Reducing Blackout Risk through Live Modelling and Monitoring. This project aims to reduce the risk of blackouts through the development of on-line systems for modelling and monitoring of loads and power system controllers. This project is a collaboration with Transgrid, Powerlink, Vencorp and ElectraNetSA, four Transmission companies renowned for innovation in the area of system stability. The project proposes to develop innovative algorithms and to implement these algorithms using advanced hard ....Reducing Blackout Risk through Live Modelling and Monitoring. This project aims to reduce the risk of blackouts through the development of on-line systems for modelling and monitoring of loads and power system controllers. This project is a collaboration with Transgrid, Powerlink, Vencorp and ElectraNetSA, four Transmission companies renowned for innovation in the area of system stability. The project proposes to develop innovative algorithms and to implement these algorithms using advanced hardware, software and communication systems to dynamically generate decision tools for safe and efficient power system operating conditions. These systems will also generate alarms if any risky operational situations arise.Read moreRead less
New System Identification Techniques Utilising Misspecified Models. National benefits of the proposed research project will result from improvements in control due to a better, more complete understanding of the models obtained by the newly proposed system identification technique. The resulting effect on industrial practice will be an increase in efficiency, by reduced waste, lower pollution levels and increased throughput. Also, the techniques developed will be directly applicable to current r ....New System Identification Techniques Utilising Misspecified Models. National benefits of the proposed research project will result from improvements in control due to a better, more complete understanding of the models obtained by the newly proposed system identification technique. The resulting effect on industrial practice will be an increase in efficiency, by reduced waste, lower pollution levels and increased throughput. Also, the techniques developed will be directly applicable to current research in the areas of complex systems, such as smart structures and biological studies of the dynamic effects of drugs and hormones on genes.Read moreRead less
Robust Experiment Design for Dynamical System Identification. Innovative and new robust experiment design methodologies are a Frontier Technology for Transforming Australian Industries. By providing a solid foundation for generating high fidelity models, robust experiment design will, by the use of breakthrough science, facilitate the estimation of models in minimum time. Also, this will entail minimal disruption to the normal operation of the process under study. With the majority of advanced ....Robust Experiment Design for Dynamical System Identification. Innovative and new robust experiment design methodologies are a Frontier Technology for Transforming Australian Industries. By providing a solid foundation for generating high fidelity models, robust experiment design will, by the use of breakthrough science, facilitate the estimation of models in minimum time. Also, this will entail minimal disruption to the normal operation of the process under study. With the majority of advanced industrial process control systems reliant on accurate models significant savings could also be made due to the implicit improvement in process control.Read moreRead less
Robust Dynamical System Identification. Innovative robust system identification methods are a Frontier Technology for Transforming Australian Industries. Robust system identification will provide a technology for generating high fidelity models by the use of breakthrough science. With the majority of advanced industrial control systems reliant on accurate models significant savings could be made due to the implicit improvement in process control. Furthermore, system identification is a key enabl ....Robust Dynamical System Identification. Innovative robust system identification methods are a Frontier Technology for Transforming Australian Industries. Robust system identification will provide a technology for generating high fidelity models by the use of breakthrough science. With the majority of advanced industrial control systems reliant on accurate models significant savings could be made due to the implicit improvement in process control. Furthermore, system identification is a key enabling technology in most modern systems (e.g. in aerospace, manufacturing, mining, minerals processing and telecommunications) and is also important in the emerging areas of nanotechnology and systems biology.Read moreRead less
Power systems with diverse generation - implications, control and capability. This research will generate a systematic methodology to handle the impact of the renewable energy sources on the NSW power grid. It increases our understanding of the impact of climate change policies relating to mandatory targets for greenhouse gas reduction helping to build Australia’s research capacity in the national priority area of an environmentally sustainable Australia. The anticipated methodology can also be ....Power systems with diverse generation - implications, control and capability. This research will generate a systematic methodology to handle the impact of the renewable energy sources on the NSW power grid. It increases our understanding of the impact of climate change policies relating to mandatory targets for greenhouse gas reduction helping to build Australia’s research capacity in the national priority area of an environmentally sustainable Australia. The anticipated methodology can also be seen as protecting the security of power infrastructure as well. Maintaining a critical energy infrastructure protects our way of life and ensures ongoing social, economic and environmental well being of Australia.Read moreRead less
Biological pattern generator for control and optimization of locomotion systems. This proposal exploits the interdisciplinary nature of systems and control area and incorporates biology science. It is expected to generate a synergy between biology science and control engineering and to advance scientific understanding in both fields. The proposed research will have impact on new innovations in a variety of fields. This will bring economic benefits for Australia. It will help to develop engineers ....Biological pattern generator for control and optimization of locomotion systems. This proposal exploits the interdisciplinary nature of systems and control area and incorporates biology science. It is expected to generate a synergy between biology science and control engineering and to advance scientific understanding in both fields. The proposed research will have impact on new innovations in a variety of fields. This will bring economic benefits for Australia. It will help to develop engineers for industry who have team-oriented problem-solving skills in a multidisciplinary working environment. It will also stimulate students' intellectual curiosity into engineering and science through a series of innovative interdisciplinary research/educational activities.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
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
Automated helicopter hover and recovery system for operations at sea. The small size and simplicity of the integrated system outlined in this project will significantly improve the effectiveness of maritime surveillance for homeland security whilst enabling substantially lower operational costs. The proposal aims to develop control and sensing techniques, enabling small rotary wing unmanned air-vehicles (UAVs) weighing less than 100 kgs to operate from small-size vessels. This will be achieved ....Automated helicopter hover and recovery system for operations at sea. The small size and simplicity of the integrated system outlined in this project will significantly improve the effectiveness of maritime surveillance for homeland security whilst enabling substantially lower operational costs. The proposal aims to develop control and sensing techniques, enabling small rotary wing unmanned air-vehicles (UAVs) weighing less than 100 kgs to operate from small-size vessels. This will be achieved by resolving the current lack of integration between ship motion and the unmanned vehicle guidance systems. The proposed research will make substantial contributions in areas of ship motion prediction and sensing and hover control of tethered and non-tethered small helicopters.
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High Efficient and Reliable Power Converters with Low Electromagnetic Interference Based on an Intelligent Distributed Control System in Train Systems. A large percentage of the old train systems in Australia have old equipment which decreases the efficiency and reliability of the system and they can be replaced by high power smart converters with minimum losses and electromagnetic interference. This project aims to improve the efficiency of train systems by intelligent distributed control syste ....High Efficient and Reliable Power Converters with Low Electromagnetic Interference Based on an Intelligent Distributed Control System in Train Systems. A large percentage of the old train systems in Australia have old equipment which decreases the efficiency and reliability of the system and they can be replaced by high power smart converters with minimum losses and electromagnetic interference. This project aims to improve the efficiency of train systems by intelligent distributed control systems which reduces fuel consumption and greenhouse gas emissions. The outcomes can be applied to other transport systems in Australia. Another benefit is the production of a PhD graduand with significant experience in the use of smart power converters to improve efficiency of all types of transport systems. Read moreRead less