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Field of Research : Control Engineering
Australian State/Territory : SA
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  • Funded Activity

    Linkage Projects - Grant ID: LP0348045

    Funder
    Australian Research Council
    Funding Amount
    $69,099.00
    Summary
    Monitoring, Calibration and Control of a Micro Assembly Process with Machine Vision Systems. A machine vision system will be developed and applied to monitor, calibrate, and control a novel surgical product assembly process of microscale. The machine vision system will benchmark the volumetric information of the needles, calibrate the position of the components, and control the assembly procedures. The successful implementation of the system will assist the production of finer surgical product .... Monitoring, Calibration and Control of a Micro Assembly Process with Machine Vision Systems. A machine vision system will be developed and applied to monitor, calibrate, and control a novel surgical product assembly process of microscale. The machine vision system will benchmark the volumetric information of the needles, calibrate the position of the components, and control the assembly procedures. The successful implementation of the system will assist the production of finer surgical products.
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    Funded Activity

    Discovery Projects - Grant ID: DP0343396

    Funder
    Australian Research Council
    Funding Amount
    $242,000.00
    Summary
    Non-linear dynamics of magnetic bearing systems. The aim of this project is to gain a much deeper insight into the effects of non-linearities on the dynamic behavior and on the performance of active magnetic bearings(AMBs). This project will focus attention on stability analysis, bifurcation control, malfunction analysis, and nonlinear dynamic behavior. The expected outcomes are better understanding and prediction of nonlinear behavior and control of AMBs and improved guidelines for designing sa .... Non-linear dynamics of magnetic bearing systems. The aim of this project is to gain a much deeper insight into the effects of non-linearities on the dynamic behavior and on the performance of active magnetic bearings(AMBs). This project will focus attention on stability analysis, bifurcation control, malfunction analysis, and nonlinear dynamic behavior. The expected outcomes are better understanding and prediction of nonlinear behavior and control of AMBs and improved guidelines for designing safer and more effective AMBs.
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    Funded Activity

    Discovery Projects - Grant ID: DP0345579

    Funder
    Australian Research Council
    Funding Amount
    $342,000.00
    Summary
    Investigation of the audio spotlight for active noise control. The focus of this project is to investigate a new technology - the audio spotlight - with the aim of developing an active noise control (ANC) system that incorporates the audio spotlight as a control source. The audio spotlight offers the potential to overcome or significantly modify the fundamental physical constraints that limit the performance of ANC systems that use conventional loudspeakers as control sources. Just as audio spot .... Investigation of the audio spotlight for active noise control. The focus of this project is to investigate a new technology - the audio spotlight - with the aim of developing an active noise control (ANC) system that incorporates the audio spotlight as a control source. The audio spotlight offers the potential to overcome or significantly modify the fundamental physical constraints that limit the performance of ANC systems that use conventional loudspeakers as control sources. Just as audio spotlights may be the most radical technological development in acoustics since the invention of the coil loudspeaker, successful incorporation of an audio spotlight into an active noise control system will revolutionise active noise control.
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    Funded Activity

    Linkage Projects - Grant ID: LP0349318

    Funder
    Australian Research Council
    Funding Amount
    $92,132.00
    Summary
    Condition monitoring and process control of injection molding. Injection molding has been widely used in automotive industry and improvement of the productivity and quality of the products is very important for the injection molding production to be internationally competitive. The aim of this project is to develop a condition monitoring and process control system to monitor the key parameters of the injection molding processes, to optimise the design and process conditions, and consequently, to .... Condition monitoring and process control of injection molding. Injection molding has been widely used in automotive industry and improvement of the productivity and quality of the products is very important for the injection molding production to be internationally competitive. The aim of this project is to develop a condition monitoring and process control system to monitor the key parameters of the injection molding processes, to optimise the design and process conditions, and consequently, to more actively control the processes. This will lead to an more reliable process, improved productivity and production of higher quality of moldings.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455560

    Funder
    Australian Research Council
    Funding Amount
    $200,000.00
    Summary
    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.
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