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Fuzzy Controller Parameters Optimization Based Particle Swarm Optimization Algorithm for Electro-Hydraulic System | ||
| Anbar Journal of Engineering Sciences | ||
| Article 1, Volume 8, Issue 1, 2017, Pages 120-133 PDF (906.61 K) | ||
| DOI: 10.37649/aengs.2017.130764 | ||
| Author | ||
| Zaki Majeed Abdullah | ||
| 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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