Abstract
In this paper, a sliding mode control SMC system with a proportional integral derivative PID sliding surface is presented. The main contribution in this work is to determine the optimal values of the PID sliding surface parameters using biologically-inspired algorithm, namely Ant lion optimization (ALO). This technique guarantee a robust sliding mode controller insensitive to uncertainty conditions, nonlinear dynamics, external disturbances and allowing the system to reach maximum switching and minimum chattering. The proposed system stability during reaching phase and sliding phase is mathematically confirmed by Lyapunov theorem. Simulation results of ALO tuning of PID sliding surface proved better tracking performance of the desired trajectory compared to conventional SMC.
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Mokeddem, D., Draidi, H. (2019). Optimization of PID Sliding Surface Using Ant Lion Optimizer. In: Chikhi, S., Amine, A., Chaoui, A., Saidouni, D.E. (eds) Modelling and Implementation of Complex Systems. MISC 2018. Lecture Notes in Networks and Systems, vol 64. Springer, Cham. https://doi.org/10.1007/978-3-030-05481-6_10
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DOI: https://doi.org/10.1007/978-3-030-05481-6_10
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