摘要
为了克服气动伺服系统的时变、非线性等因素对控制系统性能的影响 ,采用在线辨识来获取时变参数 ,并利用卡尔曼滤波器估计系统的状态。为了减少干扰的影响 ,提高定位精度 ,设计带积分的 LQG最优自校正控制器。仿真和实验表明 :带积分的 LQG自校正控制能有效地抑制干扰 ,改善气动位置伺服控制的动、静态性能。图 4表 1参
In order to overcome the influence of time varying and nonlinear characteristic on performance of the system, the online identifiction is used to obtain the time varying parameter and a Kalman filter is used to estimate the states of the system. To reduce the influence of disturbance, raise the positioning accuracy, a LQG optimum self tuning controller with integral is designed. The experiment and simulation show that the controller designed is effective on improving the static and dynamic performances of the pneumatic position servo control. Figs4, table1 and refs 5.
出处
《动力工程》
CSCD
北大核心
2001年第4期1372-1375,1362,共5页
Power Engineering
关键词
气动位置伺服系统
线性二次高斯最优控制
自校正控制
pneumatic position servo system
linear quadratic gaussian optimum control
selt tuning
