Adaptive Inverse Control of Hydro Electric Unit Based on Wavelet Neural Networks
Due to the nonlinear,time-variable and non-minimum phase character of hydro electric unit system integrated with water,motor and power,a new adaptive inverse control method of hydro electric unit based on the function approximation ability of the wavelet analysis and the learning characteristic of neural network is presented.The algorithm and formulas and method of adaptive inverse control is studied.It approximates the model and its inversion of hydro electric unit by wavelet neural networks(WNN),and then through constructing an aim function of broad sense,which is effective to the nonlinear non-minimum phase system.Theory and simulation to for hydro electric unit system demonstrate that the control strategy can more effective improve the dynamic and stationary performance than those based on neural networks.It gives a new approach in control for hydro electric unit system besides offer a beneficial reference to the control of non-minimum phase systems.
Adaptive Inverse Control Wavelet Networks Neural Networks Hydro Electric Unit
Zhong Liao Binyuan Ye
School of Electrical Engineering,Guangdong Jidian Polytechnic Guangzhou China
国际会议
广州
英文
1200-1203
2012-11-16（万方平台首次上网日期，不代表论文的发表时间）