An electrical pump running on active magnetic bearings (AMBs) is described. To overcome the difficulty of obtaining an accurate model of the system, the control system is designed on-line. An optimiser modifies contro...
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An electrical pump running on active magnetic bearings (AMBs) is described. To overcome the difficulty of obtaining an accurate model of the system, the control system is designed on-line. An optimiser modifies controller parameters running on the controller (a digital signal processor) in real time and the resulting sensor data is recorded and processed. On-line optimisation of the controller is achieved from within a commercial CACSD software package using H-2 and H-infinity measures of tracking as design objectives. A multiobjective genetic algorithm is used to drive the optimisation for the AMB system. The resulting controller is compared with that of a manually tuned controller and significant improvements in performance and robustness are observed. (C) 2001 Elsevier Science Ltd. AII rights reserved.
A Rolls-Royce electrical pump running on active magnetic bearings (AMBs) is described. This rig is controlled by a digital signal processor connected by a custom interface to MATLAB/Simulink hosted by a PC. The PC is ...
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ISBN:
(纸本)085296708X
A Rolls-Royce electrical pump running on active magnetic bearings (AMBs) is described. This rig is controlled by a digital signal processor connected by a custom interface to MATLAB/Simulink hosted by a PC. The PC is able to alter the controller parameters running on the DSP in real time and log sensor data. This interface is used to define an on-line controller optimisation problem in MATLAB with H-infinity and H-2 measures of tracking as design objectives. A multiobjective genetic algorithm is used to drive the optimisation for the AMB system. The performance of an optimised controller is compared to that of a manually tuned controller and significant improvements in robustness are observed.
This paper describes the development of a hardware platform designed to support the teaching of a variety of systems engineering concepts to students at all stages of the curriculum. The hardware is sufficiently low-c...
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This paper describes the development of a hardware platform designed to support the teaching of a variety of systems engineering concepts to students at all stages of the curriculum. The hardware is sufficiently low-cost, portable and robust to provide individuals with a ‘take-home lab', thus enabling the student to benefit from experiential based learning in a more flexible fashion than is otherwise provided by traditional laboratory classes. The hardware consists of a miniature three degree-of-freedom helicopter, connected to a PC via a National Instruments myDAQ data acquisition unit, and is housed within a small toolbox for transportation. Initial student feedback is presented, based upon the inaugural use of the hardware in a new MSc module that was run in the Spring Semester of 2013.
A prototype large electrical machine running on active magnetic bearings is described. This rig is controlled by a digital signal processor connected by a custom interface to MATLAB/Simulink hosted by a PC. The on-lin...
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A prototype large electrical machine running on active magnetic bearings is described. This rig is controlled by a digital signal processor connected by a custom interface to MATLAB/Simulink hosted by a PC. The on-line tuning of a PID controller is set up as an optimisation problem from MATLAB and a multiobjective genetic algorithm is used to drive the optimisation. The results of an optimisation are presented and analysed.
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