本文针对四旋翼无人机飞行姿态系统的非线性强耦合、外界干扰及参数摄动等各种不确定因素影响,提出一种自适应反演滑模控制算法.构造李雅普诺夫函数,证明控制系统的稳定性.其中自适应方法用来对控制系统中不确定的上界进行在线估计,并将估计值补偿到反演滑模控制中,然后,由反演滑模控制实现飞行姿态系统的输出.控制器仿真及实验结果表明,该方法的响应速度快,跟踪误差小,并具有较好的鲁棒性.%To overcome nonlinear and 6-DOF (degrees of freedom) under-actuated problems for the attitude and position of quadrotor UAVs, an adaptive backstepping sliding mode method for flight attitude of quadrotor UAVs is proposed, in which an adaptive law is designed to online estimate the parameter variations and the upper bound of external disturbances and the assessments is utilized to compensate the backstepping sliding mode control. In addition, the tracking error of the design method is shown to asymptotically converge to zero by using Lyapunov theory. Finally, based on the numerical simulation of quadrotor UAVs using the setting parameters, the results show that the proposed control approach can stabilize the attitude and has hover flight capabilities under the parameter perturbations and external disturbances.
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机译：本文针对四旋翼无人机飞行姿态系统的非线性强耦合、外界干扰及参数摄动等各种不确定因素影响,提出一种自适应反演滑模控制算法.构造李雅普诺夫函数,证明控制系统的稳定性.其中自适应方法用来对控制系统中不确定的上界进行在线估计,并将估计值补偿到反演滑模控制中,然后,由反演滑模控制实现飞行姿态系统的输出.控制器仿真及实验结果表明,该方法的响应速度快,跟踪误差小,并具有较好的鲁棒性.%To overcome nonlinear and 6-DOF (degrees of freedom) under-actuated problems for the attitude and position of quadrotor UAVs, an adaptive backstepping sliding mode method for flight attitude of quadrotor UAVs is proposed, in which an adaptive law is designed to online estimate the parameter variations and the upper bound of external disturbances and the assessments is utilized to compensate the backstepping sliding mode control. In addition, the tracking error of the design method is shown to asymptotically converge to zero by using Lyapunov theory. Finally, based on the numerical simulation of quadrotor UAVs using the setting parameters, the results show that the proposed control approach can stabilize the attitude and has hover flight capabilities under the parameter perturbations and external disturbances.
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