基于GSAGA的模糊PID控制在自动油门系统中的应用研究  

Research of Fuzzy PID Control for Auto-throttle Control System Based on GSAGA

作　　者：杨森[1] 王新民[1] 李乐尧[1] 顾晓婕[1] 

机构地区：[1]西北工业大学自动化学院,陕西西安710129

出　　处：《计算机测量与控制》2012年第5期1232-1235,共4页Computer Measurement &Control

摘　　要：针对现代民用飞机非线性和时变的特点,设计了一种用于民机自动油门控制系统的模糊PID控制器;模糊控制器以速度跟踪误差及其微分信号作为输入调节PID控制器的比例、积分及微分参数,进而控制油门开度以调节发动机推力,最终实现对速度的控制;文中进一步采用广义自适应遗传算法(GSAGA)对模糊PID控制器的输出因子进行优化,在着陆模态下采用所设计的优化控制策略与传统模糊PID控制进行了对比仿真,仿真结果显示,在民机自动油门控制系统中基于GSAGA的模糊PID控制器的控制效果优于传统模糊控制方法,仿真结果符合飞行品质指标,控制效果良好。Based on the nonlinear and time varying problems of modern civil aircraft, this paper designed a fuzzy PID controller for the auto lhroltle control system of civil aircraft. The fuzzy controller used the velocity tracking error and its derivative to adjust the proportion- al, integral and differential parameters of PID controller, then controlled the throttle opening to adjust the thrust of engine, finally realized the control of flight speed, and the General Self Adaptive Genetic Algorithm （GSAGA） was used to optimize the output of the fuzzy P1D controller. The designed control strategy and traditional fuzzy PID control strategy was compared under the landing mode, simulation resulls show that the fuzzy PID controller based on GSAGA produces better performance than traditional control strategy, which has good perform- ance and potential application ability for the design of auto--throttle control system of civil aircraft, and the simulation results accordant with the flighl quality index.

关 键 词：自动油门 模糊PID控制 广义自适应遗传算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]