Title :
Research on the Control Method of Inverted Pendulum Based on Kalman Filter
Author :
Zhang Wanli ; Li Guoxin ; Wang Lirong
Author_Institution :
Coll. of Electron. Inf. & Eng., Changchun Univ., Changchun, China
Abstract :
Inverted pendulum is a nonlinear, multivariable and instability system. In the past, without considering the effects of measurement noise and output noise of the sensor in the processing of inverted pendulum control, the strong random jitter occur, and the control accuracy and stable of the inverted pendulum is reduced. Because the Kalman filter can estimate the signal is corrupted by the noise, the filtered system will have fine robustness and dynamic performance. Inverted pendulum in the straight line car is given as example, and the application of Kalman filter in the inverted pendulum control system is described in the paper.
Keywords :
Kalman filters; automobiles; jitter; multivariable control systems; nonlinear control systems; pendulums; robust control; Kalman filter; control accuracy; corrupted signal; dynamic performance; inverted pendulum control system; measurement noise; nonlinear multivariable system; random jitter; robustness; sensor output noise; signal estimation; straight line car; system instability; Control systems; Educational institutions; Equations; Estimation; Kalman filters; Mathematical model; Noise; inverted pendulum; kalman filter; state equation;
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5078-2
DOI :
10.1109/DASC.2014.100