LASS, Laboratoire d'Analyse des Signaux et Systèmes, Department of Electrical Engineering, Faculty of Technology, University of M'sila, BP 166 Ichbilia, Msila, Algeria.
LGE, Laboratoire de Génie Electrique, Department of Electrical Engineering, Faculty of Technology, University of M'sila, BP 166 Ichbilia, Msila, Algeria.
ISA Trans. 2019 Dec;95:330-345. doi: 10.1016/j.isatra.2019.04.034. Epub 2019 May 14.
In this paper, a robust attitude and position control of a novel modified quadrotor unmanned aerial vehicles (UAV) which has higher drive capability as well as greater robustness against actuator faults than conventional quad-rotor UAV has been developed. A robust backstepping controller with adaptive interval type-2 fuzzy logic is proposed to control the attitude and position of the modified quadrotor under actuator faults. Besides globally stabilizing the system amid other disturbances, the insensitivity to the model errors and parametric uncertainties are the asset of the backstepping approach. The adaptive interval type-2 fuzzy logic as fault observer can effectively estimate the lumped faults without the knowledge of their bounds for the modified quadrotor UAV. Additionally, the type-2 fuzzy systems are utilized to approximate the local nonlinearities of each subsystem under actuator faults, next and in order to achieve the expected tracking performance, we used Lyapunov theory stability and convergence analysis to online adjust adaptive laws. As a result, the uniformly ultimate stability of the modified quadrotor system is proved. Finally, the performances of the proposed control method are evaluated by simulation and the results demonstrate the effectiveness of the proposed control strategy for the modified quadrotor in vertical flights in presence of actuator faults.
本文针对一种新型改进型四旋翼无人机(UAV),提出了一种具有更高驱动能力和对执行器故障更强鲁棒性的稳健姿态和位置控制方法。该方法采用具有自适应区间型 2 模糊逻辑的鲁棒反步控制器,在执行器故障下控制改进型四旋翼的姿态和位置。除了在其他干扰下全局稳定系统外,反步方法的优点是对模型误差和参数不确定性不敏感。自适应区间型 2 模糊逻辑作为故障观测器,可以在不知道执行器故障总合的情况下有效估计其界限。此外,使用型 2 模糊系统来近似每个子系统在执行器故障下的局部非线性,接下来,为了实现预期的跟踪性能,我们使用 Lyapunov 理论稳定性和收敛性分析来在线调整自适应律。结果证明了改进型四旋翼系统的一致最终稳定性。最后,通过仿真评估了所提出的控制方法的性能,结果表明,所提出的控制策略在执行器故障存在的情况下对改进型四旋翼的垂直飞行具有有效性。