Neural Network and Sliding Mode Control Combining Based Reconfigurable Control

摘要：

This paper introduces a neural network adaptive control and sliding mode control combining reconfigurable control for aircraft. The control law is based on the nonlinear dynamic inversion. Sliding model control and fuzzy neural network adaptive control are used to compensate twice the inversion error induced by aircraft actuator failures. Thereby the robustness of dynamic inversion control is greatly improved, and the modeling accuracy has been solved. The simulation shows that this method is feasible.

关键词： neural network dynamic inversion sliding mode control adaptive control

作者: Gongcai Xin Zhengzai Qian Weilun Chen Kun Qian Li Li

作者单位: Department of Aerial Instrument and Electric Engineering,The First Aeronautical Institute of Air Force, Xin Yang, 464000, China

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 238-243

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）