Industrial Transformation Training Centres - Grant ID: IC190100017
Funder
Australian Research Council
Funding Amount
$3,703,664.00
Summary
ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource ....ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource attributes, maximising value ‘on the fly’. Benefits will include increasing certainty on product quality and maximising throughput and recovery. Outcomes will include new tools to rapidly model geological and geometallurgical uncertainty with sensor inputs, to track the resource to product and enhance interpretation.Read moreRead less
Automatic speech-based assessment of mental state via mobile device. This project aims to create the first mobile, device-based automatic assessment of mental state from acoustic speech. Focusing on novel approaches for eliciting speech, for regression-based scoring of mental state and for longitudinal modelling of speech, the project takes speech processing out of the laboratory and into realistic environments. The project is significant because elicitation approach and longitudinal modelling h ....Automatic speech-based assessment of mental state via mobile device. This project aims to create the first mobile, device-based automatic assessment of mental state from acoustic speech. Focusing on novel approaches for eliciting speech, for regression-based scoring of mental state and for longitudinal modelling of speech, the project takes speech processing out of the laboratory and into realistic environments. The project is significant because elicitation approach and longitudinal modelling have been acknowledged by the research community as challenges that are valuable to investigate, and because conventional regression methods are sub-optimal on ordinal mental state scales. This is significant commercially because mobile devices allow individually tailored, frequent and low-cost mental state assessment. Expected outcomes will include commercial-ready technology, trialled on Australians, accessible to everyone with a mobile device and concentration of Australian research and development capability in a rapidly growing application area.Read moreRead less
Robust learning of dynamic systems. Robots and other autonomous machines use models of the real world to predict the result of their actions and make decisions, but existing methods used for machine-learning are unreliable in many cases and can be easily fooled. This project aims to make machine-learning of dynamic system models reliable, accurate, and secure. The outcomes of this project will be new models and algorithms that ensure safety and increase accuracy of models learned from data. This ....Robust learning of dynamic systems. Robots and other autonomous machines use models of the real world to predict the result of their actions and make decisions, but existing methods used for machine-learning are unreliable in many cases and can be easily fooled. This project aims to make machine-learning of dynamic system models reliable, accurate, and secure. The outcomes of this project will be new models and algorithms that ensure safety and increase accuracy of models learned from data. This project will benefit robotics, control engineering, infrastructure automation, and other fields that demand the capability to model physical systems from limited data. It will also improve cybersecurity by making learning algorithms resilient to deliberate attacks with false data.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101277
Funder
Australian Research Council
Funding Amount
$427,600.00
Summary
Temporal-Spatial Data Analytics for Stochastic Power System Stability. The modern power system is evolving towards a renewable-energy dominated, digitalized "data-intensive" system, where enormous data are measured in multiple timescales, different locations, and in diverse structures. This project will develop a novel data-driven framework for power system stability analysis. This project will deliver new knowledge about instability phenomena and mechanism of power systems with high-level renew ....Temporal-Spatial Data Analytics for Stochastic Power System Stability. The modern power system is evolving towards a renewable-energy dominated, digitalized "data-intensive" system, where enormous data are measured in multiple timescales, different locations, and in diverse structures. This project will develop a novel data-driven framework for power system stability analysis. This project will deliver new knowledge about instability phenomena and mechanism of power systems with high-level renewable energies, faster-than-real-time system instability risk detection, and rule-based stability control. These research outcomes will form the basis of an innovative theoretical foundation to guide new technologies for power utilities for stability assessment and enhancement in the digitalized era.Read moreRead less
A Segmented Interior Permanent Magnet Synchronous Motor for Wide Field Weakening Range and its Sensorless Control using Improved Flux Estimators. Australia has the world's second largest reserve (after China) of high energy-density permanent magnet (neodymium-iron-boron) material for the IPM motor. The present limitation of the machine to be driven sensorless over a wide speed range with field weakening is believed to be holding back its widespread use in applications other than servo-type which ....A Segmented Interior Permanent Magnet Synchronous Motor for Wide Field Weakening Range and its Sensorless Control using Improved Flux Estimators. Australia has the world's second largest reserve (after China) of high energy-density permanent magnet (neodymium-iron-boron) material for the IPM motor. The present limitation of the machine to be driven sensorless over a wide speed range with field weakening is believed to be holding back its widespread use in applications other than servo-type which requires high-resolution mechanical sensors. Extension of the motor speed range by a combination of magnetic system design (for large field weakening range), and sensorless position and flux estimation with sufficient accuracy for fast dynamic control should lead to large scale adoption of this motor, and hence to significant improvement in energy efficiency and market share for Australia.Read moreRead less
Improvements of Direct Torque Controllers for the Interior Permanent Magnet Synchronous Motor. The Direct Torque Control (DTC) strategy has recently been applied successfully to the interior permanent magnet (IPM) motor which offers the highest torque/volume and efficiency of all known machines. Exploitation of the recently developed Neodynium-Iron-Boron material, of which Australia is the world's second largest producer, in the IPM motor and of new sensorless control strategies such as the DTC ....Improvements of Direct Torque Controllers for the Interior Permanent Magnet Synchronous Motor. The Direct Torque Control (DTC) strategy has recently been applied successfully to the interior permanent magnet (IPM) motor which offers the highest torque/volume and efficiency of all known machines. Exploitation of the recently developed Neodynium-Iron-Boron material, of which Australia is the world's second largest producer, in the IPM motor and of new sensorless control strategies such as the DTC controller, promises to open vast application potentials, such as in the upcoming hybrid and totally electric automobiles, for these motors. The new DTC controller developed at UNSW shows high promise for delivering a high-performance, sensorless IPM motor drive. This project aims to investigate, and overcome, the remaining problems of this technique.Read moreRead less
Advanced fault tolerant drives for safety critical applications. The key aim of this project is to develop an electrical drive system with enhanced tolerance to system faults. The research is significant as it aims to satisfy the demands of emerging high-reliability applications for electric drive systems utilising a patented concentrated-wound permanent magnet machine. Applications for the research include the automotive, aerospace and resource sectors which are global growth sectors. A new hig ....Advanced fault tolerant drives for safety critical applications. The key aim of this project is to develop an electrical drive system with enhanced tolerance to system faults. The research is significant as it aims to satisfy the demands of emerging high-reliability applications for electric drive systems utilising a patented concentrated-wound permanent magnet machine. Applications for the research include the automotive, aerospace and resource sectors which are global growth sectors. A new high-quality model of the machine is expected to be realised. This new model is proposed to then inform the development of suitable control techniques for the machine driven by fault-tolerant inverter topologies. The research is then planned to be demonstrated on prototype research machines and the system performance compared with existing state-of-the-art technology.Read moreRead less
Optimum rotor and concentrated stator-winding structures for improving the torque, field-weakening and power-density characteristics of interior permanent-magnet machines. The successful completion of this project will deliver one of the most energy efficient and compact motor which will meet the expectations of future electric and hybrid electric vehicles. The current generation of surface Permanent Magnet (PM) and Interior Permanent Magnet (IPM) motors are not optimized in terms of compactness ....Optimum rotor and concentrated stator-winding structures for improving the torque, field-weakening and power-density characteristics of interior permanent-magnet machines. The successful completion of this project will deliver one of the most energy efficient and compact motor which will meet the expectations of future electric and hybrid electric vehicles. The current generation of surface Permanent Magnet (PM) and Interior Permanent Magnet (IPM) motors are not optimized in terms of compactness, energy-density and efficiency, and torque characteristics. Australia has the world's second largest reserve of the magnet material for IPM machines. It also has a significant niche industry for specialized machine design. These twin advantages should offer Australia huge potential benefits in the world market for electric and hybrid electric vehicles and for substantial reduction in our dependence on importing petrol and greenhouse gas emissions.Read moreRead less
A new spectrum access technology for future wireless terminals. This project will develop a new frequency flexible wireless transceiver structure for the next generation of smartphones and wireless devices. The project will improve the roaming experience of travellers and reduce the cost of wireless connectivity, enabling new applications such as machine-to-machine communications and the internet-of-things.
Rapid Recovery from Radiation-induced Errors in Reconfigurable Hardware. This project aims to develop new methods for implementing satellite-based digital systems using reconfigurable hardware devices. The results aim to extend knowledge on the design of fault-tolerant systems and enable the use of off-the-shelf digital hardware in the implementation of satellite systems. The project aims to develop essential tools to assist in implementing fault-tolerant reconfigurable systems. These tools will ....Rapid Recovery from Radiation-induced Errors in Reconfigurable Hardware. This project aims to develop new methods for implementing satellite-based digital systems using reconfigurable hardware devices. The results aim to extend knowledge on the design of fault-tolerant systems and enable the use of off-the-shelf digital hardware in the implementation of satellite systems. The project aims to develop essential tools to assist in implementing fault-tolerant reconfigurable systems. These tools will be founded on the discovery of techniques needed for modifying a design into a form amenable to error recovery and for implementing the design in hardware. During the course of the project, these techniques will be demonstrated and tested in-orbit on the international QB50 CubeSat program.Read moreRead less