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Active fault-tolerant control system design with trajectory re-planning against actuator faults and saturation: Application to a quadrotor unmanned aerial vehicle

机译:具有针对执行器故障和饱和度的轨迹重新规划的主动容错控制系统设计:在四旋翼无人机上的应用

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摘要

During the past 30years, various fault-tolerant control (FTC) methods have been developed to address actuator or component faults for various systems with or without tracking control objectives. However, very few FTC strategies establish a relation between the post-fault reference trajectory to track and the remaining resources in the system after fault occurrence. This is an open problem that is not well considered in the literature. The main contribution of this paper is in the design of a reconfigurable FTC and trajectory planning scheme with emphasis on online decision making using differential flatness. In the fault-free case and on the basis of the available actuator resources, the reference trajectories are synthesized so as to drive the system as fast as possible to its desired setpoint without violating system constraints. In the fault case, the proposed active FTC system (AFTCS) consists in synthesizing a reconfigurable feedback control along with a modified reference trajectories once an actuator fault has been diagnosed by a fault detection and diagnosis scheme, which uses a parameter-estimation-based unscented Kalman filter. Benefited with the integration of trajectory re-planning using the flatness concept and the compensation-based reconfigurable controller, both faults and saturation in actuators can be handled effectively with the proposed AFTCS design. Advantages and limitations of the proposed AFTCS are illustrated using an experimental quadrotor unmanned aerial vehicle testbed.Copyright (c) 2013 John Wiley & Sons, Ltd.
机译:在过去的30年中,已经开发出各种容错控制(FTC)方法来解决具有或不具有跟踪控制目标的各种系统的执行器或组件故障。但是,很少有FTC策略在故障发生后要跟踪的故障后参考轨迹与系统中的剩余资源之间建立关系。这是一个开放的问题,在文献中没有很好地考虑。本文的主要贡献在于可重配置的FTC和轨迹规划方案的设计,重点是利用差分平坦度进行在线决策。在无故障的情况下,并在可用执行器资源的基础上,合成参考轨迹,以便在不违反系统约束的情况下将系统尽可能快地驱动至其期望的设定值。在故障情况下,提出的主动FTC系统(AFTCS)包括一旦通过故障检测和诊断方案诊断出执行器故障,即使用基于参数估计的无味方法,则将可重构反馈控制与修改后的参考轨迹合成在一起卡尔曼滤波器。受益于使用平面度概念和基于补偿的可重配置控制器的轨迹重新规划的集成,所提出的AFTCS设计可以有效地处理执行器中的故障和饱和。拟议的AFTCS的优势和局限性是通过使用实验性四旋翼无人机试验台来说明的。(c)2013 John Wiley&Sons,Ltd.

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