Title :
Construction of plant friendly input excitations for ill-conditioned multivariable process identification
Author_Institution :
Dept. of Chem. Eng., Åbo Akademi Univ., Turku, Finland
Abstract :
The objective of this work is to evaluate and compare the effectiveness of input excitation signal design methods considering gain directions for the case of ill-conditioned multi-input multi output (MIMO) systems. For this purpose, a four inputs-four outputs (4 × 4) stripper section of distillation column is considered. Different plant friendly indices (such as, crest factor, PIPS) and fit percentage were used to quantify effectiveness of different input excitation signal design methods. Subsequently the quality of these methods and thus the quality of associated input excitation is evaluated through cross validation analysis.
Keywords :
MIMO systems; distillation equipment; identification; nonlinear control systems; signal processing; MIMO system; PIPS; associated input excitation quality; crest factor; distillation column; fit percentage; four inputs-four outputs stripper section; ill-conditioned multi-input multi output systems; ill-conditioned multivariable process identification; input excitation signal design methods; performance index for perturbation signals; plant friendly indices; plant friendly input excitation construction; Analytical models; Distillation equipment; Educational institutions; MIMO; Process control; Signal design; System identification; MIMO system identification; gain directionality; ill conditioned system; signal excitation design;
Conference_Titel :
Communications, Control and Signal Processing (ISCCSP), 2014 6th International Symposium on
Conference_Location :
Athens
DOI :
10.1109/ISCCSP.2014.6877890