基于线性自抗扰补偿的无人机偏航鲁棒控制

Xiaojun Zhang, Xinghua Lu
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引用次数: 1

摘要

无人机在带载飞行中受到较大驱动功率的影响,容易产生偏航,导致飞行轨迹误差,因此需要对其进行修正,以提高无人机的控制性能。提出了一种基于线性自抗扰偏航静态饱和补偿的无人机控制方法。以俯仰力矩、滚动力矩和偏航作动器驱动力等参数作为约束指标。建立了无人机偏航控制对象模型,建立了无人机的平移动力学和旋转动力学模型,根据无人机姿态运动机理分析了无人机的滚动传递动力学,建立了无人机偏航控制器的结构模型。根据飞行姿态观测,设计了偏航系统的线性自抗扰控制器。分析了转子力矩与电机转速的关系。采用线性自抗扰偏航静态补偿方法对无人机的位置和姿态参数进行跟踪。实现了偏航轨迹的抗饱和补偿,设计了静态抗饱和补偿器,提高了无人机的稳态跟踪能力。仿真结果表明,该方法能够实时修正无人机的轨迹,有效抑制饱和误差。抑制了偏航作动器的姿态扰动,最终实现了预期的偏航角,提高了无人机的飞行控制鲁棒性。
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Yaw Robust Control of UAV Based on Linear Auto-Disturbance Rejection Compensation
The UAV is affected by more driving power in the flight with load, it is easy to produce yaw, which leads to the error of the flight trajectory, so it needs to be modified to improve the UAV control performance. A control method for UAV based on static saturation compensation of linear auto disturbance rejection yaw is proposed. The parameters such as pitch torque, rolling moment and the driving force of yaw actuator are used as the constraint index. The model of UAV yaw control object is constructed, the translational dynamics and rotational dynamics models of UAV are constructed, the rolling transfer dynamics of UAV is analyzed according to the attitude motion mechanism of UAV, and the structure model of yaw controller is established. The linear ADRC controller of yaw system is designed according to the flight attitude observations. The relationship between rotor rotation moment and motor speed is analyzed. The static compensation method of linear auto disturbance rejection yaw is used to track the position and attitude parameters of UAV. The anti-saturation compensation of yaw trajectory is realized, and the static anti-saturation compensator is designed to improve the steady-state tracking ability of UAV. The simulation results show that the proposed method can correct the trajectory of the UAV in real time and suppress the saturation error effectively. The attitude disturbance of the yaw actuator is restrained, and the expected yaw angle is finally achieved, and the flight control robustness of the UAV is improved.
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