基于参数空间寻优的超低空空投L1自适应控制器参数优化
Parameter optimization of ultra-low-altitude airdrop L1 adaptive controller based on parameter space investigation
摘要点击 90  全文点击 84  投稿时间:2017-10-20  修订日期:2018-04-17
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DOI编号  10.7641/CTA.2018.70762
  2019,36(2):327-336
中文关键词  超低空空投,L1自适应,参数空间寻优,Pareto最优解,任务性能
英文关键词  Ultra-low-altitude airdrop, L1 adaptive control, Parameter Space Investigation, Pareto optimal, task performance
基金项目  航空科学基金项目(20141396012)
学科分类代码  
作者单位E-mail
毛瑜昊 空军工程大学 542464123@qq.com 
董文瀚 空军工程大学 dongwenhan@sina.com 
朱家海 空军工程大学  
畅锦永 空军工程大学  
刘日 空军哈尔滨飞行学院理论训练系空中领航教研室  
中文摘要
      针对基于L1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L1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三个参数进行优化,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”,L1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。
英文摘要
      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.