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Fault-tolerant control with linear quadratic and model predictive control techniques against actuator faults in a quadrotor UAV

机译:具有线性二次和模型预测控制技术的容错控制,针对四旋翼无人机的执行器故障

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摘要

This paper implements and compares the two control algorithms based on linear quadratic (LQ) technique in infinite-time and finite-time horizons applied to a quadrotor helicopter unmanned aerial vehicle (UAV) in the presence of actuator faults. The particular control algorithms applied are linear quadratic regulator (LQR) and model predictive control (MPC) in controlling a quadrotor helicopter UAV testbed (known as Qball-X4) for both the scenarios with and without faults. The fault type considered is actuator fault (loss of control effectiveness). Performance is compared through designing fault-tolerant control for the height control of the Qball-X4. Simulation performance are compared in terms of advantages and limitations of these two control algorithms with application to the Qball-X4.
机译:本文对存在执行器故障的四旋翼直升机无人飞行器(UAV)在无限时域和有限时域中实现和比较了两种基于线性二次(LQ)技术的控制算法进行了比较。所应用的特定控制算法是线性二次调节器(LQR)和模型预测控制(MPC),用于控制有故障和无故障情况下的四旋翼直升机无人机试验台(称为Qball-X4)。所考虑的故障类型为执行器故障(控制有效性丧失)。通过为Qball-X4的高度控制设计容错控制来比较性能。针对这两种控制算法在Qball-X4中的优势和局限性,对仿真性能进行了比较。

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