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Optimization of PID Sliding Surface Using Ant Lion Optimizer

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Modelling and Implementation of Complex Systems (MISC 2018)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 64))

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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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Faculty of Technology, University of Ferhat Abbas Setif-1, Setif, Algeria

    Diab Mokeddem & Hakim Draidi

Authors
  1. Diab Mokeddem
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  2. Hakim Draidi
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Corresponding author

Correspondence to Diab Mokeddem .

Editor information

Editors and Affiliations

  1. Faculty of New Information and Communication Technologies, University of Constantine 2, Constantine, Algeria

    Salim Chikhi

  2. Faculty of Technology, GeCoDe Laboratory, University of Saida, Saida, Algeria

    Abdelmalek Amine

  3. Faculty of New Information and Communication Technologies, University of Constantine 2, Constantine, Algeria

    Allaoua Chaoui

  4. Faculty of New Information and Communication Technologies, University of Constantine 2, Constantine, Algeria

    Djamel Eddine Saidouni

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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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