2007•Unpublished venueRequires access

Study on Fuzzy Control of Inverted Pendulum System in the Simulink Environment

Hong Liu, Fengyang Duan, Ying Gao, Huadong Yu, Jinkai Xu

Open publisher page 9 citations

Abstract

Inverted pendulum system is a typical nonlinear and unstable controlled object. Therefore, how to control it effectively is a typical problem in the control theory. At first, the introduction of the operating principle of fuzzy control system is given. The method of fuzzy control is be applied in the single-inverted pendulum. It specifies the design of a fuzzy controller and the discussion is given to initiate a fuzzy rule governing the fuzzy control of single-inverted pendulum. The results of simulating experiments reveal that the fuzzy rules are correct and feasible.

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What this paper is about

Inverted pendulum system is a typical nonlinear and unstable controlled object. Therefore, how to control it effectively is a typical problem in the control theory. At first, the introduction of the operating principle of fuzzy control system is given. The method of fuzzy control is be applied in the single-inverted pendulum. It specifies the design of a fuzzy controller and the discussion is given to initiate a fuzzy rule governing the fuzzy control of single-inverted pendulum. The results of simulating experiments reveal that the fuzzy rules are correct and feasible.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Inverted pendulum system is a typical nonlinear and unstable controlled object. Therefore, how to control it effectively is a typical problem in the control theory. At first, the introduction of the operating principle of fuzzy control system is given. The method of fuzzy control is be applied in the single-inverted pendulum. It specifies the design of a fuzzy controller and the discussion is given to initiate a fuzzy rule governing the fuzzy control of single-inverted pendulum. The results of simulating experiments reveal that the fuzzy rules are correct and feasible.

Key concepts: Inverted pendulum, Control theory (sociology), Fuzzy control system, Fuzzy logic, Double inverted pendulum, Controller (irrigation), Nonlinear system, Computer science

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