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For the water turbine generator unit speed control system control error is large, long adjustment time, low control accuracy, poor stability and other problems, the PID neural network speed control strategy is proposed. First of all, the PID neural network (PIDNN) is used to design the speed control system of the turbine generator unit, and a complete model of the turbine generator unit speed control system is established. Secondly, using MATLAB for simulation, the step response of the water turbine generator unit speed control system is obtained. Finally, compared with the traditional PID controller, the PID neural network controller has obvious advantages in controlling error, adjusting time, over-tuning inhibition, etc., and has good stability.

Research on speed regulation system of water turbine generator unit based on PID neural network