Adaptive Intelligent Control of Hydraulic Generator Unit Based on Wavelet Networks

Due to the highly nonlinear and complex dynamics of hydraulic generator unit, a new adaptive intelligent control method of hydraulic generator unit based on the learning characteristic of neural network and the function approximation ability of the wavelet is presented. The adaptive intelligent control system consists of two wavelet networks, one realizes active identification and another control for hydraulic generator unit. Theory and simulation results show that this control system is more effective in improve dynamic track performance and resistance to disturbance of system than those based on neural networks. It provides a new method in control hydraulic generator unit besides offer a beneficial reference to the control of complex non-liner systems.