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Design and application of an adaptive backstepping sliding mode controller for a six-DOF quadrotor aerial robot

机译:六自由度四旋翼飞行器自适应反推滑模控制器的设计与应用

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摘要

The quadrotor aerial robot is a complex system and its dynamics involve nonlinearity, uncertainty, and coupling. In this paper, an adaptive backstepping sliding mode control (ABSMC) is presented for stabilizing, tracking, and position control of a quadrotor aerial robot subjected to external disturbances. The developed control structure integrates a backstepping and a sliding mode control approach. A sliding surface is introduced in a Lyapunov function of backstepping design in order to further improve robustness of the system. To attenuate a chattering problem, a saturation function is used to replace a discontinuous sign function. Moreover, to avoid a necessity for knowledge of a bound of external disturbance, an online adaptation law is derived. Particle swarm optimization (PSO) algorithm has been adopted to find parameters of the controller. Simulations using a dynamic model of a six degrees of freedom (DOF) quadrotor aerial robot show the effectiveness of the approach in performing stabilization and position control even in the presence of external disturbances.
机译:四旋翼飞行器机器人是一个复杂的系统,其动力学涉及非线性,不确定性和耦合。在本文中,提出了一种自适应反步滑模控制(ABSMC),用于稳定,跟踪和受外部干扰的四旋翼飞行器的位置控制。所开发的控制结构集成了反推和滑模控制方法。为了进一步提高系统的鲁棒性,在Lyapunov函数的反推设计中引入了一个滑动表面。为了减轻颤动问题,使用饱和函数代替不连续的符号函数。此外,为了避免需要了解外部干扰的界限,推导了在线适应法则。已采用粒子群优化(PSO)算法查找控制器的参数。使用六自由度(DOF)四旋翼飞行器动力学模型进行的仿真表明,该方法即使在存在外部干扰的情况下,在执行稳定和位置控制方面也是有效的。

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