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Disturbance Rejection for Stewart Platform Based on Integration of Equivalent-Input- Disturbance and Sliding-Mode Control Methods

Yujian Zhou, Jinhua She, Feng Wang, Makoto Iwasaki

2023IEEE/ASME Transactions on Mechatronics58 citationsDOI

Abstract

This study integrated an improved equivalent-input-disturbance (IEID) and a sliding-mode control (SMC) methods to ensure reference tracking and enhance disturbance-rejection performance for a Stewart platform. The internal principle ensures steady-state tracking of the system. A sliding-mode controller enhances the disturbance-rejection performance and tracking accuracy. The effects of the external disturbances are regarded as an overall disturbance. Then, a state observer and an IEID estimator estimate and compensate for the overall disturbance. The chattering phenomenon when implementing the SMC method is reduced because a small sliding-mode gain ensures the tracking precision in this control method. A stability condition of the closed-loop system is analyzed based on the Lyapunov stability theory. Gains of the IEID estimator and the state observer are designed by a linear matrix inequality that ensures the stability of the system. This method has been verified on an actual Stewart platform. Experimental results show that our method has better disturbance-rejection performance than an SMC method and an IEID method under external disturbances.

Topics & Concepts

Control theory (sociology)Disturbance (geology)Tracking (education)Controller (irrigation)EstimatorState observerSliding mode controlLyapunov stabilityActive disturbance rejection controlStability (learning theory)Observer (physics)EngineeringComputer scienceMathematicsControl (management)Nonlinear systemArtificial intelligencePhysicsBiologyQuantum mechanicsPedagogyAgronomyPaleontologyMachine learningStatisticsPsychologyAdaptive Control of Nonlinear SystemsIterative Learning Control SystemsControl Systems in Engineering
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