步进电机细分控制量的模型和优化  

Modeling and Optimization of Mierostep Control for Stepper Motor

作　　者：原育凯[1] 

机构地区：[1]中国科学院上海技术物理研究所

出　　处：《电机技术》2007年第1期36-37,40,共3页Electrical Machinery Technology

摘　　要：文章基于细分控制量与细分转角的单调关系,结合细分步距角的不确定性,提出通过建立Markov链来预测连贯的步进细分位置的模型,并通过经验和实验的方法来确定具体参数。针对细分电流控制量的离散性,导致了细分步进中的力矩波动对其定位精度产生影响,提出了对步进电机细分控制量进行评估和优化的方法,并可以根据驱动系统的设计倾向,在定位精度和力矩稳定度之间作出均衡。Based on the monotonousness and singleness between the microstep control input and microstep angle, with the randomicity of angles concerned, a Markov Chain model of microstep has been established to describe the probability and consistency of those angles, while those parameters can be determined by experience and experiment. To comprise the torque stability and microstep precision, a look-up table has been established to evaluate and optimize the microstep control input. By this means, constructive advice can be drawn to make a balance between those former factors and qualify system design inclination.

关 键 词：控制 优化 模型 

分 类 号：TM383.6[电气工程—电机]