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Parameter Optimization for Extremum Seeking Control of Antilock Braking System

Author

Listed:
  • Esref Bogar

    (Pamukkale University)

  • Selami Beyhan

    (Pamukkale University)

Abstract

This paper presents a parameter tuned Extremum Seeking Control (ESC) which is utilized for control of antilock breaking system (ABS). Extremum seeking control (ESC) is a purely based on output feedback without the need for a plant model. However, the design challenge of ESC lies in deciding the values of the amplitude of the perturbation signal, the frequency of the perturbation signal, the cut-off frequency of the high-pass filter, the cut-off frequency of the low-pass filter and the integrator gain. In the present paper, the filter parameters are optimized based on the well-known meta-heuristic optimization algorithms such as Jaya Algorithm (JA), Genetic Algorithm (GA), Sine-Cosine Optimization Algorithm (SCA) and Particle Swarm Optimization Algorithm (PSO). The designed ESC controllers are applied to control of antilock breaking system for possible performance comparisons.

Suggested Citation

  • Esref Bogar & Selami Beyhan, 2018. "Parameter Optimization for Extremum Seeking Control of Antilock Braking System," Proceedings of International Academic Conferences 8209688, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:8209688
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    File URL: https://iises.net/proceedings/39th-international-academic-conference-amsterdam/table-of-content/detail?cid=82&iid=005&rid=9688
    File Function: First version, 2018
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    More about this item

    Keywords

    Extremum Seeking Control; Optimization; Antilock Braking System; Metaheuristics;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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