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.
| Original language | English |
|---|---|
| Pages (from-to) | 164-175 |
| Number of pages | 12 |
| Journal | Chinese Journal of Aeronautics |
| Volume | 34 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2021 |
Keywords
- Autopilot design
- Guided spinning rockets
- Robust adaptive control
- Second-order adaptive law
- Variational method
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