Parameter Optimization for Extremum Seeking Control of Antilock Braking System

Esref Bogar () and Selami Beyhan ()
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Esref Bogar: Pamukkale University
Selami Beyhan: Pamukkale University

No 8209688, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

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.

Keywords: Extremum Seeking Control; Optimization; Antilock Braking System; Metaheuristics (search for similar items in EconPapers)
JEL-codes: C61 (search for similar items in EconPapers)
Pages: 1 page
Date: 2018-07
New Economics Papers: this item is included in nep-cmp and nep-ore
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Published in Proceedings of the Proceedings of the 39th International Academic Conference, Amsterdam, Jul 2018, pages 18-18

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Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:8209688

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