Novel Partial Discharge Detection Technique based on an Overhead Transmission Line Sensing Architecture. Overhead power transmission systems are a common instigator of fires through the production of sparks from faulty insulators. Australia is experiencing extended hot and dry conditions that amplify the risk of these events becoming large scale bushfires, causing millions of dollars of damage and destroying immeasurable amounts of native flora and fauna. The overhead transmission line sensing ....Novel Partial Discharge Detection Technique based on an Overhead Transmission Line Sensing Architecture. Overhead power transmission systems are a common instigator of fires through the production of sparks from faulty insulators. Australia is experiencing extended hot and dry conditions that amplify the risk of these events becoming large scale bushfires, causing millions of dollars of damage and destroying immeasurable amounts of native flora and fauna. The overhead transmission line sensing system proposed in this research will provide power companies with a cost effective insulator condition monitoring tool to continually survey Australia's aging electrical infrastructure. This ensures a reliable electricity supply to consumers, while also protecting the ecosystems of Australia's bushland. Read moreRead less
New research directions in the area of sampled-data systems. Increased application of digital technology in a wide variety of control engineering applications has led to renewed interest in the study of sampled-data systems. With many applications ranging from nano-technology through to aerospace, robotics, bio-medicine and telecommunications, sampled-data systems form an integral part of many frontier technologies arising in engineering. In exploring and furthering these emerging technologies, ....New research directions in the area of sampled-data systems. Increased application of digital technology in a wide variety of control engineering applications has led to renewed interest in the study of sampled-data systems. With many applications ranging from nano-technology through to aerospace, robotics, bio-medicine and telecommunications, sampled-data systems form an integral part of many frontier technologies arising in engineering. In exploring and furthering these emerging technologies, this proposal aims to provide exciting breakthroughs in the theory of time and event driven sampled-data nonlinear systems. Equipped with these powerful new tools, we will address important analysis and design issues in this area, for example, for Networked Control Systems.Read moreRead less
Development of an endofunctional capsule for targeted delivery of biomarkers in the alimentary tract. The proposed capsule will provide a solution to the problem of accessing the small intestine for targeted delivery of biomarkers and drugs, and contribute to translational medical research to enhance our understanding of the function of the gut. Successful completion of this project will build on defined priority areas of research strength in Australia (frontier technologies, smart information u ....Development of an endofunctional capsule for targeted delivery of biomarkers in the alimentary tract. The proposed capsule will provide a solution to the problem of accessing the small intestine for targeted delivery of biomarkers and drugs, and contribute to translational medical research to enhance our understanding of the function of the gut. Successful completion of this project will build on defined priority areas of research strength in Australia (frontier technologies, smart information use) and assist in the provision of information critical to the design of novel in vivo endofunctional devices. The technologies to be developed in this project will be translatable to the development of other in vivo functional investigation and treatment devices. Read moreRead less
Nonlinear systems with disturbances: analysis, controller design and tradeoffs. A range of classical asymptotic methods (averaging, singular perturbations and slowly varying techniques) have been recently generalized to deal with nonlinear systems with disturbances. The goal of this proposal is the activation of these methods in analysis, controller design and understanding the design tradeoffs of nonlinear system with disturbances. Application areas are in adaptive, vibrational and gain schedul ....Nonlinear systems with disturbances: analysis, controller design and tradeoffs. A range of classical asymptotic methods (averaging, singular perturbations and slowly varying techniques) have been recently generalized to deal with nonlinear systems with disturbances. The goal of this proposal is the activation of these methods in analysis, controller design and understanding the design tradeoffs of nonlinear system with disturbances. Application areas are in adaptive, vibrational and gain scheduling control.Read moreRead less
Tools for analysis and controller design for nonlinear systems with disturbances. Control engineers often need to deal with nonlinear systems with disturbances (NSD). Analysis and controller design for NSD requires the use of a range of different tools including singular perturbations, averaging, slowly varying systems methods and large scale systems methods. However, often these tools are inadequate as they are only applicable to systems without disturbances. We propose to extend these tools to ....Tools for analysis and controller design for nonlinear systems with disturbances. Control engineers often need to deal with nonlinear systems with disturbances (NSD). Analysis and controller design for NSD requires the use of a range of different tools including singular perturbations, averaging, slowly varying systems methods and large scale systems methods. However, often these tools are inadequate as they are only applicable to systems without disturbances. We propose to extend these tools to NSD and apply them to a range of problems arising in analysis and controller design for NSD. These applications include vibrational control, gain scheduling, H-infinity control and adaptive control.Read moreRead less
Fast Signal Processing and Control Algorithms for Complex Hierarchical Systems. Complex dynamical behaviour is inherent to many real-world systems including telecommunications networks, financial markets and biological systems. High performance signal processing and control algorithms for such large-scale, complex systems are computationally very expensive in general. An important class of large-scale Markovian models arising in many applications shows a remarkable hierarchical property, display ....Fast Signal Processing and Control Algorithms for Complex Hierarchical Systems. Complex dynamical behaviour is inherent to many real-world systems including telecommunications networks, financial markets and biological systems. High performance signal processing and control algorithms for such large-scale, complex systems are computationally very expensive in general. An important class of large-scale Markovian models arising in many applications shows a remarkable hierarchical property, displaying strong interactions within certain clusters of states and weak interactions among these clusters. By utilizing this property, the proposed project will design and analyze novel reduced-complexity signal processing and control algorithms with rigorous performance guarantees. In addition, this project will explore possibilities of making these algorithms hierarchical such that they are easy to implement through decentralization.Read moreRead less
Towards Distributed Phased Array Radar for High Resolution Weather Monitoring. Several recent reports on climate change by leading international and national bodies forecast that the rate of weather hazards such as storms and wind-shear, and of weather-associated phenomena such as bush fires will increase over the next 40 years. The current technology for monitoring weather events, and effects like wind-shift, which has a serious impact on dangers associated with bush fires, has significant wea ....Towards Distributed Phased Array Radar for High Resolution Weather Monitoring. Several recent reports on climate change by leading international and national bodies forecast that the rate of weather hazards such as storms and wind-shear, and of weather-associated phenomena such as bush fires will increase over the next 40 years. The current technology for monitoring weather events, and effects like wind-shift, which has a serious impact on dangers associated with bush fires, has significant weaknesses. We will deliver considerable improvements in monitoring capability by developing the technology for using a network of small phased array radars. We aim to place monitoring resources where end-user needs are greatest.Read moreRead less
Stochastic Sensor Scheduling in Statistical Signal Processing. In several statistical signal processing applications, due to computational or communication constraints, at each time instant one can use only a few out of several possible noisy (stochastic) sensors. The stochastic sensor scheduling problem deals with how to dynamically choose which group of sensors to pick at each time instant. This project involves research in sensor scheduling for widely used stochastic dynamical systems such as ....Stochastic Sensor Scheduling in Statistical Signal Processing. In several statistical signal processing applications, due to computational or communication constraints, at each time instant one can use only a few out of several possible noisy (stochastic) sensors. The stochastic sensor scheduling problem deals with how to dynamically choose which group of sensors to pick at each time instant. This project involves research in sensor scheduling for widely used stochastic dynamical systems such as Hidden Markov Models and Jump Markov Linear Systems. It focuses on the design and analysis of stochastic control algorithms such as dynamic programming and simulation based randomized methods. The research will lead to an integrated theory incorporating stochastic control, statistical signal processing and combinatorial optimization. We will also apply the resulting techniques to tracking maneuvering targets given noisy observations.Read moreRead less
Capacity Enhancement, Energy-Loss Reduction and Voltage Control for Remote Three-Phase Distribution Feeders Supplying Electrical Power to Single-Wire Earth-Return Systems. Long distribution feeders supplying electrical energy to Single-Wire Earth-Return (SWER) systems are unique sub-systems of the electric power network in Australia. The SWER systems are inherently unbalanced and use conductors with high resistance values resulting in high energy losses. The capital costs of these systems are hi ....Capacity Enhancement, Energy-Loss Reduction and Voltage Control for Remote Three-Phase Distribution Feeders Supplying Electrical Power to Single-Wire Earth-Return Systems. Long distribution feeders supplying electrical energy to Single-Wire Earth-Return (SWER) systems are unique sub-systems of the electric power network in Australia. The SWER systems are inherently unbalanced and use conductors with high resistance values resulting in high energy losses. The capital costs of these systems are high due to the low area density of loads and the systems are challenged by increasing loads. New methods will be developed for load balancing, controlling losses and improving the power quality. Comparisons will be made between the new technologies and the reconstruction or augmentation of the feeders. It is expected that substantial economic and greenhouse emission benefits will result.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0883074
Funder
Australian Research Council
Funding Amount
$600,000.00
Summary
Distributed Generation Evaluation Facility and Power Control. The development and demonstration of Distributed Energy Resource solutions will assist the deployment of greenhouse gas reduction strategies and of reliability improvements with particular benefits for rural and remote electricity supply. Small generation units can be the best solution for some reliability and voltage support issues in rural/remote networks. The research will show how these can be operated and the benefits achievable ....Distributed Generation Evaluation Facility and Power Control. The development and demonstration of Distributed Energy Resource solutions will assist the deployment of greenhouse gas reduction strategies and of reliability improvements with particular benefits for rural and remote electricity supply. Small generation units can be the best solution for some reliability and voltage support issues in rural/remote networks. The research will show how these can be operated and the benefits achievable for sources including renewables in a manner that is accessible to communities and with a rigorous set of test scenarios that will satisfy concerns from utilities. The flexible system nature is the significant development previously unavailable to researchers/developers.Read moreRead less