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Performance Comparison of Controllers with Fault-Dependent Control Allocation for UAVs

机译:无人机控制器与故障相关控制分配的性能比较

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摘要

This paper combines fault-dependent control allocation with three different control schemes to obtain fault tolerance in the longitudinal control of unmanned aerial vehicles. The paper shows that fault-dependent control allocation is able to accommodate actuator faults that would otherwise be critical and it makes a performance assessment for the different control algorithms: an L1 adaptive backstepping controller; a robust sliding mode controller; and a standard PID controller. The actuator faults considered are the partial to total loss of the elevator, which is a critical component for the safe operation of unmanned aerial vehicles. During nominal operation, only the main actuator, namely the elevator, is active for pitch control. In the event of a partial or total loss of the elevator, fault-dependent control allocation is used to redistribute control to available healthy actuators. Using simulations of a Cessna 182 aircraft model, controller performance and robustness are evaluated by metrics that assess control accuracy and energy use. System uncertainties are investigated over an envelope of pertinent variation, showing that sliding mode and L1 adaptive backstepping provide robustness, where PID control falls short. Additionally, a key finding is that the fault-dependent control allocation is instrumental when handling actuator faults.
机译:本文将基于故障的控制分配与三种不同的控制方案相结合,以在无人机纵向控制中获得容错能力。本文表明,与故障有关的控制分配能够适应原本很关键的执行器故障,并且可以对不同的控制算法进行性能评估:L1自适应反推控制器;强大的滑模控制器;和一个标准的PID控制器。所考虑的执行器故障是电梯的部分或全部损失,这是无人飞行器安全运行的关键组成部分。在正常运行期间,只有主执行器(即电梯)可用于变桨控制。在电梯部分或全部丢失的情况下,故障相关控制分配用于将控制重新分配给可用的正常执行器。使用塞斯纳182飞机模型的仿真,通过评估控制精度和能源使用的指标来评估控制器的性能和鲁棒性。在相关变化的范围内对系统不确定性进行了研究,表明滑模和L1自适应反推提供了鲁棒性,而PID控制不足。此外,一个关键发现是,在处理执行器故障时,与故障相关的控制分配非常重要。

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