基于模糊预测控制的机车制动控制方法

Locomotive brake control method based on fuzzy predictive control

为了减少模型参数、噪声耦合和随机性干扰对机车制动控制系统控制精度和稳定性的影响,提出1种基于模糊预测控制的制动控制方法,利用基于满意度的T-S模糊建模方法建立精确的预测模型。研究结果表明:通过模糊遗传算法进行滚动优化,获得全局最优解作为预测控制控制器的输出,进而提高系统控制快速性和稳定性,仿真结果验证了该方法的有效性。

In order to reduce the influence of the model parameters,the noise coupling and the random interference on the control precision and stability of the locomotive brake control system,a brake control method based on fuzzy predictive control was proposed.The precise predictive model was built by using T-S fuzzy modeling based on the conception of character satisfaction degree,and the fuzzy genetic algorithm was used as rolling optimization method.The results show that using the brake control method,the global optimal solution can be obtained,which is used as the controller output.Therefore,it can improve the control speed and stability of this system.This improved method is effective.