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

摘要：

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.

关键词： control hydraulic generator unit GA-improved wavelet neural networks

作者: Zhao Hong Yanhua Mi

作者单位: School of Mechatronic Engineering,China Jiliang University.Hangzhou.China Zhejiang College of Construction Hangzhou, China

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 815-818

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）