scholarly journals Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm

Machines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 283
Author(s):  
Xinyu Zheng ◽  
Xiaoyu Su

This paper investigates a sliding mode controller based on quantum particle swarm optimization algorithm (QPSO) to solve the nonlinearity of electro-hydraulic servo systems, external disturbance problems, and jitter of sliding mode controller. The electro-hydraulic servo system state space equations are established, constructing the sliding surface according to the tracking error and obtaining the output of the sliding mode controller. The ITAE metric is used as an adaptation function of the QPSO algorithm to evaluate the parameters in the sliding mode controller, which has good engineering utility and parameter selectivity. The QPSO algorithm is used to increase the randomicity of the search and to expand the search space, which can effectively prevent falling into a local optimum solution. Finally, a comparative simulation is presented to illustrate global search performance of QPSO algorithm and the effectiveness and applicability of the proposed control method.

2010 ◽  
Vol 156-157 ◽  
pp. 1537-1540 ◽  
Author(s):  
Xiao Jing Wang ◽  
Jun Peng Shao ◽  
Ji Hai Jiang

In order to suppress the periodic interference of continuous rotary electro-hydraulic servo motor, make the motor tracking periodic signals more accurate, and improve the influence of friction interference on the performance of continuous rotary electro-hydraulic servo motor, mathematic model of continuous rotary motor electro-hydraulic position servo system was established, and the compound control method based on the discrete sliding mode controller was adopted to suppress the friction interference. Through the simulation, the result confirms that the discrete sliding mode controller decreases the tracking error of the system, increases the system robust performance and improves performance of continuous rotary electro-hydraulic servo motor. This method is simple and feasible.


2013 ◽  
Vol 753-755 ◽  
pp. 2674-2678
Author(s):  
Kun Yang ◽  
Cai Jun Liu ◽  
Shu Min Liu

Based on the situation that the hydraulic position servo system is easily influenced by the external interference and the parameters of which are different with time-varying, the fuzzy control can soften the buffeting and the sliding algorithm has no the same problems as the hydraulic position servo system, a brandly-new fuzzy sliding control algorithm is designed. In the simulation process, within the parameters of simulated time-varying and outside strong interference, the results show that the hydraulic servo system based on fuzzy sliding mode control algorithm has a greater resistance to internal and external interference and time-varying parameters.


2017 ◽  
Vol 105 ◽  
pp. 235-239 ◽  
Author(s):  
Chong Chee Soon ◽  
Rozaimi Ghazali ◽  
Hazriq Izzuan Jaafar ◽  
Sharifah Yuslinda Syed Hussien

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