Adaptive control of nonlinear Hammerstein model using NLMS filter

Author

Shafiq, Muhammad ; Al-Sunni, Fouad M. ; Farooq, Syed O.

Author_Institution

Dept. of Syst. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

439

Abstract

A novel technique, using the normalized least mean squares (NLMS) adaptive filter is proposed for adaptive control of the plant dynamics of a nonlinear plant. The nonlinear plant considered belongs to the Hammerstein type of nonlinear system. Stable adaptive controller for a stable discrete time nonlinear plant is designed. The nonlinear plant considered may be non-minimum phase. The controller is composed of an adaptive finite impulse response (FIR) filter in the feedback loop. This adaptive FIR filter is designed online as an L-delay approximate inverse system of the given stable nonlinear plant.

Keywords

FIR filters; adaptive control; adaptive filters; discrete time systems; least mean squares methods; nonlinear control systems; L-delay approximate inverse system; adaptive control; adaptive filter; adaptive finite impulse response filter; adaptive tracking strategy; feedback loop; nonlinear Hammerstein model; nonlinear plant; nonminimum phase; normalized least mean squares filter; plant dynamics; stable controller; stable discrete time plant; Adaptive control; Adaptive filters; Chemical industry; Control systems; Finite impulse response filter; Least squares approximation; Nonlinear dynamical systems; Nonlinear systems; Programmable control; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on

Print_ISBN

0-7803-8163-7

Type

conf

DOI

10.1109/ICECS.2003.1301816

Filename

1301816