scholarly journals Sliding Mode Controller Design with Optimized PID Sliding Surface Using Particle Swarm Algorithm

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


2016 ◽  
Vol 22 (10) ◽  
pp. 2734-2737
Author(s):  
Batool Abdulsamad Alkharasani ◽  
Mohd Khair Hassan ◽  
Rini Akmeliawati ◽  
Ribhan Zafira ◽  
Siti Anom Ahmed

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