Abstract
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.
Highlights
Electro-hydraulic servo systems are widely used in hydraulic robots [1], vehicle suspension systems [2], machine tool tables [3], ship’s rudders, aerospace [4], and various other applications [5] due to their high control accuracy, fast response time, high output power, and other characteristics
In [13], the adaptive inverse sliding mode controller has been investigated for interference immunity and control accuracy in electro-hydraulic servo systems
In [19], the improved algorithm based on the Corsi variance and adaptive speed update strategy is used to optimize the parameters of the sliding mode controller
Summary
Electro-hydraulic servo systems are widely used in hydraulic robots [1], vehicle suspension systems [2], machine tool tables [3], ship’s rudders, aerospace [4], and various other applications [5] due to their high control accuracy, fast response time, high output power, and other characteristics. Function) radial basis control model and adaptive sliding mode algorithm are proposed to improve the robustness. This design can resolve the uncertainty of model parameters and external disturbances due to nonlinearity. The slipform observer has been investigated in [17] for the matching and mismatching model uncertainty of electro-hydraulic position servo systems This design has a strong robustness and good tracking effect. In [19], the improved algorithm based on the Corsi variance and adaptive speed update strategy is used to optimize the parameters of the sliding mode controller. The use of QPSO algorithm in the control of electro-hydraulic servo system by sliding mode controller can effectively improve the accuracy and performance of the system. A simulation example is performed to illustrate effective design of this paper
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
