Title :
A new indirect adaptive algorithm for feedforward control
Author :
Wang, Angela Kuo ; Ren, Wei
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fDate :
29 June-1 July 1994
Abstract :
This paper considers the deterministic adaptive feed-forward control problem for disturbance rejection. A new indirect adaptive control algorithm is presented as an alternative to the well-known "filtered-X LMS" algorithm when the disturbance is periodic with unknown frequency. This new algorithm requires the solution of a Diophantine equation and a simple scheme to recursively solve this equation is developed. The new algorithm is shown to converge without the use of a dither signal for plant modeling. Simulations demonstrate that the proposed algorithm has improved transient response and convergence speed than the filtered-X algorithm. The applicability of the algorithm to the adaptive active noise cancelling problem is considered.
Keywords :
active noise control; adaptive control; convergence; feedforward; linear systems; transient response; Diophantine equation; adaptive active noise cancelling problem; convergence speed; deterministic adaptive feedforward control; disturbance rejection; indirect adaptive algorithm; transient response; Adaptive algorithm; Adaptive control; Adaptive filters; Equations; Feedforward systems; Frequency; Least squares approximation; Noise cancellation; Programmable control; Transient response;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.735120