Co-simulation of Neural Networks PID Control for Ship Steering Hydraulic System

摘要：

For optimization of the dynamic performance of ship steering hydraulic system, a back propagation (BP) neural networks PID control algorithm was studied based on the characteristics of nonlinearity and time variation of the system. Then the control system model in MATLAB/Simulink was designed according to the algorithm, and a co-simulation between the control system and the hydraulic system was carried out via the interface of MSC.EASY5. The co-simulation results show that the PID control mode presented in this paper has the capabilities of self-studying and self-adapting. Results also reveal that the control mode can obtain better robustness and faster response than the conventional PID control. Conclusions are drawn that the application of neural networks PID control on complex and nonlinear hydraulic system control can bring about better performance.

关键词： Hydraulic System Neural Networks Cosimulation

作者: Fuquan Lin Shaofen Lin Shengbin Zeng

作者单位: Department of Marine Engineering University of Jimei Xiamen,Fujian Province,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）