摘要
针对工业过程中常见的二阶滞后对象的PID参数调节问题,采用KALMAN滤波器同常规PID控制相结合的方法对系统进行仿真研究。结果表明:同没有加卡尔曼滤波器的常规PID控制相比,卡尔曼滤波器很好的抑制了白噪声的污染,控制效果明显改善。
Aim to optimize PID controller parameters of second-order system models with time-delay which are common in industry, we used general PID control method combined with Kalman filter to solve the problem. Simulation showed that the white noise was suppressed and the control effect had been improved notably because of Kalman filter, compared with the general PID control.
出处
《微计算机信息》
北大核心
2007年第06S期79-81,157,共4页
Control & Automation
基金
扰噪河南省自然科学基金资助项目(0324220079)
关键词
PID控制
卡尔曼滤波器
白噪声
PID control Kalman filter process noise observation noise
