Variational method based robust adaptive control for a guided spinning rocket
| Autor: | Liangyu Zhao, Zhongjiao Shi, Zhijie Liu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Adaptive control business.product_category Computer science Aerospace Engineering 02 engineering and technology Bregman divergence Guided spinning rockets 01 natural sciences 010305 fluids & plasmas 020901 industrial engineering & automation Control theory Robustness (computer science) 0103 physical sciences Motor vehicles. Aeronautics. Astronautics Autopilot design Mechanical Engineering Variational method TL1-4050 Aerodynamics Rate of convergence Rocket Second-order adaptive law Trajectory Robust adaptive control business |
| Zdroj: | Chinese Journal of Aeronautics, Vol 34, Iss 3, Pp 164-175 (2021) |
| ISSN: | 1000-9361 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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