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基于参数整定的系留式无人机自抗扰控制器设计

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针对空地异构机器人中系留式无人机遭受线缆干扰的情况,设计了一种基于粒子群优化算法的参数自适应整定方法的自抗扰控制器.建立了系留式无人机的运动学和动力学模型,并针对线缆干扰设计了自抗扰姿态控制器;利用时间绝对误差积分性能指标作为粒子群算法的优化目标和适应度函数,经过粒子群算法的优化得到参数值,并将其应用于姿态控制器;与传统PID姿态控制器和基于非线性扰动观测器的PID姿态控制器以及手动调参的自抗扰控制器进行了控制效果对比.结果显示通过粒子群优化算法整定参数的自抗扰控制器的抗干扰能力相对其他控制器超调更小,受到线缆干扰时抖动更小,系留式无人机在该控制器下能够平稳地跟踪无人车的轨迹.
Design of Active Disturbance Rejection Controller for Tethered Unmanned Aerial Vehicle Based on Parameter Tuning
An active disturbance rejection controller with parameter adaptive tuning based on particle swarm optimization algorithm(PSO)was designed to solve the problem of cable interference in tether unmanned aerial vehicles(UAVs)in air-ground heterogeneous robot.The kinematics and dynamics models of the tethered UAV were established,and the active disturbance rejection attitude controller was designed for cable interference.The time absolute error integral performance index was used as the optimization objective and fitness function of PSO,and the parameter values optimized by PSO optimization were applied to attitude controller.The controller proposed in this article was compared with traditional PID attitude controller,PID attitude controller based on nonlinear disturbance observer and auto-disturbance rejection controller with manual tuning.The results show that the anti-interference ability of the active disturbance rejection controller with parameter tuning using PSO is relatively smaller in overshoot than other controllers,and it has less jitter when receiving cable interference.The tethered UAV can smoothly track the trajectory of the unmanned vehicle under this controller.

Tethered unmanned aerial vehicleActive disturbance rejection attitude controllerParticle swarm optimizationParameter tuning

周崭、陈志刚、李箫、宿浩翔

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西南科技大学信息工程学院 四川绵阳 621010

中国空气动力研究与发展中心计算空气动力研究所 四川绵阳 621000

系留式无人机 自抗扰姿态控制器 粒子群优化算法 参数整定

2024

西南科技大学学报
西南科技大学

西南科技大学学报

影响因子:0.348
ISSN:1671-8755
年,卷(期):2024.39(4)