摘要
针对摆镜伺服系统的高精度要求,结合重复控制和神经网络PID控制的设计思想,提出了一种新型的复合控制方案。该控制方案采用重复控制改善系统的稳态特性和增强系统克服同频率扰动的能力,并采用BP神经网络PID控制增强系统抵抗参数变化和各种非线性不确定扰动的能力,改善系统的动态特性。试验结果表明,该方案使伺服系统获得了良好的动态和稳态性能,很好地改善了系统的跟踪性能,有效地提高了摆镜扫描的速度稳定性,抑制了电机的振荡现象。
In accordance with the requirement of high accuracy for oscillating mirror servo system,with the design concept of combining the repetitive control and neural network PID control,the new compound control strategy is proposed.This control scheme benefits the advantage of repetitive control for improving steady state characteristics of the system and enhancing the capability to withstand the disturbance of the same frequency.In addition,by adopting BP neural network PID control,the control strategy increases the capabilities for withstand parameter variation and various nonlinear uncertain disturbance,thus improves the dynamic characteristics of the system.The result of experiments indicates that this strategy makes the system offer excellent dynamic and static performance,and better tracking ability,thus effectively enhances the velocity stability of oscillating mirror,and inhabits the oscillation of the motor.
出处
《自动化仪表》
CAS
北大核心
2011年第5期35-38,共4页
Process Automation Instrumentation
关键词
摆镜
直流电机
神经网络
PID控制
重复控制
伺服系统
Oscillating mirror DC motor Neural network PID control Repetitive control Servo system
