PSO-based intelligent digital redesign of T-S fuzzy controller

Chen Chien Hsu*, Shu Han Chu, Yi Hsing Chien

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

In this paper, a novel method is proposed to solve the complex mathematical model of digital redesign of nonlinear systems which is regarded difficult to approximate. The paper uses the T-S fuzzy model and particle swarm optimization (PSO) to search for the range of digital-controller parameters and to obtain the optimized digital controller using this algorithm. Due to the difficulty in establishing the discrete model of the interval system and designing the digital controller of the interval system, we have formulated the design problem into an optimization problem of a cost function. First, we process the continuous-time nonlinear systems using the T-S fuzzy model, followed by designing a continuous-time controller using individual rules. The next step is to express all possible linear systems as interval systems and search for the range of digital-controller parameters using PSO to narrow down the search range and conveniently search for the optimal solutions. According to the search range of digital controller parameters, the PSO is used to search for the discrete-time controller based on individual rules, so that the states of the discrete-time model based on the fuzzy model approximate to those of the continuous-time nonlinear systems. Finally, one example is given to prove this method is more accurate than the existing one with faster execution speed.

原文英語
主出版物標題Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
頁面92-95
頁數4
DOIs
出版狀態已發佈 - 2011 八月 24
事件2011 International Conference on System Science and Engineering, ICSSE 2011 - Macao, 中国
持續時間: 2011 六月 82011 六月 10

出版系列

名字Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011

其他

其他2011 International Conference on System Science and Engineering, ICSSE 2011
國家/地區中国
城市Macao
期間2011/06/082011/06/10

ASJC Scopus subject areas

  • 控制與系統工程

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