Robust estimation and control of uncertain affine nonlinear systems using predictive sliding mode control and sliding mode observer

Khadidja Saoudi, Khansa Bdirina and Kamel Guesmi

International Journal of Systems Science, 2024, vol. 55, issue 7, 1480-1492

Abstract: This paper proposes an enhanced and robust tracking control method for the class of uncertain and disturbed affine nonlinear systems. The approach is based on predictive sliding mode control (PSMC) to combine the advantages of sliding mode control (SMC) with those of model predictive control (MPC). The resulting controller offers numerous benefits, including high robustness, quick transient response, finite-time convergence, and robustness against uncertainties and external disturbances. However, a significant limitation of the proposed PSMC is its reliance on prior knowledge of the disturbance and uncertainty bounds. To address this drawback, a sliding mode observer (SMO) is synthesised to identify uncertainties and disturbances. The proposed controller successfully eliminates the chattering effect without compromising robustness and precision. The Lyapunov theory is used to prove the stability of the closed-loop system. The effectiveness of the proposed approach is validated through simulations on a well-known benchmark.

Date: 2024
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DOI: 10.1080/00207721.2024.2306193

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