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将自适应神经模糊推理系统应用到高速列车制动控制当中,实现了高速列车制动过程的智能控制,具有控制安全性好,停车误差小,同时在模拟人操作方面有很好的效果。并且在MATLAB环境中进行了仿真研究,将ANFIS与SIMULINK有机地结合在一起,充分地发挥了各自的优势,简化了仿真过程。仿真结果表明了该方法的有效性与正确性。
The adaptive neuro-fuzzy inference system is applied to the high-speed train brake control to realize the intelligent control of the high-speed train braking process with good control safety, small parking error and good effect in simulating human operation. And in the MATLAB environment simulation study, the combination of ANFIS and SIMULINK organically, give full play to their respective advantages and simplify the simulation process. The simulation results show the validity and correctness of this method.