The PID Fuzzy Gain Scheduling Controller Design Based on Particle Swarm Optimization Method

碩士 === 國立高雄海洋科技大學 === 輪機工程研究所 === 95 === In this paper, a modified fuzzy gain scheduling PID controller via particle swarm optimization (PSO) method is investigated. Unlike traditional try and error method or other tuning methods, some important tunable variables of proposed controller are determin...

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Main Authors:	Jia-Hao Hsu, 許家豪
Other Authors:	Ker-Wei Yu
Format:	Others
Language:	zh-TW
Published:	2006
Online Access:	http://ndltd.ncl.edu.tw/handle/29269909191484485001

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spelling	ndltd-TW-095NKIM84840042015-11-30T04:02:16Z http://ndltd.ncl.edu.tw/handle/29269909191484485001 The PID Fuzzy Gain Scheduling Controller Design Based on Particle Swarm Optimization Method 基於粒子群聚最佳化之模糊PID增益控制器設計 Jia-Hao Hsu 許家豪碩士國立高雄海洋科技大學輪機工程研究所 95 In this paper, a modified fuzzy gain scheduling PID controller via particle swarm optimization (PSO) method is investigated. Unlike traditional try and error method or other tuning methods, some important tunable variables of proposed controller are determined by PSO method, i.e., the boundary and slope of membership functions. The gain margin and oscillation frequency determined by traditional Ziegler-Nichols method are modified by proposed PSO method in the same time to improve the controlled system performance. Several ship handling examples are provided, namely, course keeping and course changing, to demonstrate the advantages of the proposed method. Ker-Wei Yu 俞克維 2006 學位論文 ; thesis 54 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立高雄海洋科技大學 === 輪機工程研究所 === 95 === In this paper, a modified fuzzy gain scheduling PID controller via particle swarm optimization (PSO) method is investigated. Unlike traditional try and error method or other tuning methods, some important tunable variables of proposed controller are determined by PSO method, i.e., the boundary and slope of membership functions. The gain margin and oscillation frequency determined by traditional Ziegler-Nichols method are modified by proposed PSO method in the same time to improve the controlled system performance. Several ship handling examples are provided, namely, course keeping and course changing, to demonstrate the advantages of the proposed method.
author2	Ker-Wei Yu
author_facet	Ker-Wei Yu Jia-Hao Hsu 許家豪
author	Jia-Hao Hsu 許家豪
spellingShingle	Jia-Hao Hsu 許家豪 The PID Fuzzy Gain Scheduling Controller Design Based on Particle Swarm Optimization Method
author_sort	Jia-Hao Hsu
title	The PID Fuzzy Gain Scheduling Controller Design Based on Particle Swarm Optimization Method
title_short	The PID Fuzzy Gain Scheduling Controller Design Based on Particle Swarm Optimization Method
title_full	The PID Fuzzy Gain Scheduling Controller Design Based on Particle Swarm Optimization Method
title_fullStr	The PID Fuzzy Gain Scheduling Controller Design Based on Particle Swarm Optimization Method
title_full_unstemmed	The PID Fuzzy Gain Scheduling Controller Design Based on Particle Swarm Optimization Method
title_sort	pid fuzzy gain scheduling controller design based on particle swarm optimization method
publishDate	2006
url	http://ndltd.ncl.edu.tw/handle/29269909191484485001
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The PID Fuzzy Gain Scheduling Controller Design Based on Particle Swarm Optimization Method

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