Robust Adaptive Controller Design for Missile with Three-tunnel Input Unmodeled Dynamics and Uncertainties
For a missile system with both input unmodeled dynamics and uncertainties, a robust adaptive controller based on RBF neural networks and backstepping technique is proposed. Two RBF neural networks are firstly designed to approximate the input unmodeled dynamics and its inversion. By introducing adaptive control technique, uncertainties are estimated by adaptive law. Then, adaptive tuning law of weight matrices and uncertain parameters are designed using Lyapunov stability theory based backstepping technique. The developed control scheme guarantees the global stability of the close-loop adaptive systems. Finally, 6DOF simulation results of missile are given to validate the correctness of the control scheme.
Input Unmodeled Dynamics Uncertainties RBF Neural Networks Backstepping
Yunan Hu Jing Li
Department of Control Engineering, Naval Aeronautics Engineering Institute Academy, Yantai, 264001
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
4015-4020
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）