Discovery Early Career Researcher Award - Grant ID: DE200101128
Funder
Australian Research Council
Funding Amount
$399,235.00
Summary
Control and filtering of distributed systems with communication-scheduling. This project aims to develop an analysis and design framework to enhance the reliability of the next-generation advanced manufacturing systems with security vulnerability and communication scheduling. Reliable control and filtering of distributed systems is an emerging area of automation and control engineering in the tide of the 4th industrial revolution. Expected outcomes of this project include obtaining analysis crit ....Control and filtering of distributed systems with communication-scheduling. This project aims to develop an analysis and design framework to enhance the reliability of the next-generation advanced manufacturing systems with security vulnerability and communication scheduling. Reliable control and filtering of distributed systems is an emerging area of automation and control engineering in the tide of the 4th industrial revolution. Expected outcomes of this project include obtaining analysis criteria uncovering the effect from communication scheduling and cyber-attacks, and developing a novel framework based on co-design perspective to realize the distributed system design, while being applied in the cooperative control of various robots or manipulators in unmanned factories.Read moreRead less
Task-centric Synthesis for Wearable Assistive Robots. Wearable Assistive Robots, designed to be worn on the human body, show tremendous potentials to provide what the wearer lacks in performing physically challenging tasks, such as seen in manufacturing, agricultural and healthcare industries. However, fundamental challenges still prevent the realisation of such benefits in the practical settings outside the laboratory. This project addresses these challenges by establishing (1) a systematic des ....Task-centric Synthesis for Wearable Assistive Robots. Wearable Assistive Robots, designed to be worn on the human body, show tremendous potentials to provide what the wearer lacks in performing physically challenging tasks, such as seen in manufacturing, agricultural and healthcare industries. However, fundamental challenges still prevent the realisation of such benefits in the practical settings outside the laboratory. This project addresses these challenges by establishing (1) a systematic design approach for wearable robots to achieve the intended task while optimising other relevant considerations, such as human factors and the practical bulk of the robot; and (2) a novel control and interaction strategy to accommodate the variations in realistic living and working environments.Read moreRead less
Repetitive control systems in networked environments. Repetitive control is used in many industry applications to track periodic references and reject periodic disturbances. The development of digital technology brings in more networked control systems, greatly improving distributed manufacturing, which creates new design challenges due to network-induced constraints such as delay, data packet dropouts and cyber-attacks. This project aims to provide new understanding of dynamic behaviours of rep ....Repetitive control systems in networked environments. Repetitive control is used in many industry applications to track periodic references and reject periodic disturbances. The development of digital technology brings in more networked control systems, greatly improving distributed manufacturing, which creates new design challenges due to network-induced constraints such as delay, data packet dropouts and cyber-attacks. This project aims to provide new understanding of dynamic behaviours of repetitive control systems in networked environments, and develop a new theory for the analysis and design of networked repetitive control, subject to network induced constraints. The new control systems should reduce the cost of automation systems and will significantly enhance their performance, allowing Australian industry to remain economically competitive.Read moreRead less
Surf sounds: predicting the valuable data of bubble sound emissions. This project aims to predict natural bubble sounds. These audio signals contain data on the bubble size, which controls oxygen absorption, and thus product quality, in minerals, food, pharmaceuticals and water industries. Bubbles also control ocean carbon-dioxide absorption. Such gas absorption is almost impossible to monitor with laboratory sensors. In the ocean, sensors are quickly blocked by algae. In industry, liquids are o ....Surf sounds: predicting the valuable data of bubble sound emissions. This project aims to predict natural bubble sounds. These audio signals contain data on the bubble size, which controls oxygen absorption, and thus product quality, in minerals, food, pharmaceuticals and water industries. Bubbles also control ocean carbon-dioxide absorption. Such gas absorption is almost impossible to monitor with laboratory sensors. In the ocean, sensors are quickly blocked by algae. In industry, liquids are opaque or too hot. However, the easily-measured sounds get through. Experiments and computer simulations would allow the sound volume as well as frequencies emitted by bubbles to be predicted. This would enable valuable data to be interpreted from complex sounds, transforming industrial and environmental measurements.Read moreRead less