SRM转速控制参数自适应调节的新方法  

A New Method for Adaptive Adjustment of Speed Control Parameters of Switched Reluctance Motor

作　　者：栾茹 陈怀润 邹洪建 LUAN Ru;CHEN Huai-run;ZOU Hong-jian(School of Electrical and Information Engineering,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Beijing Key Laboratory of Intelligent Processing for Building Big Data,Beijing 100044,China)

机构地区：[1]北京建筑大学电气与信息工程学院,北京100044 [2]建筑大数据智能处理方法研究北京市重点实验室,北京100044

出　　处：《计算机仿真》2024年第8期262-267,共6页Computer Simulation

摘　　要：为了解决数据训练带来的开关磁阻电机(简称SRM)响应慢的问题,构建了一种基于柔性神经网络逻辑框架的转速PID参数的迭代算法,并对该柔性神经网络的激活函数进行了较大改进,不用大量数据样本事先训练,先将对转速纠偏的调节转化为对转矩变化轨迹的调节,然后通过在线调整增量式PID调节器的KP、KI、KD参数,迫使电磁转矩逼近转矩平衡点的同时,转速达到给定值。通过与动态响应好的传统转速PI控制进行仿真对比,结果表明,在所提转速PID参数自适应迭代算法的控制下,开关磁阻电机具有更好的调速性能以及更低的转矩脉动。In this paper,an iterative algorithm of speed PID parameters based on the logical framework of the flexible neural network is constructed,and the activation function of the flexible neural network is improved.Without training a large number of data samples in advance,the adjustment of speed correction is first transformed into the adjustment of torque change trajectory.Then the KP,Ki and KD parameters of the incremental PID regulator are adjusted online to force the electromagnetic torque to approach the torque balance point,while the speed reaches the given value.Compared with the traditional speed PI controller with good dynamic response,the simulation results show that under the control of the speed PID parameter adaptive iterative algorithm proposed in this paper,the switched reluctance motor has better speed regulation performance and lower torque ripple.

关 键 词：开关磁阻电机 自适应 柔性神经网络 激活函数 

分 类 号：TP352[自动化与计算机技术—计算机系统结构]