Design of a Grey Decision Controller for Sensorless Induction Motor Vector Control System

碩士 === 國立臺北科技大學 === 電機工程系碩士班 === 89 === In this study, we propose a new controller — Grey Decision Controller (GDC) to improve the performance of conventional PI controller. The GDC is derived from grey decision theory, and is implemented in the speed sensorless vector-controlled system of induction...

Full description

Bibliographic Details
Main Authors: Chih-Hao Tsai, 蔡志浩
Other Authors: Shun-Yuan Wang
Format: Others
Language:zh-TW
Published: 2001
Online Access:http://ndltd.ncl.edu.tw/handle/76066470288243736612
id ndltd-TW-089TIT00442011
record_format oai_dc
spelling ndltd-TW-089TIT004420112015-10-13T12:10:00Z http://ndltd.ncl.edu.tw/handle/76066470288243736612 Design of a Grey Decision Controller for Sensorless Induction Motor Vector Control System 無轉軸量測器感應機向量驅動系統之灰色決策控制器設計 Chih-Hao Tsai 蔡志浩 碩士 國立臺北科技大學 電機工程系碩士班 89 In this study, we propose a new controller — Grey Decision Controller (GDC) to improve the performance of conventional PI controller. The GDC is derived from grey decision theory, and is implemented in the speed sensorless vector-controlled system of induction motor. The proposed controller follows the prescribed goal, and utilizes the effect weight and the best decision factor of the control situation to achieve the decision. Experiment results show that the dynamic performance and stability of the proposed controller is better than that of the traditional PI controllers. When system’s parameters or loading varies, the performance of the GDC is robust. With good adaptability, the GDC is strongly recommended for the controller in the speed sensorless vector—controlled system of induction motor. Keyword: grey decision theory, the best decision factor, effect weight, field vector control Shun-Yuan Wang 王順源 2001 學位論文 ; thesis 68 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺北科技大學 === 電機工程系碩士班 === 89 === In this study, we propose a new controller — Grey Decision Controller (GDC) to improve the performance of conventional PI controller. The GDC is derived from grey decision theory, and is implemented in the speed sensorless vector-controlled system of induction motor. The proposed controller follows the prescribed goal, and utilizes the effect weight and the best decision factor of the control situation to achieve the decision. Experiment results show that the dynamic performance and stability of the proposed controller is better than that of the traditional PI controllers. When system’s parameters or loading varies, the performance of the GDC is robust. With good adaptability, the GDC is strongly recommended for the controller in the speed sensorless vector—controlled system of induction motor. Keyword: grey decision theory, the best decision factor, effect weight, field vector control
author2 Shun-Yuan Wang
author_facet Shun-Yuan Wang
Chih-Hao Tsai
蔡志浩
author Chih-Hao Tsai
蔡志浩
spellingShingle Chih-Hao Tsai
蔡志浩
Design of a Grey Decision Controller for Sensorless Induction Motor Vector Control System
author_sort Chih-Hao Tsai
title Design of a Grey Decision Controller for Sensorless Induction Motor Vector Control System
title_short Design of a Grey Decision Controller for Sensorless Induction Motor Vector Control System
title_full Design of a Grey Decision Controller for Sensorless Induction Motor Vector Control System
title_fullStr Design of a Grey Decision Controller for Sensorless Induction Motor Vector Control System
title_full_unstemmed Design of a Grey Decision Controller for Sensorless Induction Motor Vector Control System
title_sort design of a grey decision controller for sensorless induction motor vector control system
publishDate 2001
url http://ndltd.ncl.edu.tw/handle/76066470288243736612
work_keys_str_mv AT chihhaotsai designofagreydecisioncontrollerforsensorlessinductionmotorvectorcontrolsystem
AT càizhìhào designofagreydecisioncontrollerforsensorlessinductionmotorvectorcontrolsystem
AT chihhaotsai wúzhuǎnzhóuliàngcèqìgǎnyīngjīxiàngliàngqūdòngxìtǒngzhīhuīsèjuécèkòngzhìqìshèjì
AT càizhìhào wúzhuǎnzhóuliàngcèqìgǎnyīngjīxiàngliàngqūdòngxìtǒngzhīhuīsèjuécèkòngzhìqìshèjì
_version_ 1716854531792306176