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Robust, Practical Adaptive Control for Launch Vehicles

机译:运载火箭的鲁棒,实用的自适应控制

摘要

A modern mechanization of a classical adaptive control concept is presented with an application to launch vehicle attitude control systems. Due to a rigorous flight certification environment, many adaptive control concepts are infeasible when applied to high-risk aerospace systems; methods of stability analysis are either intractable for high complexity models or cannot be reconciled in light of classical requirements. Furthermore, many adaptive techniques appearing in the literature are not suitable for application to conditionally stable systems with complex flexible-body dynamics, as is often the case with launch vehicles. The present technique is a multiplicative forward loop gain adaptive law similar to that used for the NASA X-15 flight research vehicle. In digital implementation with several novel features, it is well-suited to application on aerodynamically unstable launch vehicles with thrust vector control via augmentation of the baseline attitude/attitude-rate feedback control scheme. The approach is compatible with standard design features of autopilots for launch vehicles, including phase stabilization of lateral bending and slosh via linear filters. In addition, the method of assessing flight control stability via classical gain and phase margins is not affected under reasonable assumptions. The algorithm s ability to recover from certain unstable operating regimes can in fact be understood in terms of frequency-domain criteria. Finally, simulation results are presented that confirm the ability of the algorithm to improve performance and robustness in realistic failure scenarios.
机译:介绍了经典自适应控制概念的现代机械化及其在发射车辆姿态控制系统中的应用。由于严格的飞行认证环境,将许多自适应控制概念应用于高风险航空航天系统是不可行的。稳定性分析的方法对于高复杂度模型而言是很难处理的,或者无法根据经典要求进行协调。此外,文献中出现的许多自适应技术不适合应用于具有复杂的柔性车身动力学的条件稳定系统,这与运载火箭通常是这种情况。本技术是类似于用于NASA X-15飞行研究飞行器的乘性正向环路增益自适应定律。在具有几种新颖功能的数字实现中,它非常适合通过增强基线姿态/姿态速率反馈控制方案,通过推力矢量控制在空气动力学不稳定的运载火箭上使用。该方法与运载火箭自动驾驶仪的标准设计功能兼容,包括通过线性滤波器实现的横向弯曲和晃动的相位稳定。此外,在合理的假设下,通过经典增益和相位裕度评估飞行控制稳定性的方法不会受到影响。实际上,可以根据频域标准来理解算法从某些不稳定的操作状态中恢复的能力。最后,仿真结果证实了该算法在现实故障场景下提高性能和鲁棒性的能力。

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