Title :
Enhancing transient response of asymptotic regulation with disturbance onset
Author :
Chu, K.C. ; Tsu-Chin Tsao
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Univ. of California, Los Angeles, CA, USA
fDate :
June 29 2011-July 1 2011
Abstract :
In incorporating an internal model (IM) to an linear time invariant (LTI) feedback system to achieve asymptotic regulation for exogenous disturbances, limitation in robust stability often hinders the transient response performance, such as the convergence rate and maximum output magnitude, of the LTI closed loop system. When the onset time of the disturbance introduced to the system is known, we formulate a linear time varying (LTV) controller, which exploits this information to improve the transient performance while maintaining the asymptotic regulation and desired robust stability. Simulation and experimental results for asymptotic regulation of a linear motor are presented to demonstrate the improvement of the proposed LTV over LTI controller.
Keywords :
T invariance; asymptotic stability; closed loop systems; convergence; feedback; linear motors; robust control; time-varying systems; transient response; LTI closed loop system; LTV controller; asymptotic regulation; disturbance onset; exogenous disturbance; internal model; linear motor; linear time invariant feedback system; robust stability; transient response enhancement; Convergence; Estimation; Kalman filters; Noise; Robust stability; Sensitivity; Steady-state;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991000