Application Research On Multiple-model Predictive Control In Automatic Train Operation System For High-speed Trains

The design of speed controller is the key to research the Automatic Train Operation(ATO) system in the high-speed trains; the positioning and velocity tracking of speedcontroller is also a core function in train control system. The control of high-speed trains isdifferent from urban rail transit, and it is difficlut to meet the requirements of modeling withcomplicated nonlinear dynamical system based on conventional modeling methods so that theATO system in urban rail transit cannot be directly used in high-speed trains. Therefore thehigh-speed train ATO system can replace human operators and improve the driving strategyand the performance of train operation. According to the characteristics of high speedmultiple units operation process, multi-model predictive control theory is applied in the studyof the high-speed train modeling and control methods. The main contents of the thesis aresummarezed as follows:Firstly,by comparing the structure and function of Chinese Train Control System-3(CTCS-3) with Communication Based Train Control (CBTC) of urban rail transit, the thesisprovides the functional requirements. Then the specific program of adding ATO subsysteminto the exsiting train control system is proposed and the optimal control principles of ATOsystem and its performance indicators are analyzed.Secondly,the model of speed controller of ATO system for high-speed trains isresearched by multi-model strategy and its control method. On the basis of the nonlinearcharacteristics, the numbers of multi-model are determined by subtraction clusteringalgorithm and cluster validity evaluation; then, the task is to identify the parameters of traincontrol system with the recursive least squares mentod near each working point, and thecorresponding linear model is bulit. Consequently the linear multi-model representation oftrain movement process can be received.Thirdly,a stair-like generalized predictive control algorithm based on multiple modelsswitching is proposed, which can be applied in high-speed train ATO system. Meanwhile,according to the optimal control principles and the line model, the train operation targetcurves are determined, and the speed controller based on multiple-model stair-like generalizedpredictive control algorithm is designed.Finally,to verify the effectiveness of the methods above, simulation study has beencarried. Simulation results show that the proposed methods are better satisfied with the needsof high presicion tracking control, the control effect is superior to the normal linear stair-likegeneralized predictive controller, and can readily accommodate itself to the train operationparameters vareations.