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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Bibliographic Details
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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Summary: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.