Smooth speed control of electric motor drive based on neural network method

This project aims to regulate the speed of permanent magnet synchronous motor (PMSM) by using the Neural Network. PMSM has been increasingly employed these days. However, there are large amounts of disturbances and uncertainties existing in PMSM speed regulation system, such as parameters variation,...

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Main Author: Lim, Aloysius Jun Liang
Other Authors: Christopher H. T. Lee
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176962
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1769622024-05-24T15:44:19Z Smooth speed control of electric motor drive based on neural network method Lim, Aloysius Jun Liang Christopher H. T. Lee School of Electrical and Electronic Engineering chtlee@ntu.edu.sg Engineering This project aims to regulate the speed of permanent magnet synchronous motor (PMSM) by using the Neural Network. PMSM has been increasingly employed these days. However, there are large amounts of disturbances and uncertainties existing in PMSM speed regulation system, such as parameters variation, inverter nonlinearity, cogging torque and so on. Most of these factors may cause torque ripple, which is one of the most critical issues in PMSM system. This problem is expected to be solved by Neural Network because of its strong nonlinear fitting ability and self-learning ability. Hence, the disturbances can be obtained accurately and suppressed. This project allows student to develop an advanced electric motor control strategy from analysis, simulation, and evaluation. Bachelor's degree 2024-05-23T08:32:12Z 2024-05-23T08:32:12Z 2024 Final Year Project (FYP) Lim, A. J. L. (2024). Smooth speed control of electric motor drive based on neural network method. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176962 https://hdl.handle.net/10356/176962 en A1025-231 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
spellingShingle Engineering
Lim, Aloysius Jun Liang
Smooth speed control of electric motor drive based on neural network method
description This project aims to regulate the speed of permanent magnet synchronous motor (PMSM) by using the Neural Network. PMSM has been increasingly employed these days. However, there are large amounts of disturbances and uncertainties existing in PMSM speed regulation system, such as parameters variation, inverter nonlinearity, cogging torque and so on. Most of these factors may cause torque ripple, which is one of the most critical issues in PMSM system. This problem is expected to be solved by Neural Network because of its strong nonlinear fitting ability and self-learning ability. Hence, the disturbances can be obtained accurately and suppressed. This project allows student to develop an advanced electric motor control strategy from analysis, simulation, and evaluation.
author2 Christopher H. T. Lee
author_facet Christopher H. T. Lee
Lim, Aloysius Jun Liang
format Final Year Project
author Lim, Aloysius Jun Liang
author_sort Lim, Aloysius Jun Liang
title Smooth speed control of electric motor drive based on neural network method
title_short Smooth speed control of electric motor drive based on neural network method
title_full Smooth speed control of electric motor drive based on neural network method
title_fullStr Smooth speed control of electric motor drive based on neural network method
title_full_unstemmed Smooth speed control of electric motor drive based on neural network method
title_sort smooth speed control of electric motor drive based on neural network method
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176962
_version_ 1800916251801812992