Intelligent digital redesign of t-s fuzzy controller via particle swarm optimization

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

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

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 as 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
頁(從 - 到)193-205
頁數13
期刊International Journal of Computational Intelligence in Control
12
發行號2
出版狀態已發佈 - 2020 七月 1

ASJC Scopus subject areas

  • 生物技術
  • 計算力學
  • 電腦科學應用
  • 資訊系統與管理
  • 人工智慧

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