| As the growth of the railway freight transportation demand corresponding put forward higher requirements to railway transportation ability. Load increases with the length of the train increases, the use of the existing air braking system has weaken synchronization and low braking accuracy, as a result, makes the train longitudinal impulse, easily causes the broken hook, derailment accidents. Heavy-haul trains braking process are analyzed in this paper, and studies the three parts of fuzzy predictive control system, which is the fuzzy prediction model is established, the rolling optimization processes and feedback correction link. On the basis of the original three of the above links to improve optimization, specific works are as follows:The working mechanisms of heavy-haul trains braking control system and key links are analyzed in this part, and its core part is brake cylinder, is a nonlinear, time-varying and delay control object, and the modeling method based on T-S fuzzy model, on the premise of guarantee the rapid identification to improve the identification accuracy. Established fuzzy predictive control system model of brake cylinder, stability of the system was proved. Design a suitable for heavy-haul brake cylinder control controller, the controller is mainly used a fuzzy predictive control model, based on recursive augmented group selection strategy,optimization of the least squares algorithm to optimize the initial data. And fuzzy particle swarm optimization method, is put forward with the fuzzy optimization strategy of predictive control rolling optimization method, reduce the random interference on the effect on the stability of the combination of train locomotives braking control system. Through the error elimination method based on neural network model to eliminate the high speed electric valve caused by movement hysteresis dead-zone time, mainly to reduce the influence of high speed electric valve dead-zone time and delay problems on braking air cylinder of compressed in the process of gas change.Finally, the braking system based on improved fuzzy predictive control algorithm for the simulation analysis, the simulation shows that the cylinder pressure control showed good results. Reducing the influence of nonlinear factors, at the same time, the response of the pressure control more controllable and at the same time the algorithm has obvious advantages in the aspect of improving system stability, and has high precision and fast convergent characteristic. |
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