| Based on a test line of low-speed maglev train,this paper mainly studies two aspects:(1)The method of improving the accuracy of train operation control;(2)The hardware and software structure of automatic train operation control.Among them,the control accuracy is mainly affected by the speed and location detection system and closed-loop control algorithm.Improving the control accuracy can effectively reduce the train speed fluctuation while tracking speed curve and the inaccuracy of stopping at the station.The automatic operation control system mainly achieve the functions of automatic driving and safety protection of the train,which includes a series of ground equipment and on-board equipment.By formulating practical safety protection measures,train operation safety can be effectively guaranteed from the software level.In order to improve the accuracy of train operation control,this paper firstly analyses the influence of different positioning accuracy of speed measurement and positioning system on speed tracking.Secondly,the influence of the parameters such as air resistance,eddy resistance and suspension air gap on the operation control model is analyzed.Finally,a speed closed-loop controller is designed by using the multi-sensor modified fuzzy PID control algorithm,which can solve the problem of low control accuracy caused by the mismatch of resistance characteristic model at high speed and the limitation of speed measurement and positioning accuracy at low speed.In the research of automatic train operation control system,this paper first designs the hardware and software architecture of the train operation control system.Then the algorithm of automatic train driving curve and safety protection curve based on line parameters is optimized,and a real-time calculation algorithm of speed curve with less storage space is proposed.Finally,a large number of automatic driving experiments are carried out for the maglev operation control system based on MSF-PID,and the speed curve and parking inaccuracy of different control schemes are compared.The above research has a certain practical value for the full autonomy of low-speed maglev train’s control system equipment and technology,and is of great significance for the further development of low-speed maglev train in China. |
