基于积分滑模的过驱动混合动力无人机在线控制分配模型参考

K. Prochazka, G. Stomberg
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引用次数: 3

摘要

提出了一种基于分析冗余的双系统混合无人机主动容错控制(FTC)的新概念,以提高无人机在执行器主故障时的运行安全性。该方案利用了混合动力无人机在远程固定翼飞行模式下,除气动表面外采用四个升力旋翼控制飞机固有的过致动特性。容错是利用基于积分滑模的模型参考控制律与控制分配技术相结合,在执行器故障时将控制信号重新分配给健康的执行器,并保持名义闭环性能。介绍了无人机的建模过程,包括升力旋翼与机体动力学之间空气动力学交叉耦合的识别,并给出了硬件在环仿真结果,验证了该方法在实际硬件环境中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integral Sliding Mode based Model Reference FTC of an Over-Actuated Hybrid UAV using Online Control Allocation
This paper presents a novel concept for active fault-tolerant control (FTC) of dual system hybrid unmanned aerial vehicles (UAVs) based on analytical redundancy to increase the operational safety in the face of primary actuator faults. The proposed scheme exploits the inherent overactuation property of hybrid UAVs when in addition to the aerodynamic surfaces four lift rotors are used to control the aircraft during long range fixed-wing flight mode. Fault tolerance is achieved by utilizing an integral sliding mode based model reference control law combined with control allocation techniques to reallocate control signals among healthy effectors in the face of actuator faults and maintain nominal closedloop performance. After introducing the modelling procedure of the UAV, including the identification of aerodynamical cross-couplings between lift rotors and airframe dynamics, Hardware-in-the-loop (HIL) simulation results are presented to demonstrate the efficiency of the proposed scheme in a realistic hardware setup.
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