Smooth speed control of permanent magnet servo systems using artificial neural network
The project aims to develop a high-performance speed controller for servo systems. In servo applications, the development of high-performance speed controller has been accelerated. The speed controller has to offer high precision, good tracking performance, nice disturbance rejection property, and s...
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Nanyang Technological University
2023
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sg-ntu-dr.10356-1723742023-12-08T15:43:28Z Smooth speed control of permanent magnet servo systems using artificial neural network Wang, Shuoyuan Christopher H. T. Lee School of Electrical and Electronic Engineering chtlee@ntu.edu.sg Engineering::Electrical and electronic engineering The project aims to develop a high-performance speed controller for servo systems. In servo applications, the development of high-performance speed controller has been accelerated. The speed controller has to offer high precision, good tracking performance, nice disturbance rejection property, and strong robustness to parameter variations. As a model-free control method, artificial neural network (ANN) based control can enhance the anti-disturbance rejection ability and has a strong robustness to parameter variations. This project allows student to develop an ANN based high-performance speed controller from design, analysis, simulation and evaluation. Exceptional design can be made as experimental prototype for concept verification. Master of Science (Power Engineering) 2023-12-07T06:18:14Z 2023-12-07T06:18:14Z 2023 Thesis-Master by Coursework Wang, S. (2023). Smooth speed control of permanent magnet servo systems using artificial neural network. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/172374 https://hdl.handle.net/10356/172374 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Wang, Shuoyuan Smooth speed control of permanent magnet servo systems using artificial neural network |
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The project aims to develop a high-performance speed controller for servo systems. In servo applications, the development of high-performance speed controller has been accelerated. The speed controller has to offer high precision, good tracking performance, nice disturbance rejection property, and strong robustness to parameter variations. As a model-free control method, artificial neural network (ANN) based control can enhance the anti-disturbance rejection ability and has a strong robustness to parameter variations. This project allows student to develop an ANN based high-performance speed controller from design, analysis, simulation and evaluation. Exceptional design can be made as experimental prototype for concept verification. |
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Christopher H. T. Lee |
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Christopher H. T. Lee Wang, Shuoyuan |
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Thesis-Master by Coursework |
author |
Wang, Shuoyuan |
author_sort |
Wang, Shuoyuan |
title |
Smooth speed control of permanent magnet servo systems using artificial neural network |
title_short |
Smooth speed control of permanent magnet servo systems using artificial neural network |
title_full |
Smooth speed control of permanent magnet servo systems using artificial neural network |
title_fullStr |
Smooth speed control of permanent magnet servo systems using artificial neural network |
title_full_unstemmed |
Smooth speed control of permanent magnet servo systems using artificial neural network |
title_sort |
smooth speed control of permanent magnet servo systems using artificial neural network |
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Nanyang Technological University |
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2023 |
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https://hdl.handle.net/10356/172374 |
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1784855565771472896 |