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《Electronics Optics & Control》 2008-05
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Application of iterative learning control in aircraft all-electric braking system

ZHANG Xing-guo1,LIN Hui1,ZHANG Tong2,LU Jiu-li3 (1.College of Automation,Northwestern Polytechnical University,Xi'an 710072,China;2.Military Representative Office of the Navy in Luoyang,Luoyang 417009,China;3.Xi'an Aviation Braking Science and Technology Ltd.,Xi'an 710036,China)  
Compared with hydraulic braking,aircraft all-electric braking system has some superior advantages,and becomes the development direction of aircraft braking system.Considering the disadvantages of controlling strategy of current hydraulic braking system and the characteristics of all-electric braking system,we built up the whole system's nonlinear state equation,whose state variables are longitudinal speed and slip ration and output variable is slip ration.According to the relationship between slip ratio and friction coefficient,the system can identify on line the largest friction coefficient and the optimal slip ratio under different road conditions.On the basis of classical PI controller,we introduced a D-type iterative learning feed-forward controller to improve system's rapid tracking performance,and used the optimal slip ration as the desired output of the iterative learning controlling.Through the simulation to dry runway state,we can conclude that the system with iterative learning control can satisfy the performance of aircraft all-electric braking system,which has great improvement on braking time,braking distance and braking efficient and also has excellent convergence speed,stability and tracking capability.
【Fund】: 航空科学基金(04F53036)
【CateGory Index】: V227.7
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