Fuzzy Tracker with Self-Tuning PID and Identifier Design Using Conditional-LMI and Improved Random Optimal Algorithm(Systems and Control)

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概要

• 論文の詳細を見る

• This study introduces the fuzzy Lyapunov function to the fuzzy PID control systems, modified fuzzy systems, with an optimized robust tracking performance. We propose a compound search strategy called conditional linear matrix inequality (CLMI) approach which was composed of the proposed improved random optimal algorithm (IROA) concatenated with the simplex method to solve the linear matrix inequality (LMI) problem. If solutions of a specific system exist, the scheme finds more than one solutions at a time, and these fixed potential solutions and variable PID gains are ready for tracking performance optimization. The effectiveness of the proposed control scheme is demonstrated by the numerical example of a cart-pole system.

• 社団法人電子情報通信学会の論文
• 2007-10-01

著者

• Tsai Zhi-ren

  Graduate Institute Of Electrical Engineering Chang Gung University

• HWANG Jiing-Dong

  Department of Electronic Engineering, Jinwen University of Science and Technology

• CHANG Yau-Zen

  Department of Mechanical Engineering, Chang Gung University

• Chang Yau-zen

  Department Of Mechanical Engineering Chang Gung University

• Hwang Jiing‐dong

  Jinwen Univ. Of Sci. And Technol. Taipei County Twn

• Hwang Jiing-dong

  Department Of Electronic Engineering Jinwen University Of Science And Technology

関連論文

• Fuzzy Tracker with Self-Tuning PID and Identifier Design Using Conditional-LMI and Improved Random Optimal Algorithm(Systems and Control)
• Adaptive Tracker Design with Identifier for Pendulum System by Conditional LMI Method and IROA

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