Optimal Sliding Mode Chaos Control of Direct-Drive Wave Power Converter

In this paper, in order to investigate the chaos control problem of direct-drive wave power conversion system, the hydrodynamic model of Archimedes wave swing and the state equation of permanent magnet linear synchronous motor are analyzed, and a decoupling mathematical model of the wave power converter is built in combination with feedback decoupling system. The maximum Lyapunov exponent spectrum is used to verify the chaotic phenomenon of the direct-drive wave power converter, and the dynamic response of the converter when entering the chaotic state is explored. A composite sliding mode chaotic controller is proposed. Based on the BP neural network, the global effect of the control parameters is fitted, and the particle swarm optimization algorithm is adopted to optimize the parameters of sliding mode control to determine the optimal control parameters. The Lyapunov criterion is used in stability analysis to prove the effectiveness of the control strategy. The simulation reveals that the sliding mode control strategy can disengage the wave power converter from the chaotic state to the stable state. With particle swarm optimization, the strategy can shorten the response time, suppress the overshoot and enhance system robustness.