磁浮列车机械制动系统交叉耦合控制方法

Cross Coupling Control Method for Mechanical Braking System of Maglev Train

机械制动系统在制动过程中产生一定的能量消耗,若控制策略不合理,容易导致制动能耗过大,影响磁浮列车的正常运行,为此,提出磁浮列车机械制动系统交叉耦合控制方法。根据磁浮列车机械制动系统结构框架,计算液压力伺服系统的传递系数和闸瓦与轨道之间的摩擦系数,以此获取磁浮列车机械制动系统传递函数。根据该传递系数,引入气隙、速度双重同步交叉耦合控制器,求取气隙同步误差和扰动量,获得交叉耦合控制结果。利用果蝇优化算法(fruit fly optimization algorithm,FOA)对该控制器的控制参数实施参数寻优,得到最优控制参数,进而实现磁浮列车机械制动系统交叉耦合稳定控制。实验结果表明,所提方法能够获取最优控制参数,并提高控制精度和效率。

The mechanical braking system generates a certain amount of energy consumption during the braking process.If the control strategy is not reasonable,it can easily lead to excessive braking energy consumption and affect the normal operation of maglev trains.Therefore,a cross coupling control method for the mechanical braking system of maglev trains is proposed.Based on the structural framework of the mechanical braking system of the maglev train,the transfer coefficient of the hydraulic pressure servo system and the friction coefficient between the brake shoe and the track are calculated to obtain the transfer function of the mechanical braking system of the maglev train.Based on this transfer coefficient,an air gap and velocity dual synchronous cross coupling controller is introduced to calculate the air gap synchronization error and disturbance,and obtain the cross coupling control results.Using the fruit fly optimization algorithm(FOA)to optimize the control parameters of the controller,the optimal control parameters are obtained,and then the cross coupling stable control of the mechanical braking system of the maglev train is achieved.The experimental results show that the proposed method can obtain the optimal control parameters and improve control accuracy and efficiency.