近些年来由于连续变焦等新型伺服控制技术在红外成像中的应用, 对于直线位置伺服控制系统的要求日益增高, 提高其控制速度与控制精度已经成为当前一个热门课题。在直流电机伺服控制系统中, 由于被控对象的非线性以及不确定性, 传统 PID(Proportion Integral Differential)控制在应对不同的工况变化时, 其参数调整不及时, 自适应能力差。针对这种情况, 本文提出一种智能 PID控制策略, 将前馈与模糊 PID结合起来形成复合智能控制, 通过仿真实验进行验证, 证明了此控制策略具有响应速度快、超调量小、自适应能力强的特点。为直流电机伺服控制系统的设计提供一定的参考。

In recent years, owing to the application of new servo control technologies such as continuous zoom in infrared imaging, the requirements for linear position servo control systems have become increasingly high. Improving their control speed and control accuracy has become a widely discussed topic in the research community. In the DC motor servo control system, due to the nonlinearity and uncertainty of the controlled object, the traditional PID control does not adjust its parameters in a timely manner and has poor self-adaptability when responding to changes under varied operating conditions. To this end, this study proposes an intelligent PID control strategy that combines feedforward and fuzzy PID to form a composite intelligent control. The simulation experiments verify that this control strategy has fast response, small overshoot, and strong adaptive ability. We herein provide the reference for the design of the DC motor servo control system.