An integrated controller for stabilizing an inverted pendulum: LQR and Fuzzy Logic Control with Observer-Based State Estimation

This paper addresses the challenging control problem of stabilizing an inverted pendulum on a cart. The inherent nonlinearity, instability, and under actuation of the system pose significant difficulties in achieving simultaneous pendulum stabilization and cart movement. To overcome these challenges...

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Bibliographic Details
Published inJournal of Applied Science and Engineering Vol. 27; no. 5; pp. 2423 - 2432
Main Authors Thi-Van-Anh Nguyen, Ngoc-Hiep Tran
Format Journal Article
LanguageEnglish
Published Tamkang University Press 01.02.2024
Subjects
extended state observer
fuzzy logic control
high-order integral-chain differentiator
inverted pendulum
linear quadratic regulator
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Summary:This paper addresses the challenging control problem of stabilizing an inverted pendulum on a cart. The inherent nonlinearity, instability, and under actuation of the system pose significant difficulties in achieving simultaneous pendulum stabilization and cart movement. To overcome these challenges, we propose an integrated approach that combines Linear Quadratic Regulator (LQR) and fuzzy logic control methods. This integrated control strategy effectively stabilizes the pendulum and controls the cart’s position. Notably, the integrated control outperforms the LQR control in terms of convergence speed. Furthermore, we explore the use of observers for state estimation, specifically the high-order integral-chain differentiator and the extended state observer, to accurately estimate pendulum angular velocity. Simulation results, along with detailed discussions, are presented to validate the accuracy and effectiveness of the proposed control methods and observers.
ISSN:2708-9967
2708-9975
DOI:10.6180/jase.202405_27(05).0006