Feedback Linearization LQR Control for Quadcopter Position Tracking

E. Kuantama, I. Ţarcă, R. Ţarcă
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引用次数: 27

Abstract

Non-linear dynamic movement of quadcopter was analyzed using position tracking method in a circular trajectory. The result was used to obtain control system algorithm which can enhance maneuver ability. The control system was modelled into feedback linearization and LQR (Linear Quadratic Regulator) controller, both were used to stabilize quadcopter attitude in the trajectory. Quadcopter behavior while using feedback linearization modeling and LQR control were clearly seen in pitch-roll position in circular trajectory and at the time of bounded disturbance. Wind parameter appraisal was added to boost the robustness. To get optimal result, overall control system was tuned with PID (Proportional Integral Derivative) loop control. The study showed that adjustment of the weight variable on LQR and coefficient on PID resulted in better stability and performance of quadcopter dynamic movement. Overall, control algorithm for modeling had the capability to reject disturbance although small error still occurred in the output trajectories tracking.
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四轴飞行器位置跟踪的反馈线性化LQR控制
采用位置跟踪方法分析了四轴飞行器在圆轨迹上的非线性动力学运动。利用研究结果得到了提高机动能力的控制系统算法。控制系统采用反馈线性化和LQR (Linear Quadratic Regulator,线性二次调节器)控制器建模,两者均用于稳定四轴飞行器在轨迹中的姿态。采用反馈线性化建模和LQR控制的四轴飞行器在圆轨迹的俯仰位置和有界扰动时的行为清晰可见。增加了风参数评价,增强了鲁棒性。为获得最优控制效果,采用比例积分导数(PID)环控制对整个控制系统进行整定。研究表明,调整LQR上的权重变量和PID上的系数,可以提高四轴飞行器动态运动的稳定性和性能。总体而言,建模控制算法具有抑制干扰的能力,但在输出轨迹跟踪中仍然存在较小的误差。
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