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Optimization of PID Controller Parameters based on Genetic Algorithm for non-linear Electromechanical Actuator
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 94 - Number 3 |
| Year of Publication: 2014 |
| Authors: Shayma'a A. Mahdi |
10.5120/16322-5573
|
Shayma'a A. Mahdi . Optimization of PID Controller Parameters based on Genetic Algorithm for non-linear Electromechanical Actuator. International Journal of Computer Applications. 94, 3 ( May 2014), 11-20. DOI=10.5120/16322-5573
Abstract
The servo motors system have been widely used in industrial robotics and electronics due to its excellent speed control characteristics even though its maintenance costs are higher than the induction motor. In this paper, the genetic algorithm were used for non-linear electromechanical actuator to determine the optimal parameters of the PID controller to improve the transient response of the system. The designed parameters which were optimized are rise time, peak time, settling time and maximum overshoot. The Simulation results show that the genetic algorithm is a fast and flexible tuning method to determine the optimal parameters of PID controller for wide range of requirements to achieve satisfied performance for stable system. Genetic Algorithm applied in PID controller improves transient response, the average percent overshoot reduction about 80% compared to the conventional methods such as optimized fuzzy supervisory PID, while keep the delay time, rise time and peak time almost unchanged and improves the settling time
References
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