Research Article
Modeling and Control of Electro-Hydraulic Actuator
@INPROCEEDINGS{10.1007/978-3-030-15357-1_28, author={Beza Nekatibeb and Venkata Komanapalli and Mulugeta Debebe and Endalew Ayenew}, title={Modeling and Control of Electro-Hydraulic Actuator}, proceedings={Advances of Science and Technology. 6th EAI International Conference, ICAST 2018, Bahir Dar, Ethiopia, October 5-7, 2018, Proceedings}, proceedings_a={ICAST}, year={2019}, month={3}, keywords={System identification Electro-Hydraulic Actuator Fuzzy self-tuning PID PSO optimized PID}, doi={10.1007/978-3-030-15357-1_28} }- Beza Nekatibeb
Venkata Komanapalli
Mulugeta Debebe
Endalew Ayenew
Year: 2019
Modeling and Control of Electro-Hydraulic Actuator
ICAST
Springer
DOI: 10.1007/978-3-030-15357-1_28
Abstract
Modeling and position control of an Electro-Hydraulic Actuator (EHA) system is investigated in this paper. Linear ARX EHA system model is identified by taking the experimental data using system identification toolbox in the MATLAB/Simulink. From the identified models the best fit ARX 331 model is used to design a controller using fuzzy logic and Particle swarm optimization (PSO) methods. In the self-tuning Fuzzy PID controller, the controller parameters , and are tuned by the fuzzy controller depending on the two inputs: error and derivatives of the error. In the PSO optimized PID controller, the sum of the time-weighted absolute error objective function is minimized and optimized controller parameters are tuned using PSO algorithms. The results are simulated in the MATLAB/Simulink and compared among conventional Ziegler-Nichols (Z-N), Fuzzy, and PSO PIDs. The results indicate that the self-tuning fuzzy PID and PSO optimized PID give better performance than the Z-N PID controller and the PSO-optimized PID controller demonstrates superior performance in terms of percentage overshot and speed of response with 5% overshoot, 0.02 s rise time and 0.15 s settling time.