摘要
针对新型战机高空高速俯冲及俯冲转平飞情况下带来的座舱压力控制难题,提出一种飞机座舱压力专家模糊PID预控方法。在飞机高速俯冲时,基于压力调节系统时间延迟及飞机高度变化率改进常规模糊PID控制策略并提高座舱压力调整速度;在飞机状态转换时,利用专家控制器根据知识库及状态转换时间预测调整模糊PID控制策略,并引入重置机制以改善调整性能。经过知识库的动态学习,得出飞机状态转换时,采用模糊PID控制、模糊预控、重置PID控制参数的专家控制策略具有最佳的控制效果的结论。通过仿真实验验证了该方法的有效性。
In view of the problem of cabin pressure control caused by the high-speed diving and turning to level off of new combat,this paper proposes an expert fuzzy PID predicted control method for cabin pressure.In the high-speed diving process,this method improved the conventional fuzzy PID control strategy and improved the cabin pressure adjustment speed based on the time delay of the pressure regulation system and the aircraft altitude change rate.In the conversion process of flight state,the expert controller was used to adjust the fuzzy PID control strategy according to the knowledge base and state transition time prediction,and the reset mechanism was introduced to improve the adjustment performance.Through the dynamic learning of knowledge base,it is concluded that the expert control strategy of fuzzy PID control,fuzzy predicted control and reset PID control parameters has the best control effect.The effectiveness of the proposed method is verified by simulation experiments.
作者
关喜峰
Guan Xifeng(Avic Aircraft Co.,Ltd.,Xi’an 710089,Shaanxi,China)
出处
《计算机应用与软件》
北大核心
2021年第4期101-105,203,共6页
Computer Applications and Software
关键词
座舱压力
专家控制
知识库
模糊PID控制
预控
Cabin pressure
Expert control
Knowledge base
Fuzzy PID
Predicted control
