基于非线性扰动观测器的四旋翼姿态控制
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江苏理工学院机械工程学院

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江苏省基础研究计划(自然科学基金)资助项目(BK20170315),江苏省教育厅自然科学项目(SJCX19_0697)资助


Attitude Control for a Quadrotor based on Nonlinear Disturbance Observer
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    摘要:

    针对存在模型不确定性和未知外界干扰下四旋翼飞行器的姿态控制问题,提出了一种基于非线性扰动观测器的快速连续非奇异终端滑模控制策略。该方法通过非线性扰动观测器对外界干扰及系统不确定性进行平滑估计和补偿,提高系统的稳定性;利用非奇异终端滑模面有限时间收敛的特性设计控制律,保证系统的快速收敛;应用Lyapunov函数证明控制器的稳定性。对四旋翼的飞行动力学特征进行研究,推导出飞行动力学模型。引入人工蜂群算法来优化控制器中的参数,实现最优控制。最后,通过两个数值仿真实例验证了该控制器的有效性。结果表明:与其他控制算法相比,本文所提控制算法在收敛速度、跟踪精度及扰动估计精度方面均优于其他控制算法,具有一定的工程应用价值。

    Abstract:

    Towards the attitude control of quadrotor aircraft with model uncertainties and unknown external disturbances, this paper proposed a fast-continuous nonsingular terminal sliding mode control strategy based on nonlinear disturbance observer. In this controller, a nonlinear disturbance observer was used to estimate and compensate the disturbances, which improved the stability of the system. In view of the finite time convergence characteristics, the non-singular terminal sliding mode surface was adopted to design the control law so that it improved the convergence rate of the controller. The Lyapunov function was applied to prove the stability of the controller. Then, the flight dynamics of quadrotor were analyzed and the dynamical model was established. Meanwhile, an artificial bee colony algorithm was introduced to optimize the parameters in the controller and to enhance the control performance. Finally, two numerical simulation cases were conducted to demonstrate the effectiveness of the proposed controller. All the results had shown that compared with other control algorithms, the proposed control algorithm was superior to others in terms of convergence speed, tracking accuracy and disturbances estimation ability, which had an engineering application value.

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  • 收稿日期:2019-06-09
  • 最后修改日期:2019-07-28
  • 录用日期:2019-08-07
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