Optimization of hydraulic drives using a hydraulic servo system with a FOPID controller
Main Article Content
Abstract
Currently, the need to use the hydraulic system in various fields is increasing. Including excavator equipment, crane machines optimize the process of moving cargo. In the FOPID system, the power of the fluid is used in hydraulic machines to perform its task. The power of the liquid serves to perform the work of hydraulic machines more precisely. This paper focuses on finding the best parameter for an integral (FOPID) system using the fractional proportional method. The MATLAB-SIMULINK package was used to simulate the process of doing this work.
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Salimbahrami Reza S., Shakeri Reza Experimental investigation and comparative machine-learning prediction of compressive strength of recycled aggregate concrete. Soft Computing, Vol. 25, Issue 2, 2021, p. 919-932.
Maneetham Dechrit, Afzulpurkar Nitin. Modeling, simulation and control of high speed nonlinear hydraulic servo system. Journal of Automation, Mobile Robotics and Intelligent Systems, Vol. 4, Issue 1, 2010, p. 94-103.
Goran Gregov, Dubravka Siminiati. Computer simulation of a laboratory hydraulic system with Matlab-Simulink. 8th International Scientific Conference on Advanced Engineering, Computer Aided Design and Manufacturing CADAM 2010 Proceedings, 2010.
Magdy Aboelela A. S., Mohamed El Sayed Essa M., Mustafa Hassan M. A. Modeling and identification of hydraulic servo systems. International Journal of Modelling and Simulation, Vol. 38, Issue 3, 2018, p. 139-149.
Milic Vladimir, Situm Zeljko, Essert Mario. Robust H∞ position control synthesis of an electro-hydraulic servo system. ISA Transactions, Vol. 49, Issue 4, 2010, p. 535-542.
Tanasak Samakwong, Wudhichai Assawinchaichote. PID controller design for electro-hydraulic servo valve system with genetic algorithm. Procedia Computer Science, Vol. 86, 2016, p. 91-94.
Dirk Nissing. A vibration damped flexible robot: identification and parameter optimization. Proceedings of the American Control Conference, 2000.
Mohamed El Sayed Essa M., Magdy Aboelela A. S., Mohammed Hassan A. M. A comparative study between ordinary and fractional order PID controllers for modelling and control of an industrial system based on genetic algorithm. 6th International Conference on Modern Circuits and Systems Technologies, 2017.
Mohamed El Sayed Essa M., Magdy As Aboelela, Mohamed Ahmed Moustafa Hassan. Position control of hydraulic servo system using proportional-integral-derivative controller tuned by some evolutionary techniques. Journal of Vibration and Control, Vol. 22, Issue 12, 2016, p. 2946-2957.
Deng, W. H., et al. "Fractional order PID controller design for a hydraulic servo system using particle swarm optimization." Nonlinear Dynamics 84.3 (2016): 1307-1316.
El-Gohary, Awad A., and S. A. El-Kholy. "Tuning of fractional order PID controller for hydraulic servo system." Journal of Control Science and Engineering 2014 (2014).
Xu, Qingsong, et al. "Design of Fractional Order PID Controller Based on Improved Particle Swarm Optimization for Electro-Hydraulic Servo System." Journal of Computational and Theoretical Nanoscience 16.3-4 (2019): 1655-1660.