基于微分跟踪器的共轴反桨无人机串级TD-PID控制算法

针对传统PID控制算法对共轴反桨无人机的欠驱动、强耦合非线性系统控制效果不理想的问题，提出基于微分跟踪器的串级TD-PID控制算法，以提高无人机飞行稳定性. 设计共轴反桨无人机飞行系统，针对无人机的姿态控制提出基于微分跟踪器的串级TD-PID控制算法：外环为传统PID算法，内环使用2个微分跟踪器，通过串级控制改善系统动态性能. 在Matlab/Simulink中搭建控制系统的仿真模型进行仿真试验. 仿真结果表明：相较于传统串级PID控制算法，所提控制算法超调量更小，系统稳定性有较大提高. 对比串级TD-PID控制算法与串级PID控制算法控制效果的飞行试验结果表明：所提控制算法能有效减少系统超调量，提升系统稳定性和抗干扰能力.

Cascade TD-PID control algorithm for coaxial anti-propeller unmanned aerial vehicle based on tracking differentiator

A cascade TD-PID control algorithm based on the tracking differentiator was proposed to improve unmanned aerial vehicle (UAV) flight stability, in view of the problem that the traditional PID control algorithm was not ideal for the under-driven and highly coupled nonlinear system control effect of coaxial anti-propeller UAV. The coaxial anti-propeller UAV flight system was designed, and the cascade TD-PID control algorithm based on the tracking differentiator was proposed for the attitude control of the UAV. The outer loop was the traditional PID algorithm, and the inner loop used two tracking differentiators to improve the dynamic performance of the system through cascade control. The simulation model of the control system was set up in Matlab /Simulink for simulation testing. Simulation results show that compared with the traditional cascade PID control algorithm, the overtone of the proposed control algorithm is smaller , and the system stability is greatly improved. The control effect of cascade TD-PID control algorithm and cascade PID control algorithm was compared through flight test. Test results show that the proposed control algorithm can effectively reduce the system overtone, and improve system stability and anti-jamming ability.