针对高超音速飞行器具有高度非线性、输入输出之间强耦合以及参数不确定等特点,提出了基于随机鲁棒设计的动态逆控制;这一控制方案基于系统控制需求,利用蒙特卡罗仿真方法建立目标函数,并通过遗传算法最优化系统设计参数,该控制方案将动态逆控制的非线性解耦控制能力与随机鲁棒设计的强鲁棒性结合,保证了飞行的纵向稳定性,改善了其控制性能;基于某常规高超音速飞行器纵向模型进行仿真验证,结果表明该方案能够满足系统控制需求且具有强鲁棒性.%A dynamic inversion control method based on stochastic robustness design is presented according to the feature that hypersonic vehicle model is highly nonlinear, input/output strong coupling and includes uncertain parameters. This control scheme based on system control requirements, using monte carlo simulation method to establish cost function, and through genetic algorithm for system design parameters are optimized. The formulation combines the nonlinear decoupling ability of nonlinear dynamics inversion with the strong robustness design of stochastic robustness. So it can ensure the longitudinal flight stability and improve the control performance of hypersonic vehicle. Thecontroller is demonstrated in closed loop simulations based on an existing longitudinal hypersonic vehicle model. Simulation results show that the controller successfully tracks the reference trajectories; meet the system needs and have strong robustness.
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