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ESO-based Trajectory Tracking Control for Quadrotor UAV with Prescribed Performance

机译:具有规定性能的基于ESO的四旋翼无人机轨迹跟踪控制

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The trajectory tracking control of the quadrotor unmanned aerial vehicle (QUAV) is investigated. The aim of this paper is to develop a novel trajectory tracking control method considering model uncertainties and external disturbances with finite-time stability and prescribed performance of the attitude. Firstly, the trajectory tracking control system of the QUAV is decoupled into two subsystems, i.e., position and attitude subsystems, wherein, backstepping technique is used to design the position tracking controller. Then, to guarantee the tracking performance of the attitude subsystem, a finite-time convergent performance function is developed, and a prescribed performance attitude controller is devised via using integral barrier Lyapunov function thereafter. In the design process of the above two controllers, ESO is used to estimate and compensate multiple uncertainties and disturbances simultaneously. Moreover, the fractional state feedback and discontinuous phenomenon of the control law are directly avoided to achieve the finite-time convergence rate. Finally, an illustrative example is organized to verify the effectiveness of the proposed approach.
机译:研究了四旋翼无人机的轨迹跟踪控制。本文的目的是开发一种新的轨迹跟踪控制方法,该方法考虑了模型不确定性和外部干扰,具有有限的时间稳定性和规定的姿态性能。首先,将QUAV的轨迹跟踪控制系统解耦为两个子系统,即位置和姿态子系统,其中,采用后推技术来设计位置跟踪控制器。然后,为了保证姿态子系统的跟踪性能,开发了一个有限时间收敛性能函数,然后通过使用积分势垒李雅普诺夫函数设计了一个规定的性能姿态控制器。在以上两个控制器的设计过程中,ESO用于同时估计和补偿多个不确定性和干扰。而且,直接避免了分数阶状态反馈和控制律的不连续现象,从而达到了有限时间收敛的目的。最后,组织了一个说明性示例来验证所提出方法的有效性。

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