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Robust explicit model predictive flight control of unmanned rotorcrafts: Design and experimental evaluation

机译:无人旋翼飞机的鲁棒显式模型预测飞行控制:设计和实验评估

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This paper focuses on the problem of robust control of unmanned rotorcrafts against external disturbances, towards achieving their efficient and safe utilization in real-life challenging applications. Relying on state space representations that incorporate the effects of external disturbances and may be applied in most rotorcraft configurations, the basis for robust control is derived. Employing such models, a receding horizon control strategy that uses the minimum peak performance measure is developed, such that it ensures the minimum possible deviation from the reference for the worst-case disturbance, as well as robust satisfaction of the imposed state and input constraints. Furthermore, proper augmentation of the proposed framework allows the incorporation of obstacle avoidance capabilities. Employing multi-parametric methods the controller is computed explicitly and therefore enables fast real-time execution. The efficiency of the robust predictive control law is evaluated using experimental studies on two different unmanned rotorcraft configurations. The presented experiments include trajectory tracking subject to atmospheric disturbances, slung load operations, collisions handling as well as avoidance of known obstacles.
机译:本文主要针对无人旋翼飞机对外部干扰的鲁棒控制问题,以期在现实生活中具有挑战性的应用中实现对它们的有效和安全利用。依靠包含外部干扰影响并且可以应用于大多数旋翼飞机配置中的状态空间表示,可以得出鲁棒控制的基础。利用这样的模型,开发了使用最小峰值性能度量的后退水平控制策略,从而确保了在最坏情况下与参考的最小可能偏差,以及对施加状态和输入约束的鲁棒性满足。此外,对拟议框架的适当扩充可以纳入避障能力。使用多参数方法可以显式地计算控制器,因此可以实现快速的实时执行。鲁棒的预测控制律的效率是通过对两种不同的无人旋翼飞机配置的实验研究来评估的。提出的实验包括受大气干扰的轨迹跟踪,倾斜负载操作,碰撞处理以及避免已知障碍物。

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