Sliding Mode Control Optimization of Grid-Connected Inverter Based on Multi-Objective Particle Swarm Optimization Algorithm

• Published in: 2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE) pp. 1 - 7
• Main Authors: Jin, Yongkang, Wang, Chun, Yan, Wenxu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25-09-2022
• Subjects: Inverters; Mathematical models; Photovoltaic systems; Power filters; Power grids; Process control; Robustness
• ISSN: 2474-3852
• DOI: 10.1109/ICHVE53725.2022.10014517

The traditional grid connected inverter adopts PI control. It often has the problems of insufficient control accuracy, poor robustness and poor anti-interference. A double closed-loop sliding mode control (SMC) strategy which enhances the anti-interference of the system is proposed to solve the above problems. The strategy is based on the inner current loop and the outer voltage loop. At the same time, multi-objective particle swarm optimization (PSO) algorithm is used to tune the parameters of the sliding mode controller. It makes the controller have the advantages of high tracking accuracy, fast response speed and small overshoot. Finally, the superiority and feasibility of the proposed strategy are proved through Matlab/Simulink simulation experiment.