具有较大鲁棒度的歼击机容错控制  

Fault-tolerant controller for fighter aircraft with big robustness

作　　者：夏莹[1] 胡寿松[1] 

机构地区：[1]南京航空航天大学自动化学院,南京210016

出　　处：《电光与控制》2008年第2期8-12,46,共6页Electronics Optics & Control

基　　金：国家自然科学基金重点项目(60234010);国防基础科研项目(K1603060318);航空科学基金(05E52031)

摘　　要：针对复杂非线性系统被动容错控制问题,提出将AREs与小生境遗传算法相结合的方法。在T-S建模的基础上,这种方法用于搜寻最优控制器。在小生境遗传算法中提出了交叉变异概率的自适应调整律,克服遗传算法早熟的缺点。为了消除T-S建模误差,应用在线可调且具有补偿项的RBFN来消除建模误差。歼击机在多种故障下的仿真表明,此方法能够实现很好的容错控制效果。According to the problem of designing a passive fault-tolerance controller for the complicated nonlinear system, a method is proposed which combines the AREs iterative algorithm and the niche genetic algorithm to search for the best controller based on the T - S modeling. The adaptive law of crossover ratio and mutation ratio is proposed to overcome the prematurity characteristics of traditional GA. To weaken the effect of modeling error, ARBFN is used, which can be adjusted on-line and has a compensation item. Simulation on the fighter aircraft under two serious actuator faults showed that it can obtain nice fault tolerant controlling effect.

关 键 词：歼击机 容错控制 AREs 小生境遗传算法 自适应交叉(变异)概率 RBFN 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TP183[自动化与计算机技术—控制理论与控制工程]