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New methodologies for adaptive sliding mode control

2010/07/21 by Franck Plestan, F. Plestan, Y. Shtessel +5 · 10 citations
Engineering · #Adaptive Control of Nonlinear Systems #Control Systems in Engineering #Iterative Learning Control Systems

paper · doi:10.1080/00207179.2010.501385

Abstract

This article proposes new methodologies for the design of adaptive sliding mode control. The goal is to obtain a robust sliding mode adaptive-gain control law with respect to uncertainties and perturbations without the knowledge of uncertainties/perturbations bound (only the boundness feature is known). The proposed approaches consist in having a dynamical adaptive control gain that establishes a sliding mode in finite time. Gain dynamics also ensures that there is no overestimation of the gain with respect to the real a priori unknown value of uncertainties. The efficacy of both proposed algorithms is confirmed on a tutorial example and while controlling an electropneumatic actuator.

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