直升机H∞鲁棒控制器的优化设计及仿真

为满足ADS-33E所规定的操纵品质要求,有效克服模型不确定性的影响,提出了一种基于遗传算法的直升机H∞鲁棒控制器设计方法。首先把ADS-33E频域操纵品质指标和时域指标的设计要求转换为不等式约束,在此基础上应用多目标遗传算法自动搜索满足指标要求的最优鲁棒加权函数阵,进而得到最优H∞鲁棒控制器。最后,应用上述方法设计了某型直升机横侧向H∞鲁棒控制器,仿真结果和性能分析表明,控制器具有良好的鲁棒性和操纵品质,表明了该方法的有效性。

Abstract：

A novel H∞ robust flight controller design method for a helicopter was proposed based on multiple objective genetic algorithm （MOGA）,in order to satisfy handling qualities requirements of ADS-33E and overcome inferior effect of model uncertainty. Requirements of time-domain and ADS-33E were described as inequality constraints,and MOGA was used to obtain optimal weighting functions matrices. Afterwards,optimal H∞ robust controller,which satisfied corresponding time-domain and frequency-domain requirements,was synthesized. Finally,H∞ robust controller for a certain helicopter＇s lateral motion was synthesized,and the simulation results and performance analysis show that the controller is of preferable robustness and handling quality.