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Fuzzy Controller Parameters Optimization Based Particle Swarm Optimization Algorithm for Electro-Hydraulic System

    Zaki Majeed Abdullah

Anbar Journal of Engineering Sciences, 2017, Volume 8, Issue 1, Pages 120-133
10.37649/aengs.2017.130764

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Abstract

Particle Swarm Optimization Algorithm (PSOA) has emerged recently as an efficient and powerful technique for the optimization of real parameters. The current study presents control scheme for electro-hydraulic actuator system which utilizes particle swarm optimization (PSO) for off-line tuning of the Fuzzy Proportional-Derivative (Fuzzy PD) controller. The gains and Membership Functions (MFs) tuned by PSOA which has been implemented depending on the performance indices: ITAE (Integral Time of Absolute Error), ISE (Integral Square of Error), and IAE (Integral Absolute of Error).
Keywords:
    hydraulic system Fuzzy inference systems Particle swarm optimization position control
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(2017). Fuzzy Controller Parameters Optimization Based Particle Swarm Optimization Algorithm for Electro-Hydraulic System. Anbar Journal of Engineering Sciences, 8(1), 120-133. doi: 10.37649/aengs.2017.130764
Zaki Majeed Abdullah. "Fuzzy Controller Parameters Optimization Based Particle Swarm Optimization Algorithm for Electro-Hydraulic System". Anbar Journal of Engineering Sciences, 8, 1, 2017, 120-133. doi: 10.37649/aengs.2017.130764
(2017). 'Fuzzy Controller Parameters Optimization Based Particle Swarm Optimization Algorithm for Electro-Hydraulic System', Anbar Journal of Engineering Sciences, 8(1), pp. 120-133. doi: 10.37649/aengs.2017.130764
Fuzzy Controller Parameters Optimization Based Particle Swarm Optimization Algorithm for Electro-Hydraulic System. Anbar Journal of Engineering Sciences, 2017; 8(1): 120-133. doi: 10.37649/aengs.2017.130764
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This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

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