The excitation control system is an important part of the synchronous generator. Its characteristics directly affect the reliability and stability of the motor and power system. Based on this, the excitation control system was studied by simulation and relevant conclusions were given. At the same time, some new control algorithms were proposed, and an excitation control system simulation platform was established. First, starting from the model of the synchronous motor and the excitation system, the simulation model of the synchronous motor was modified according to the research needs. The detection unit, control unit and excitation system main circuit model were introduced in detail. On the basis of summarizing the shortcomings of the ordinary PID adjustment method, a nonlinear PID control method with superior performance was proposed. Secondly, the three control methods of ordinary PID, nonlinear PID and fuzzy adaptive PID were simulated under step response and sudden load in brushed and brushless excitation systems respectively, and the output terminal voltage was analyzed and relevant conclusions were drawn. In addition to the simulation analysis of the general excitation control algorithm, an excitation control algorithm based on the synchronous motor itself was proposed. This control method is to perform closed-loop control on the excitation current, and is supplemented by nonlinear PID control for precision adjustment. For this method, two implementation schemes are proposed. Similarly, simulation analysis of step response and sudden load is carried out under brush and brushless excitation systems. Simulation tests show that this control algorithm is superior to general control methods in terms of rapidity and stability of control. Finally, in view of the repeatability of simulation of excitation control system and the cumbersomeness of operation, an excitation control simulation platform based on MATLAB GUI is established. With the help of this platform, SIMULINK model operation can easily realize parameter setting and modification, model viewing and correction, simulation display and related auxiliary operations, etc., which can greatly simplify the simulation operation process and improve the efficiency of simulation. In addition, the realization of this platform also provides an important reference for the establishment of simulation interfaces of other system types.
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