The Study of Adaptive Control of Hydraulic Generator Unit by Using GA-Improved Wavelet Neural Networks

Due to the highly complex dynamics of hydraulic generator unit, it is hard to develop an accurate analytical expression of the dynamic model, a new adaptive control algorithm based on the learning characteristic of neural network and the function approximation ability of the wavelet is presented in this paper. The control system consists of two wavelet networks, one realizes active identification and another control for hydraulic generator unit. Simulation results show that this control system is more effective than those based on neural networks.