Title :
Adaptive feedforward model reference control scheme for vibration suppression
Author :
Fei, J. ; Song, G.
Author_Institution :
Dept. of Mech. & Aerosp. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
This work focuses on an adaptive least mean square (LMS) feedforward control scheme combining with the model reference method. The overall control system maintains the basic structure of the adaptive feedforward controller and incorporates a reference model in the system. Model reference adaptive feedforward controller using finite impulse response (FIR) filters is proposed. The feedforward plant output is compared with reference model and error signal is used to adaptively adjust the LMS feedforward controller´s output. Simulation results from a flexible beam model show that vibration has been reduced due to the adaptive feedforward model reference controller.
Keywords :
FIR filters; beams (structures); feedforward; flexible structures; least mean squares methods; model reference adaptive control systems; vibration control; adaptive control; adaptive least mean square; feedforward model reference control; finite impulse response filter; vibration suppression; Adaptive control; Adaptive filters; Adaptive systems; Automatic control; Error correction; Finite impulse response filter; Least squares approximation; Piezoelectric materials; Programmable control; Vibration control;
Conference_Titel :
Intelligent Control, 2004. Proceedings of the 2004 IEEE International Symposium on
Print_ISBN :
0-7803-8635-3
DOI :
10.1109/ISIC.2004.1387709