基于参数空间寻优的超低空空投L_1自适应控制器参数优化  

Parameter optimization of ultra-low-altitude airdrop L_1 adaptive controller based on parameter space investigation

作　　者：毛瑜昊 董文瀚[1] 朱家海[1] 畅锦永 刘日 MAO Yu-hao;DONG Wen-han;ZHU Jia-hai;CHANG Jin-yong;LIU Ri(College of Aeronautics and Astronautics Engineering,Air Force Engineering University,Xi’an Shaanxi 710038,China;Theory Training Department,Air Force Harbin Flight Academy,Harbin Heilongjiang 150000,China)

机构地区：[1]空军工程大学航空航天工程学院,陕西西安710038 [2]空军哈尔滨飞行学院理论训练系,黑龙江哈尔滨150000

出　　处：《控制理论与应用》2019年第2期327-336,共10页Control Theory & Applications

基　　金：航空科学基金项目(20141396012)资助~~

摘　　要：针对基于L_1自适应控制的超低空空投纵向控制器,利用基于参数空间寻优(parameter space investigation,PSI)的多准则优化方法,以空投任务性能等级为指标,对L_1自适应控制器中状态估计器短周期阻尼比、自然频率以及低通滤波器带宽这3个参数进行优化,通过两次迭代,最终求得合适的Pareto最优解以完成参数优化的过程.仿真验证了参数寻优过程的有效性和适用性,证明了经参数优化后,超低空空投任务性能等级由"适度"改善至"期望", L_1控制器的动态性能和鲁棒性能提升显著,可有效保证运输机的安全性和空投任务的顺利完成.Aiming at the ultra-low-altitude airdrop longitudinal controller based on the L1 adaptive control, by utilizing the multi-criterion optimization method based on the parameter space investigation (PSI), taking the airdrop task performance grade as an index, the three parameters, including the state predictor short period damping ratio, the state predictor short period natural frequency and the low pass filter bandwidth, of an L1 controller are optimized in this paper. Finally, the proper Pareto optimal solution is determined through twice iterations to complete the optimization process. Through the simulation results, the validity and applicability of the optimization process is verified and the ultra-low-altitude airdrop task grade is improved into expectation from moderation through the optimization process. The transient performance and the robustness margins of the L1 adaptive controller are significantly improved which can ensure the security of the transport aircraft effectively and the completion of the airdrop mission successfully.

关 键 词：超低空空投 L1自适应控制 参数空间寻优 PARETO最优解 任务性能 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]