Dissipativity based distributed model predictive control for complex industrial processes. This project will extend and improve the model predictive control technology, which is the most widely used advanced control approach in process industries. The results will potentially benefit the Australian mineral processing industry where many processes are geographically distributed, leading to more cost-effective operation.
Integrated Approach to Plantwide Fault Diagnosis and Fault-tolerant Control. This project aims to develop a new approach to detect and reduce the impact of faults in industrial plants. Operations of modern industrial processes increasingly depend on automatic control systems, which can make the plants susceptible to faults such as sensor/actuator failures. Based on the concept of dissipative systems, the project aims to develop a novel integrated approach to distributed fault diagnosis and fault ....Integrated Approach to Plantwide Fault Diagnosis and Fault-tolerant Control. This project aims to develop a new approach to detect and reduce the impact of faults in industrial plants. Operations of modern industrial processes increasingly depend on automatic control systems, which can make the plants susceptible to faults such as sensor/actuator failures. Based on the concept of dissipative systems, the project aims to develop a novel integrated approach to distributed fault diagnosis and fault-tolerant control for plant-wide processes. It aims to capture the key dynamic features of normal and abnormal processes by their dissipativity properties, and to use these to develop an efficient online fault diagnosis approach based on process input and output trajectories.Read moreRead less
Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that e ....Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that ensures plant-wide stability at any feasible set-points or references and a distributed economic model predictive control approach that coordinates autonomous controllers to achieve plant-wide economic objectives in a self-organising manner. The outcomes of this project are expected to form a process control framework for next-generation smart plants.Read moreRead less
Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achiev ....Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achieve desired dynamic features. This project aims to develop such a data-based approach by controlling latent variable dynamics, using the behavioural systems framework integrated with big data analytics and artificial neural networks. The outcomes are expected to help build a cornerstone for future smart manufacturing.Read moreRead less
Development of an integrated methodology to assess dewatering system performance in solid-liquid separation. 3D visualisations of microstructures are possible with techniques such as confocal laser microscopy and high resolution X-ray microtomography. Data obtained in-situ enable direct computation of solids assembly properties and their permeability to fluids. A specific application involving aggregate formation and sediment networks could be evaluated through micro-scale analysis combined with ....Development of an integrated methodology to assess dewatering system performance in solid-liquid separation. 3D visualisations of microstructures are possible with techniques such as confocal laser microscopy and high resolution X-ray microtomography. Data obtained in-situ enable direct computation of solids assembly properties and their permeability to fluids. A specific application involving aggregate formation and sediment networks could be evaluated through micro-scale analysis combined with robust fluid flow simulations. The method can potentially be utilized to predict trends such as filtration behaviour of materials under different states of compression. This offers significant benefits in formulating the design of flocculated systems pertinent to a number of industrial sectors wishing to design optimum solid-liquid separation processes.Read moreRead less
Electrocoagulation as a low-cost option for the continuous treatment of highly polluted wastewater. Water is a critically important 'raw material' with less than 0.01% of Earth's total supply being readily available. 'Once through' utilisation of this resource is no longer an acceptable industrial practise. Recycling/reuse of industrial wastewater must become the norm with economic pollutant recovery being seen as integral to the solution. The food/beverage industries are major water users. Deta ....Electrocoagulation as a low-cost option for the continuous treatment of highly polluted wastewater. Water is a critically important 'raw material' with less than 0.01% of Earth's total supply being readily available. 'Once through' utilisation of this resource is no longer an acceptable industrial practise. Recycling/reuse of industrial wastewater must become the norm with economic pollutant recovery being seen as integral to the solution. The food/beverage industries are major water users. Detailed scoping work in 2005 has identified electrocoagulation as a technically simple and economically viable option for this industry sector. Our industry partner is part of a global multi-national corporation within which successful wastewater treatment technology will be rapidly exploited and exported. Read moreRead less
Dynamic Controllability Analysis for Plantwide Process Design and Control. World-wide chemical plants represent many billions of dollars of investment. Improvements to the process designs in terms of controllability would have the potential to provide large economic benefits, as it implies improved productivity, reduced operating costs and product variability. This proposed research will be a step towards integration of process design and control, which has been widely recognized as the key to t ....Dynamic Controllability Analysis for Plantwide Process Design and Control. World-wide chemical plants represent many billions of dollars of investment. Improvements to the process designs in terms of controllability would have the potential to provide large economic benefits, as it implies improved productivity, reduced operating costs and product variability. This proposed research will be a step towards integration of process design and control, which has been widely recognized as the key to this improvement. The outcomes from this project may be readily implemented in process design practice, and therefore have a direct impact to the Australian and world-wide process industries, helping to build a more efficient and environmental conscious Australian process industries.Read moreRead less
Novel disinfection to combat antibiotic resistance . Control of antimicrobial resistance in water is critical. Disinfection in water and wastewater treatment plants is a vital barrier against antibiotic resistant bacteria (ARB); however, it is less effective in controlling- and may even facilitate the spread of antibiotic resistance genes (ARGs). This project aims to comprehensively investigate the effectiveness of widely-used disinfection processes in controlling ARB/ARGs, determine the underly ....Novel disinfection to combat antibiotic resistance . Control of antimicrobial resistance in water is critical. Disinfection in water and wastewater treatment plants is a vital barrier against antibiotic resistant bacteria (ARB); however, it is less effective in controlling- and may even facilitate the spread of antibiotic resistance genes (ARGs). This project aims to comprehensively investigate the effectiveness of widely-used disinfection processes in controlling ARB/ARGs, determine the underlying mechanisms, and identify optimal treatment conditions. This project also aims to develop a novel, cost-effective and environmentally friendly disinfection process for efficient ARGs destruction, thus significantly strengthening Australia’s capacity to prevent the spread of antibiotic resistance.Read moreRead less
A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, inte ....A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, integrated with machine learning techniques, this project expects to develop a novel framework for data-driven control using big process data. The outcomes are expected to benefit the Australian process industry, where many processes are controlled by inadequate logic controllers, by improving their operational efficiency.Read moreRead less
Next generation gas separations via innovative adsorption technologies. This project aims to develop new gas separation technologies that combine novel materials and pressure swing adsorption cycles to deliver inexpensive industrial processes capable of both high recovery and high purity products. The project will advance our ability to manipulate the phenomenon of regulated guest admission into microporous materials, and integrate such materials within new types of dual-reflux adsorption cycles ....Next generation gas separations via innovative adsorption technologies. This project aims to develop new gas separation technologies that combine novel materials and pressure swing adsorption cycles to deliver inexpensive industrial processes capable of both high recovery and high purity products. The project will advance our ability to manipulate the phenomenon of regulated guest admission into microporous materials, and integrate such materials within new types of dual-reflux adsorption cycles that deliver multiple refined gas products. Successful implementation of these industrial developments will increase Australia's access to cheap supplies of natural gas, encourage the broader use of biomass, lower the carbon emissions of industrial processes, and efficiently recover high-value compounds only present at trace concentrations.Read moreRead less