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Simulation Analysis of Two Control Methods for a Single Inverted Pendulum

Xixi Yang

Open publisher page 2 citations

Abstract

The Newton mechanics is used to drive the dynamic equation, and the state space equations are obtained through linear method for a multivariable, nonlinear and strongly-coupling inverted pendulum. The two control methods which are LQR and fuzzy control are used in the single inverted pendulum. Through simulation in MATLAB, the two methods are compared carefully. The results play an important role in the learning in this respect.

About this research paper

What this paper is about

The Newton mechanics is used to drive the dynamic equation, and the state space equations are obtained through linear method for a multivariable, nonlinear and strongly-coupling inverted pendulum. The two control methods which are LQR and fuzzy control are used in the single inverted pendulum. Through simulation in MATLAB, the two methods are compared carefully. The results play an important role in the learning in this respect.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The Newton mechanics is used to drive the dynamic equation, and the state space equations are obtained through linear method for a multivariable, nonlinear and strongly-coupling inverted pendulum. The two control methods which are LQR and fuzzy control are used in the single inverted pendulum. Through simulation in MATLAB, the two methods are compared carefully. The results play an important role in the learning in this respect.

Key concepts: Inverted pendulum, Computer science, MATLAB, Control theory (sociology), Double inverted pendulum, Nonlinear system, Multivariable calculus, State space

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