Bücher von Yi Zhang

With the development of the ship industry, the power quality of the ship power system is getting worse and worse. More scholars turn to the detection and improvement of the power system. However, most of the current research focuses on the study of the whole power system, few people pay attention to the source of the power quality problem. The nonlinear load is one of the most important factors to affect the quality of the ship's power. This paper does some study on the power quality of the frequency conversion system¿introduces the harm caused by the electric power quality of the frequency conversion system of the ship, and analyzes the importance of the power quality detection.in order to improve the speed stability of the generator, the sliding mode control method is studied, and the convergence law used in the sliding mode controller is improved to address the problem of high convergence speed and low system jitter in the traditional sliding mode control. The convergence law used in the sliding mode controller is improved. Based on the above study, a rectifier vector control strategy for permanent magnet synchronous generator based on the sliding mode control is proposed.

From the perspective of further reducing the system cost and realizing high-performance vector control, the book takes the surface mounted PMSM as the research object and studies the phase current sampling reconstruction technology and sensorless control technology. Aiming at the chaotic control problem with uncertain parameters of the PMSM operating system, this paper designs an adaptive sliding mode chaotic control algorithm based on the adaptive control theory. The uncertain parameter model of the PMSM system is established. The parameter uncertainty defines the tracking error of each state and the error of its system parameters. Based on the error system, an adaptive law with unknown system parameters and state variables is constructed, and the sliding mode arrival condition based on the LMI algorithm is introduced to solve and prove the stability of the control system. Finally, the simulation experiment proves the effectiveness and robustness of the adaptive sliding mode controller based on the LMI algorithm designed for the parameter uncertainty of the PMSM operating system.