Automated vision-based aircraft collision warning technologies. Australia is a sparsely populated country with a number of unique airspace features. This project will investigate novel vision-based collision warning systems that can improve safety for piloted aircraft and also help achieve integration of UASs (Uninhabited Aerial Systems) into national airspace. The benefits of UAS technologies are particularly relevant to Australia, as governments and industry struggle to cope with providing equ ....Automated vision-based aircraft collision warning technologies. Australia is a sparsely populated country with a number of unique airspace features. This project will investigate novel vision-based collision warning systems that can improve safety for piloted aircraft and also help achieve integration of UASs (Uninhabited Aerial Systems) into national airspace. The benefits of UAS technologies are particularly relevant to Australia, as governments and industry struggle to cope with providing equivalent levels of service to remote communities over vast distances (or border protection of vast regions). The population base of Australia requires that cost-effective solutions are sought to meet this end. Read moreRead less
Novel power system architecture and control for 'More Electric Aircraft'. This project aims to propose a new conceptual design of an internal aircraft electrical system and its control, which minimises the issues of traditional power systems and takes advantage of contemporary control and technology advances to minimise weight/volume and maximise reliability. The project will target a specific design, which includes consideration of novel power electronic topologies, to achieve these goals. The ....Novel power system architecture and control for 'More Electric Aircraft'. This project aims to propose a new conceptual design of an internal aircraft electrical system and its control, which minimises the issues of traditional power systems and takes advantage of contemporary control and technology advances to minimise weight/volume and maximise reliability. The project will target a specific design, which includes consideration of novel power electronic topologies, to achieve these goals. The results will be validated through simulation, experiments and field testing. It is anticipated that the ideas developed within this project will have a major impact on More Electric Aircraft technology, as well as on general interconnected energy resource systems, such as DC and AC microgrids.Read moreRead less
Monitoring and Maintaining the Structural Health of Bridges Using Vibration Characteristics. Bridges form an important part of our physical infrastructure system and in Queensland alone there are nearly 3000 bridges with an annual maintenance cost in excess of 20 million dollars and a replacement value in excess of 2 billion dollars. It is necessary to ensure that these bridges function safely and efficiently at all times. Bridge failure will cause disruption to normal lives and expensive repa ....Monitoring and Maintaining the Structural Health of Bridges Using Vibration Characteristics. Bridges form an important part of our physical infrastructure system and in Queensland alone there are nearly 3000 bridges with an annual maintenance cost in excess of 20 million dollars and a replacement value in excess of 2 billion dollars. It is necessary to ensure that these bridges function safely and efficiently at all times. Bridge failure will cause disruption to normal lives and expensive repairs. Towards this end, this project will develop an innovative structural health monitoring system to monitor and maintain the structural health of our bridges. The project outcomes will have immediate applications in Australia and overseas with economic and social benefits to the community.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
Efficiency maps for electric machines in electric vehicles. This project aims to improve methods for calculating and predicting efficiency maps, which describe how the efficiency of electric machines varies depending on their operating point. It will interpret and model their features, and link the design parameters to the resultant efficiency map. This project will consider machines including synchronous (permanent magnet, reluctance and wound-field) and induction types. Electric machines are n ....Efficiency maps for electric machines in electric vehicles. This project aims to improve methods for calculating and predicting efficiency maps, which describe how the efficiency of electric machines varies depending on their operating point. It will interpret and model their features, and link the design parameters to the resultant efficiency map. This project will consider machines including synchronous (permanent magnet, reluctance and wound-field) and induction types. Electric machines are normally designed for a single operating point, usually at rated torque and speed. The results are expected to improve machine design to give the best performance in typical driving conditions.Read moreRead less
Advanced Future Automotive Electrical Machines based on Amorphous Iron. Electric machines consume about 70% of all electrical energy generated. Electric machines constructed from a promising magnetic material called amorphous iron can be much more efficient than conventional designs, hence saving energy. Amorphous iron is normally difficult to cut accurately into the shapes required in electric machines. We propose to design and construct high-efficiency permanent magnet machines based on amorp ....Advanced Future Automotive Electrical Machines based on Amorphous Iron. Electric machines consume about 70% of all electrical energy generated. Electric machines constructed from a promising magnetic material called amorphous iron can be much more efficient than conventional designs, hence saving energy. Amorphous iron is normally difficult to cut accurately into the shapes required in electric machines. We propose to design and construct high-efficiency permanent magnet machines based on amorphous iron for automotive applications, which will be cut using an innovative Australian waterjet cutting technique. The key challenges are to optimise the machine design for commercial production given the capabilities and limitations of the material and the new cutting process.Read moreRead less
When stabilization and optimization meet: a codesign approach. The next generation of engineered systems need to perform complex tasks with precision, and be robust, resilient and adaptive to their environment enabled by the confluence of control, optimization, learning and computation Understanding the interplay between robust stability and optimization is key to this endeavor. Many techniques, such as model predictive control and reinforcement learning, rely on an intricate interplay between ....When stabilization and optimization meet: a codesign approach. The next generation of engineered systems need to perform complex tasks with precision, and be robust, resilient and adaptive to their environment enabled by the confluence of control, optimization, learning and computation Understanding the interplay between robust stability and optimization is key to this endeavor. Many techniques, such as model predictive control and reinforcement learning, rely on an intricate interplay between an optimization-based control algorithm and an optimization routine used to calculate the control law. This project aims to develop a general design framework for stability, suboptimality and robustness of such algorithms, that can be used in range of novel applications, such as driverless cars and drones. Read moreRead less
Strategies for mid-air collision avoidance in aircraft: lessons from bird flight. Birds seldom collide with each other and other objects, despite the high speeds at which they fly in complex environments. This project will examine how birds sense and avoid impending collisions, and will use these results to design novel strategies for the detection and avoidance of aircraft mid-air collisions.
Bio-inspired Sniffer chips. This project will combine recent advances in neuroscience of olfaction, together with novel microelectronic fabrication technologies, to develop a miniature electronic nose microsystem with superior selectivity, stability, sensitivity and response time. Applications include national security, environment monitoring or medical diagnosis.