Research On Modeling Of Traction Control System And Control Strategy Based On Train Communication Network

With the network control system is widely used in high-speed EMUs and urban railtransit train, the networked traction control system as a function of relatively independentcontrol system is to ensure that EMU safe, reliable and stable operation of criticalsystems.The core device of networked traction control system is the asynchronous tractionmotor.The functions of networked traction control system is to achieve networkedasynchronous traction motor control.The traction control system performance andasynchronous traction motor nonlinear control problems are expected to be solved after thenetwork is introduced into traction control system.By combining the network control systemanalysis methods and traction motor decoupling control method, research on the networkedtraction control system modeling and control strategies of asynchronous traction motor toachieving high-performance traction motor control under network conditions has of greattheoretical and application value.In order to solve nonlinear problems of asynchronous traction motor to achievelinearization decoupling control, the MIMO continuous, discrete nonlinear system and itsgeneralized inverse system of reversible conditions and inverse system construction methodare be deduced and proved.This method provides a theoretical basis for the traction motorlinearization decouple by using generalized inverse system.The reversible analysis is given for fifth-order nonlinear state-space model of the tractionmotor which base on the stationary coordinate system.The traction motor multivariableinput-output linearization decoupling is achieved by constructing a generalized generalizedinverse system.The zero dynamics of the decoupling process are analyzed.Consider the caseof mathematical model of the traction motor parameters are unknown or generalized inversesystem is difficult to strike, the least squares support vector machines is combined with thegeneralized inverse system by using ability of complex nonlinear function approximation.Astateless feedback LS-SVM generalized inverse decoupling method is presented and theexistence theorem of LS-SVM generalized inverse system is proved for MIMO nonlinearsystems.This method has the better tracking performance and accuracy than general LS-SVMinverse systems approach through simulation analysis.The structure of the train network control system based on TCN are analyzed.The traincommunication network is introduced into the traction control system to establish thenetworked traction control system model which have uncertain network delay and limitedenergy unknown disturbances.Combining the analysis of robust control structure in networked traction control system,the simulation model of traction inverter and networked traction control system are established.The multivariable decoupling control effect and uncertain delay on the impact ofnetwork control system are analyzed by simulation under traditional control strategies.Anoutput feedback robust H∞guaranteed cost network control strategy is proposed and provedfor compensation effect of uncertain network delay and limited energy unknowndisturbances.The simulation model of networked traction control system under robust controlis established.Through simulation analysis shows that the output feedback robust H∞guaranteed cost controller can better compensate for network delay and uncertaintydisturbance on the impact of the traction control system.This network control strategies isbetter to meet the high-performance control requirements of traction motor in networkenvironment.