2010•Journal of Anhui University of Technology and ScienceRequires access

Application of fuzzy control in the double inverted pendulum system

Jin Chen

Open publisher page 3 citations

Abstract

The paper focuses on multivariable、nonlinear and strongly-coupling the double inverted pendulum system of stability control problem.Firstly,in order to solve the fuzzy rule number's explosion in multi-variable system,the method of fuzzy control with fusion function was proposed,based on optimization control theory and fuzzy control theory.The dimensions of input varieties of a fuzzy controller were reduced by designing a fusion function using the LQR theory,and the parameters of fuzzy controller were optimized and adjusted.Second,the simulation results showed that the method was effective.Lastly,the design was tested by the GLIP2003 inverted pendulum system of Googol Technology Ltd,and it's performance was satisfying.

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What this paper is about

The paper focuses on multivariable、nonlinear and strongly-coupling the double inverted pendulum system of stability control problem.Firstly,in order to solve the fuzzy rule number's explosion in multi-variable system,the method of fuzzy control with fusion function was proposed,based on optimization control theory and fuzzy control theory.The dimensions of input varieties of a fuzzy controller were reduced by designing a fusion function using the LQR theory,and the parameters of fuzzy controller were optimized and adjusted.Second,the simulation results showed that the method was effective.Lastly,the design was tested by the GLIP2003 inverted pendulum system of Googol Technology Ltd,and it's performance was satisfying.

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Available abstract

The paper focuses on multivariable、nonlinear and strongly-coupling the double inverted pendulum system of stability control problem.Firstly,in order to solve the fuzzy rule number's explosion in multi-variable system,the method of fuzzy control with fusion function was proposed,based on optimization control theory and fuzzy control theory.The dimensions of input varieties of a fuzzy controller were reduced by designing a fusion function using the LQR theory,and the parameters of fuzzy controller were optimized and adjusted.Second,the simulation results showed that the method was effective.Lastly,the design was tested by the GLIP2003 inverted pendulum system of Googol Technology Ltd,and it's performance was satisfying.

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

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