基于自适应算法的特种车辆低压无刷直流电机控制方法

Low-voltage Brushless DC Motor Control Method for Special Vehicles Based on Adaptive Algorithm

为实现对无刷直流电机的高效率控制,引进自适应算法,以特种车辆为例,设计一种针对低压无刷直流电机的全新控制方法。根据电机的运行参数,建立特种车辆低压无刷直流电机数学模型;引进Mamdani进行模糊参数的推理决策,基于“最大与最小”关系的直接推理法,设定特种车辆低压无刷直流电机模糊控制量;引进自适应算法,假设特种车辆低压无刷直流电机在运行中产生的信号以离散差分进行表示,将自适应控制过程作为微粒在粒子群空间中最优位置的检索迭代过程,设计无刷直流电机调速主动控制过程。选择某特种车辆机电开发商作为研究对象,设计对比实验,结果证明设计的控制方法,不仅可保证对电机的高效率控制,也可降低在控制过程中电机转速不稳定导致的损耗,确保电机在控制时的稳定运行。

In order to realize the high-efficiency control of brushless DC motor,an adaptive algorithm is introduced.Taking special vehicles as an example,a new control method for low-voltage brushless DC motor is designed.According to the operating parameters of the motor,the mathematical model of low-voltage brushless DC motor for special vehicles is established.Mamdani is introduced to make the reasoning decision of fuzzy parameters.Based on the direct reasoning method of"maximum and minimum"relationship,the fuzzy control quantity of special vehicle low-voltage brushless DC motor is set.Assuming that the signals generated by the low-voltage brushless DC motor of special vehicles are represented by discrete differences,the adaptive control process is taken as the retrieval iterative process of the optimal position of particles in particle swarm space,and the active control process of brushless DC motor speed regulation is designed.A special vehicle electromechanical developer is selected as the research object to design a comparative experiment.The results show that the designed control method can not only ensure the high efficiency control of the motor,but also reduce the loss problem caused by the unstable motor speed during the control process,and ensure the stable operation of the motor during control.