Adaptive RBF Neural Network sliding Mode Control for Ship Course Control System

摘要：

For ship course control system, this paper proposes a class of sliding mode variable structure control method (SMVSC) based on RBF neural network. The mathematical model of ship steering system possesses parametric perturbation and external disturbances, which combines the advantages of RBF neural network and sliding mode control. The controller is given by the output of RBF neural network and the weights of neural network can be adjusted online according to the sliding mode reaching law. Simulation results illustrate the effectiveness and robustness of the proposed algorithm.

关键词： Ship Course Control RBF Neural Network Sliding Mode Control

作者: Meng Wei Guo Chen

作者单位: School of Information Science and Technology Dalian Maritime University Dalian, China

会议类型: 国际会议

会议名称: 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics 第三届智能人机系统与控制论国际会议 IHMSC 2011

会议地点: 杭州

会议语种:英文

页码: 262-265

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）