Cooperative control of aircraft anti-skid braking and deflection correction based on balance-compensated sliding mode strategy
WANG Yuan-fei
DU Cheng-long
PENG Hao
LI Fan-biao
GUI Wei-hua
Abstract：This paper proposes a cooperative control method of anti-skid braking and runway correction based on the adaptive neural network and balance-compensated sliding mode strategy.It addresses issues such as unknown runway conditions,wheel skidding,crosswind disturbance,and asymmetric braking that impact the safety and reliability of aircraft ground maneuvers.Firstly,the asymmetric dynamics model of aircraft-on-ground braking is established,considering cross-wind disturbance and the coupling of lateral and longitudinal moments during actual braking.On this foundation,an online runway identification method based on the fluctuation range of the tire-runway adhesion coefficient is introduced,resolv-ing the challenge of online identification in changing runway conditions.Additionally,an adaptive radial basis function(RBF)neural network is designed to estimate unknown crosswind disturbances.A co-design method is proposed,based on the balance-compensated sliding mode strategy.This method enables front wheel turning-based runway correction and bilateral main wheels'differential balance compensation,allowing for cooperative control of anti-skid braking and runway correction under crosswind disturbances.Experimental simulations demonstrate that the control strategy proposed in this paper effectively prevents wheel skidding and mitigates runway deviations.It also enhances aircraft braking efficiency,thus improving the reliability and safety of aircraft ground maneuvers.
Keywords：aircraft anti-skid braking systemsliding mode controlcooperative control of braking and deflectionrunway identificationneural networks
Publication Date：2025-03-31
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：13( 442-454 )