免疫模糊控制算法在飞机防滑刹车系统中的应用研究  

Study on Aircraft Anti-skid Brake System Based on Immune Fuzzy Control Algorithm

作　　者：刘泽华[1] 李振水[1] 贾爱绒[1] 

机构地区：[1]中航工业第一飞机设计研究院,陕西西安710089

出　　处：《计算机测量与控制》2009年第8期1562-1564,1582,共4页Computer Measurement &Control

摘　　要：提出一种基于免疫进化原理的模糊控制优化算法,该方法利用免疫进化算法对模糊控制规则和隶属函数参数进行独立编码,分步联合优化,有效降低了待寻优参数的维数,提高了寻优的速度和精度;以某型飞机为例,针对不同的跑道(干、湿、冰)情况,将该控制方法在MATLAB环境下进行了数字仿真;仿真结果表明:基于免疫进化原理的模糊控制优化算法,在飞机的防滑刹车控制中,具有很好的刹车效果和较强的鲁棒性;采用基于免疫进化原理的模糊控制优化算法可以大大地提高飞机防滑刹车效率,为飞机防滑刹车系统的控制方法提供一条新的思路。By use of immune evolutionary algorithm, a new optimal method of fuzzy controller was presented. Fuzzy control rules and parameters of member functions are encoded respectively, and then integrated optimization is carried out ste Pby step, which leads to decrease in dimension of optimal parameters and increase in optimal speed and precision. Take a type of aircraft for example, with different runway condition （dry/wet/ice）, the computer numeral simulation with MATLAB is established. Compared the control performance of traditional PID control with PID control based on fuzzy immune evolutionary algorithm, the result show that PID control with fuzzy immune evolutionary algorithm method can achieve a more ideal control effect and has a stronger robust characteristic than traditional PID control, and the braking efficiency has been improved greatly by controlling wheel slid--ration, it has provided a new way for controlling aircraft anti--skid braking system.

关 键 词：免疫原理 飞机防滑刹车 模糊控制 仿真 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]