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Adaptive Immersion and Invariance Sliding Mode Control for Hypersonic Vehicles with Parametric Uncertainty

机译:具有参数不确定性的高超声速车辆的自适应浸没和不变滑模控制

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In this paper, a multi-input/multi-output (MIMO) adaptive sliding mode control system based on immersion and invariance (I&I) methodology is developed and analyzed for the longitudinal dynamics of a flexible air-breathing hypersonic vehicle whose model is multivariable, nonlinear, and includes parameter uncertainty. Sliding mode controllers combined with on-line parameter estimators based on adaptive I&I theory are synthesized to suppress the significant aerodynamic parameter uncertainties. The stability of the closed-loop control system is proved by the Lyapunov stability theory. Simulation experiments are conducted to evaluate the robustness of the controller system with respect to parametric uncertainty, which meanwhile show the effectiveness and high performance of the controller system in terms of aggressive maneuvering control inputs.
机译:在本文中,开发了一种基于浸没和不变性(I&I)方法的多输入/多输出(MIMO)自适应滑动模式控制系统,并对模型是多变量的柔性空气呼吸超声车辆的纵向动力学,非线性,包括参数不确定性。合成滑动模式控制器与基于自适应I&I理论的在线参数估计相结合,以抑制显着的空气动力学参数不确定性。通过Lyapunov稳定性理论证明了闭环控制系统的稳定性。进行仿真实验以评估控制器系统关于参数不确定性的鲁棒性,这同时显示了控制器系统在激进的机动控制输入方面的有效性和高性能。

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