摘要
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 neural-fuzzy inference system is applied in the braking control of the high-speed train in this paper, which realizes the intelligent control during the high-speed train braking course and has good effect on simulating man operation. The control security is good and the parking error is little. Simulation is studied in the MATLAB circumstance, where ANFIS and SIMULINK are combined organically to make full use of the advantages of both and simplify the simulation course greatly. The simulation result shows that this method is effective and accurate.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2005年第3期113-117,共5页
Journal of the China Railway Society
