Chu Xingjun, Fan Yuqing. Studies on the Product Data Management Based on Web[J]. Journal of Beijing University of Aeronautics and Astronautics, 1999, 25(2): 204-207. (in Chinese)
Citation: Li Fengyu, Jiao Zongxia. Adaptive control for aircraft anti-skid braking system based on friction force model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(4): 447-452. (in Chinese)

Adaptive control for aircraft anti-skid braking system based on friction force model

  • Received Date: 30 Nov 2012
  • Publish Date: 30 Apr 2013
  • The improvements of aircraft braking system reliability and efficiency are important for the safety promotion of a whole flight circle. The aircraft tire/runway friction force varies significantly on different types of runways (dry and wet, etc.), materials (asphalt and soft ground, etc.) and temperatures. This affects the braking control efficiency and even the effectiveness. The velocity correlative dynamic LuGre friction force model was introduced to describe the friction force, which could give a projective mapping from the physical unknown runway state to mathematical model with parametric uncertainties, and then the runny state could be detected through parameter estimations. Firstly, the fuselage and aircraft wheel were modeled and the state observers were employed to estimate the unmeasurable internal friction states of the friction force model. The estimates were substituted into the parameter adaptive law to obtain the current runny state. Then the online calculation of pseudo-static friction force model was applied to obtain the maximum friction coefficient and its slip rate. This slip rate was set as the tracking target for the well-designed feed-forward controller based on the feedback linearization method. At last, the simulation results were shown to prove the control effects.

     

  • [1]
    王记森.非线性控制理论在防滑刹车系统中的应用研究 .西安:西北工业大学自动控制系,2001 Wang Jisen.Nonlinear control thoery and its application to aircraft antiskid brake system .Xi’an:Department of Automatic Control,Northwestern Polytechnical University,2001(in Chinese)
    [2]
    汤传业.飞机防滑刹车系统仿真研究 .西安:西北工业大学机械电子工程系,2007 Tang Chuanye.Studies on aircraft anti-skid braking system simulation .Xi’an:Department of Automatic Control,Northwestern Polytechnical University,2001(in Chinese)
    [3]
    李玉忍,马瑞卿,薛晶,等.飞机防滑刹车系统的变结构控制研究[J].西北工业大学学报,2008,26(6):752-754 Li Yuren,Ma Ruiqing,Xue Jing,et al.Improving variable structure control of aircraft anti-skid brake system[J].Journal of Northwestern Polytechnical University,2008,26(6):752-754(in Chinese)
    [4]
    何恒,吴瑞祥.改进的BP神经网络在飞机防滑刹车系统的应用[J].北京航空航天大学学报,2004,30(6):561-564 He Heng,Wu Ruixiang.Improved BP neural network in design of aircraft antiskid braking system[J].Journal of Beijing University of Aeronautics and Astronautics,2004,30(6):561-564(in Chinese)
    [5]
    田广来,谢利理,岳开宪,等.飞机防滑刹车系统的最佳滑移率式控制方法研究[J].航空学报,2005,26(4):461-464 Tian Guanglai,Xie Lili,Yue Kaixian,et al.Study on optimal control method of an aircraft anti-skid braking system based on slip-ratio[J].Acta Aeronautica et Astronautica Sinica,2005,26(4):461-464(in Chinese)
    [6]
    李波,焦宗夏.飞机防滑刹车系统关键技术研究 .北京:北京航空航天大学自动化科学与电气工程学院,2008 Li Bo,Jiao Zongxia.Studies on the key technology of aircraft brake system .Beijing:School of Automation Science and Electrical Engineering,Beijing Univercity of Aeronautics and Astronautics,2008(in Chinese)
    [7]
    Pacejka H B,Sharp R S.Shear force development by pneumatic tyres in steady state conditions:a review of modeling aspects[J].Vehicle System Dynamics,1991,20(3/4):121-175
    [8]
    de Wit C C.Dynamic tire friction models for vehicle traction control //Decision Control.Phoenix:IEEE,1999:3746-3749
    [9]
    de Wit C C,Tsiotras P.Observers for tire/road contact friction using only wheel angular velocity information //Decision Control.Phoenix:IEEE,1999:3932-3937
    [10]
    Yi J,Alvarez L,Claeys X,et al.Adaptive emergency braking control in automated highway system using a dynamic tire/road friction model //Decision Control.Sydney:IEEE,2000:456-461
    [11]
    Tan Yaolong,Ioannis Kanellakopoulos.Adaptive nonlinear friction compensation with parametric uncertainties //The American Control Conference.San Diego:AACC,1999:2511-2513
    [12]
    Chen Bihua,Ge Shuzhi,Wang Chengwen.Robust adaptive neural network control of aircraft braking system //Industrial Informatics.Beijing:IEEE,2012:740-745
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