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

机译:用线性二次和模型预测控制技术对电流耦合器故障的耐容错控制

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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:本文实现并将基于线性二次(LQ)技术的无限时间和有限时间范围基于线性二次(LQ)技术的控制算法在致动器断层的存在下施加到四射线直升机无人空中飞行器(UAV)。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),用于控制具有和无故障的场景的Quadrotor直升机UAV测试(称为Qball-x4)。考虑的故障类型是执行器故障(控制效果的损失)。通过为QBALL-X4的高度控制设计容错控制来进行性能进行比较。以应用于QBALL-X4的这两个控制算法的优缺点和局限性来比较模拟性能。

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