摘要
地面实验表明 ,采用传统PID(Proportional Integral Differential)控制方法的飞机环境控制系统不能很好的解决电子设备和座舱的温度控制问题 .采用了基于遗传算法优化的模糊控制方法 ,根据系统不同的工作任务 ,分别采用了 2种模糊控制规则 .通过优化输入输出变量的隶属度函数参数 ,使得新的模糊控制系统具有响应快、超调小、稳态精度高的特点 .仿真表明 ,该模糊控制系统优于原系统并且能够满足飞机环境控制系统的设计要求 .
Ground-tests proved that aircraft ECS (environmental control system) with conventional PID (proportional-integral-differential) controlling means could not refrigerate the electronic equipment and cabin satisfactorily. A new fuzzy control model is proposed which consists of some membership functions expressed by triangle function or trapezoid function. According to ECS operation tasks, two different fuzzy control rule bases are adopted in system process control. Genetic algorithm is utilized for tuning the parameters of the membership functions of the antecedent and the consequent. Compared computer simulation with ground-tests, the aircraft ECS with new fuzzy controller could satisfy aircraft system design demands. And it is demonstrated that the new fuzzy controlling means based on genetic algorithm is more stable and faster than PID controlling means in the existing system.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2004年第12期1151-1154,共4页
Journal of Beijing University of Aeronautics and Astronautics
基金
航空科学基金资助项目 (0 1E5 10 80 )
关键词
模糊系统
控制
飞机环境控制系统
遗传算法
Cabins (aircraft)
Computer simulation
Design
Electronic equipment
Fuzzy control
Genetic algorithms
Mathematical models
Membership functions
Process control
Three term control systems
