摘要
针对步进电机控制系统存在的强非线性特征,提出了一种融合控制策略。通过检测位置误差和误差变化率是否超过阈值,判断是否切换当前控制策略,从而确保整个系统可以稳定地跟踪位置信号。半实物仿真实验结果表明:负载变化较大时,融合控制策略比传统PID控制具有更加优良的快速稳定性;在位置输出控制精度上更加精确,更加能够满足步进电机应用位置高精度要求,具有实际应用价值。
A fusion control strategy was proposed for the strong nonlinearities of stepper motor control system. By detecting whether the position error and the error rate of change exceeded a threshold value,it was determined whether to switch the current control strategy,so as to ensure the whole system can stably track the position signal. Finally,a series of experiments on a semi-physics simulation show that: when the load change is large,the fusion control strategy than the traditional PID control strategy has more excellent quick stability; more accurate in position output control accuracy,more able to meet the requirements of high-precision stepping motor applications location has certain practical value.
出处
《微电机》
2016年第3期79-82,共4页
Micromotors
关键词
步进电机
融合控制
模糊神经网络
位置伺服
stepper motor
fusion control
fuzzy neural network
position servo