舰载机着舰飞行/推力补偿控制律多目标综合优化设计

Multi Objective Optimization Design for Carrier-Based Aircraft Landing Flight/Thrust Compensation Control Laws

对舰载机着舰飞行/推力补偿综合控制问题进行了研究。在满足飞行品质要求下,为提高飞行/推力补偿系统抗舰尾流干扰能力及着舰下滑航迹的控制精度,提出了一种基于改进粒子群算法的飞行/推力控制律综合优化设计方法,实现了舰载机着舰控制的飞行品质、抗干扰能力及下滑航迹控制精度的综合优化。在算法的搜索过程中,粒子群模拟鸟类捕食过程自适应聚集为多个动态调整的子群,从而有效维持种群的多样性,抑制早熟收敛现象发生。最后,采用美国F/A-18A舰载机参数进行了数值仿真,仿真结果表明,该方法可有效提高控制律优化设计效率,不但能满足期望的飞行品质要求,同时,还可改善系统的抗干扰能力,提高着舰下滑航迹的控制精度。

This paper studies the issue regarding carrier-based aircraft landing flight/thrust compensation integrated control. Under the requirement to ensure flight quality, an integrated optimization design method based on improved particle swarm optimization algorithm is presented for the purpose of improving flight/thrust compensation system＇s ability against ship wake as well as control accuracy of ship landing glide path, thus achieving integrated optimization of flight quality, anti-interference ability and control accuracy of glide path for ship landing control of carrier-based aircraft. In the searching process of algorithm, particle swarm simulates bird＇s catching food process and self adapts to gather multiple sub-swarms with dynamic adjustment, so as to effectively maintain diversity of population and restrain mature convergence. Finally, US F/A-18A carrier-based aircraft＇s data is used for numerical simulation. The result of simulation shows that this method can improve optimization design effecieney of control laws, it not only can meet expected flight quality requirements, but also can improve system＇s ability against interference and control accuracy of ship landing glide path.