Variational method based robust adaptive control for a guided spinning rocket |
| |
Institution: | School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China |
| |
Abstract: | In this paper, a robust adaptive controller is designed for a guided spinning rocket, whose dynamics presents the characteristics of pitch-yaw cross coupling, fast time-varying aerodynamics parameters and wide flight envelop. First, a coupled nonlinear six-degree-of-freedom equation of motion for a guided spinning rocket is developed, and the lateral acceleration motion is modeled as a control plant with time-varying matched uncertainties and unmodeled dynamics. Then, a robust adaptive control method is proposed by combining Bregman divergence and variational method to achieve fast adaption and maintain bounded tracking. The stability of the resulting closed-loop system is proved, and the ultimate bound and convergence rate are also analyzed. Finally, numerical simulations are performed for a single operating point and the whole flight trajectory to show the robustness and adaptability of the proposed method with respect to time-varying uncertainties and unmodeled dynamics. |
| |
Keywords: | Autopilot design Guided spinning rockets Robust adaptive control Second-order adaptive law Variational method |
本文献已被 万方数据 ScienceDirect 等数据库收录! |
|