无人机空中加油控制精度问题,无人受油机模型的各种不确定性与来自外部的各种干扰归结为扰动,造成控制精度差.为解决上述问题,提出一种免疫粒子群优化算法的自抗扰无人机自主空中加油飞行控制律设计方法.利用自抗扰控制能够自动检测并补偿内部与外部干扰影响的特点,并利用扩张状态观测器进行估计与补偿,从而增强了所设计飞行控制律的鲁棒性,用免疫粒子群优化算法对自抗扰控制器参数进行了优化研究,以提高设计效率.仿真结果表明,所设计的自抗扰自主空中加油控制系统具有优良的控制性能与较高的控制精度,能够满足无人机自主空中加油的要求.%Because of the uncertainty of the aircraft model and disturbance, the control precision of the UAV autonomous aerial refueling is low. An active disturbances rejection UAV autonomous aerial refueling control method based on PSO - Immune algorithm was presented in this paper. In order to meet the requirement of high precision control, active disturbances rejection control (ADRC) is used to design the autonomous aerial refueling controller. The ADRC is simple algorithm and has strong anti - disturbance ability, so high control precision can be achieved in disturbed situation. PSO - Immune algorithm was used to optimize the parameters of the ADRC. The simulation results show that the controller has good control performance and high control precision.
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