摘要
在应用模糊逻辑建模与辨识方法建立微下击暴流风切变模型的基础上 ,根据恒定俯仰姿态改出微下击暴流的飞行引导策略 ,提出了一种改出微下击暴流风切变的模糊反馈控制系统 ,并将遗传算法应用于该模糊逻辑控制器的设计。结果表明 ,本文提出的建模方法能够更真实地反映出飞机穿越微下击暴流风场的动态特性 ;采用模糊逻辑控制器 ,可使得飞机在穿越微下击暴流风场时具有较好的改出性能 ;另外 ,遗传算法的应用对已设计的模糊逻辑控制器进行了优化 ,进一步改善了飞机穿越微下击暴流的性能。
A microburst windshear is modeled using a technique of fuzzy logic method. Based on the model and the constant pitch guidance strategy for microburst windshear recovery, a feed back fuzzy control system is suggested for microburst recovery and genetic algorithm is applied to the design of fuzzy logic controller. Results show that the dynamic qualities of the airplane under microburst can be well displayed by the modeling method. By using the fuzzy logic controller, the airplane can recover from a microburst windshear with the better recovery qualities. In addition, genetic algorithm optimizes the design of the controller and the airplane performances are further improved.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2002年第5期479-483,共5页
Journal of Nanjing University of Aeronautics & Astronautics
关键词
飞机
风切变
智能控制
微下击暴流
模糊逻辑
遗传算法
low altitude windshear
microburst
intelligent control
fuzzy logic
fuzzy control
genetic algorithm
