Concurrent Control of IMWNN and SNPID Based on WNN Identification for Ship Fin Stabilizer
A concurrent control of inverse model wavelet neural network (IMWNN) and single neuron PID(SNPID) based on wavelet neural network(WNN) identification for ship fin stabilizer system is presented in the paper. The IMWNN is employed to implement the feed-forward control, and obtain the inverse dynamics model of the process. The SNPID controller is adopted to carry out feedback control, and assure the stability of closed loop system and restrain the disturbances. The WNN is used to identify the model of plant and adjust the parameters of SNPID. The simulation results illustrate the efficiency of the proposed method, and prove that the concurrent control can make sure the stability and robustness of control system and effectively improve the system adaptive ability. This method not only can be applied to ship roll-reducing control, but also can be used in other complexity, non-linearity system control.
Hui Li Chen Guo Ruihua Wu Xiaofang Li
Automation and Elec. Eng. College Dalian Maritime University Dalian 116026, P.R.China Computer Faculty Dalian Electronic School Dalian 116026, P.R.China
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）