and emission treatment systems due to misfuel is minimal, misfire events are detrimental to both. Consequently information regarding the causes of missing combustion events potentially allows the development of unique recovery strategies particular to the source of the problem. In this paper, an approach is proposed that will provide the potential for, firstly, detection of a missing combustion event and, secondly, real-time classification of the event into either misfuel or misfire events using feedback from a heated universal exhaust gas oxygen sensor. In order to evaluate the potential of such a system in an engine control unit, a computational complexity measure is also presented.
Active Brake Judder Attenuation Using an Electromechanical Brake-by-Wire System
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Multi-agent source seeking via discrete-time extremum seeking control
Publisher: Elsevier BV
Date: 09-2014
Tactile-Based Blind Grasping: A Discrete-Time Object Manipulation Controller for Robotic Hands
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
Task-Space Synergies for Reaching Using Upper-Limb Prostheses
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
An experimental investigation of additional actuators on a submarine diesel generator
Publisher: Elsevier BV
Date: 10-2016
Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer
Publisher: ASME International
Date: 12-2002
DOI: 10.1115/1.1515328
Abstract: This paper proposes a new Model Predictive Control scheme incorporating a Radial Basis Function Network Observer for the fuel injection problem. Two new contributions are presented here. First a Radial Basis Function Network is used as an observer for the air system. This allows for gradual adaptation of the observer, ensuring the control scheme is capable of maintaining good performance under changing engine conditions brought about by engine wear, variations between in idual engines, and other similar factors. The other major contribution is the use of model predictive control algorithms to compensate for the fuel pooling effect on the intake manifold walls. Two model predictive control algorithms are presented which enforce input, and input and state constraints. In this way stability under the constraints is guaranteed. A comparison between the two constrained MPC algorithms is qualitatively presented, and conclusions are drawn about the necessity of constraints for the fuel injection problem. Simulation results are presented that demonstrate the effectiveness of the control scheme, and the proposed control approach is validated on a four-cylinder spark ignition engine.
Model Predictive Control for Reference Tracking on an Industrial Machine Tool Servo Drive
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2013
Stability analysis for distributed perimeter controlled traffic networks
Publisher: IEEE
Date: 07-2016
Technical Note for “Tactile-Based Blind Grasping: A Discrete-Time Object Manipulation Controller for Robotic Hands”
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
Hierarchical economic MPC for systems with storage states
Publisher: Elsevier BV
Date: 08-2018
Least cost, utility scale abatement from Australia's NEM (National Electricity Market). Part 1
Publisher: Elsevier BV
Date: 04-2016
Optimal cold start calibration of spark ignition engines
Publisher: Elsevier BV
Date: 2011
An algorithm for the selection of linearisation points in non-linear systems: a diesel air-path case study
Publisher: Informa UK Limited
Date: 25-10-2022
Feature Identification Framework for Back Injury Risk in Repetitive Work With Application in Sheep Shearing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2023
Collision Avoidance Based on Robust Lexicographic Task Assignment
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Development and Validation of a Physics-Based, Dynamic Model of a Gas Turbine
Publisher: American Society of Mechanical Engineers
Date: 03-06-2013
DOI: 10.1115/GT2013-94831
Abstract: This paper presents and validates a physics-based, dynamic model of a gas turbine. The model is an extension of that proposed by Badmus et al. [1], such that representation of a complete gas turbine is achieved. It includes new models of several gas turbine components, in particular the turbine and compressor, and also applies a well known method for prescribing boundary conditions [10] to the gas path. This model first uses data from a previously published, static model of the same gas turbine to determine this dynamic model’s many so-called ‘forcing terms’. A least-squares optimisation is then undertaken to estimate the shaft inertia and the thermal inertia of system components using transient test data. Importantly, these optimised results are all close to physically reasonable estimates. Further, they show that the shaft dynamics are only significant for a short period at the start of most transients, after which the dynamic effects of thermal storage are dominant. The complete gas turbine model is then validated against transient test data. Whilst the simulated traces demonstrate some steady-state error arising from the static model [12], the overall system dynamics appear to be captured well. Since steady-state error can be integrated out in a control system, this suggests that the proposed dynamic model is appropriate for use in a model-based, gas turbine controller.
Demonstration of model-based, off-line performance analysis on a gas turbine air compressor
Publisher: ASME International
Date: 08-01-2013
DOI: 10.1115/1.4007731
Abstract: This paper presents a model-based, off-line method for analyzing the performance of in idual components in an operating gas turbine. This integrated model combines submodels of the combustor efficiency, the combustor pressure loss, the hot-end heat transfer, the turbine inlet temperature, and the turbine performance. As part of this, new physics-based models are proposed for both the combustor efficiency and the turbine. These new models accommodate operating points that feature the flame extending beyond the combustor and combustion occurring in the turbine. Systematic model reduction is undertaken using experimental data from a prototype, microgas turbine rig built by the group. This so called gas turbine air compressor (GTAC) prototype utilizes a single compressor to provide cycle air and a supply of compressed air as its sole output. The most general model results in sensible estimates of all system parameters, including those obtained from the new models that describe variations in both the combustor and turbine performance. As with other microgas turbines, heat losses are also found to be significant.
Gaussian networks for fuel injection control
Publisher: SAGE Publications
Date: 10-2001
Abstract: This paper proposes a radial basis function (RBF) based approach for the fuel injection control problem. In the past, neural controllers for this problem have centred on using a cerebellar model articulation controller (CMAC) type network with some success. The current production engine control units also use look-up tables in their fuel injection controllers, and if adaptation is permitted to these look-up tables the overall effect closely mimics the CMAC network. Here it is shown that an RBF network with significantly fewer nodes than a CMAC network is capable of delivering superior control performance on a mean value engine model simulation. The proposed approach requires no a priori knowledge of the engine systems, and on-line learning is achieved using gradient descent updates. The RBF network is then implemented on a four-cylinder engine and, after a minor modification, outperforms a production engine control unit.
A Methodology for Minimising Emissions Constrained Cold Start Fuel Consumption
Publisher: SAE International
Date: 16-04-2012
DOI: 10.4271/2012-01-0894
State of charge management for plug in hybrid electric vehicles with uncertain distance to recharge
Publisher: IEEE
Date: 06-2013
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Amount: $540,000.00
Funder: Australian Research Council
View Funded ActivityIndustrial Transformation Training Centres - Grant ID: IC150100023
Start Date: 07-2016
End Date: 05-2022
Amount: $4,000,000.00
Funder: Australian Research Council
View Funded Activity