Intelligent sliding mode tracking control for electro-hydraulic position servo systems based on variable exponential power reaching law with CGWO-PSO

Abstract

Aiming at the various nonlinear factors, external disturbance in electro-hydraulic servo position systems, a novel sliding mode tracking control method based on the variable exponential power is proposed, which not only improves the speed of reaching the sliding mode surface, but also ensures the smooth approach performance as much as possible: the chattering phenomenon of the sliding surface is reduced effectively as a result. Furthermore, in order to optimize the parameters of the sliding mode controller, a new optimization algorithm is proposed by combining Grey Wolf optimizer with particle swarm optimization (CGWO-PSO), skillfully. The primary advantages of the new CGWO-PSO algorithm include faster convergence speed and higher performance. Finally, the co-simulation platform for the electro-hydraulic servo position system is built. The results of co-simulation show that the sliding mode tracking control method proposed in this paper can realize that the electro-hydraulic position servo system has excellent tracking accuracy, strong robustness, and smooth approach performance.