基于随机鲁棒设计的高超音速飞行器线性二次型控制

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线性二次型控制。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随机鲁棒目标函数，并通过遗传算法优化控制系统设计参数。该控制方案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。

Linear quadratic control based on stochastic robustness design for hypersonic vehicles

A linear quadratic control method based on stochastic robustness design was proposed according to the features that hypersonic vehicle model is highly nonlinear，input/output have strong coupling without certain parameters. This control scheme is based on system control requirements, using Monte Carlo simulation method to establish stochastic robustness cost function, and adopting genetic algorithm to optimize the control system design parameters. This formulation can ensure the longitudinal flight stability and improve the control performance of hypersonic vehicles. The controller was demonstrated in closed loop simulations based on an existing longitudinal hypersonic vehicle model. The simulation results show that the controller successfully tracks the reference trajectories, meets the system needs and has strong robustness.