PWM fuzzy controller for nonlinear systems

  • Authors:
  • Young Hoon Joo;Sung Ho Kim;Kwang Baek Kim

  • Affiliations:
  • Kunsan National University, Kunsan, Chonbuk, Korea;Kunsan National University, Kunsan, Chonbuk, Korea;Dept. of Computer Engineering, Silla University, Busan, Korea

  • Venue:
  • FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
  • Year:
  • 2006

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Abstract

In this paper, we develop an intelligent digitally redesigned PAM fuzzy controller for nonlinear systems. Takagi-Sugeno fuzzy model is used to model the nonlinear systems and a continuous-time fuzzy-model-based controller is designed based on extended parallel-distributed-compensation method. The digital controllers are determined from existing analogue controllers. The proposed method provides an accurate and effective method for digital control of continuous-time nonlinear systems and enables us to efficiently implement a digital controller via pre-determined continuous-time TS fuzzy-model-based controller. We have applied the proposed method to the balancing problem of the inverted pendulum to show the effectiveness and feasibility of the method.