Title :
Uncorrelated multisymbol signals for MIMO system identification
Author :
El-Fandi, Mahmoud ; Henderson, Ian A. ; McGhee, Joseph ; McGlone, Phillip
Author_Institution :
Ind. Control Unit, Strathclyde Univ., Glasgow, UK
fDate :
10/1/1998 12:00:00 AM
Abstract :
This paper presents a new approach to the system identification of a two-input two-output multivariable system. In a similar manner to that used for the single-input/single-output system, the multi-input multi-output (MIMO) system response may be obtained directly from measured input output frequency responses. An investigation of compact multifrequency data measurement signals, which have been extensively cataloged by the authors, has provided compact multifrequency ternary and quaternary input signals that have uncorrelated spectra. They are powerful multisymbol, multilevel computer generated measurement signals whose signal power is concentrated in either two or three dominant harmonics. As the signals, which are given in this paper, have six, seven, or eight symbols in their measurement codes, both the computation time for the frequency estimates and the experimental time are minimized. Two multifrequency quaternary signals with uncorrelated spectra are used to identify a simulated distillation column. It is shown that the cross coupling terms between the measurement channels may be removed by these digital measurement signals with the same number of symbols but different measurement codes
Keywords :
MIMO systems; distillation; frequency estimation; frequency response; frequency-domain analysis; harmonics; modelling; MIMO system identification; compact multifrequency data measurement signals; computation time; cross coupling terms; frequency estimates; harmonics; input output frequency responses; multilevel computer generated measurement signals; quaternary input signals; simulated distillation column; system response; ternary input signals; two-input two-output multivariable system; uncorrelated multisymbol signals; uncorrelated spectra; Frequency estimation; Frequency measurement; MIMO; Power generation; Power measurement; Power system harmonics; Signal generators; Signal processing; System identification; Time measurement;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on