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针对弹性飞机高阶性和鲁棒性要求,研究了自动寻优的H_∞/PID控制器设计方法。以国外某大型飞机12阶模型作为研究对象,利用平衡截断法进行降阶,得到在较宽频段内近似于全阶模型的6阶模型。基于降阶模型,利用粒子群优化算法得到合适的加权函数及PID控制器参数,用于控制全阶模型。仿真结果证明,在系统同时存在参数不确定性和非参数不确定性的情况下,与H_∞混合灵敏度控制器相比,H_∞/PID控制器具有更强的鲁棒性,并能取得更好的时域控制效果。
Aiming at the high-order nature and robustness of elastic aircraft, the design method of H_∞ / PID controller with automatic optimization is studied. Taking the 12th-order model of a large aircraft abroad as the research object, the reduced-order method is adopted to balance the truncation method, and the 6th order model which is similar to the full-order model in a wider frequency band is obtained. Based on the reduced order model, the particle swarm optimization algorithm is used to get the appropriate weighting function and PID controller parameters for controlling the full-order model. The simulation results show that the H_∞ / PID controller is more robust and achieves more robustness than the H_∞ hybrid sensitivity controller in the presence of both parametric and non-parametric uncertainties Good time-domain control effect.