Abstract: According to the identification ability of neural network to the model of non-linear system, the inverse model of hydraulic turbine generator unit is modeled by combining the neural network with the adaptive inverse control, and a new turbine regulating system is born. Based on the theory of inverse system and system identification, a neural network inverse controller is established for the frequency and load disturbance of the hydraulic turbine generator unit, and the simulation results are compared with the traditional PID control. From the simulation results, it can be seen that the proposed control scheme can effectively control the hydraulic turbine generator unit and make the system have better dynamic performance and robustness.

Key words: system identification, neural network, inverse model, hydraulic turbine generator unit