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Frequency‐domain closed‐loop identification of multivariable systems for feedback control
Author(s) -
Li Wei,
Lee Jay H.
Publication year - 1996
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690421012
Subject(s) - multivariable calculus , control theory (sociology) , frequency domain , fractionating column , identification (biology) , open loop controller , closed loop , process (computing) , frequency response , system identification , feedback control , feedback loop , process control , domain (mathematical analysis) , computer science , inverse , loop (graph theory) , control engineering , engineering , distillation , mathematics , control (management) , data mining , chemistry , artificial intelligence , measure (data warehouse) , computer security , mathematical analysis , biology , operating system , geometry , computer vision , botany , combinatorics , electrical engineering , organic chemistry
A frequency‐domain identification method for multivariable systems is presented. The method emphasizes accurate identification of the process's gain directionality that is shown to be important for feedback control. The method requires closed‐loop testing in addition to conventional open‐loop testing, and combines open‐loop and closed‐loop data such that the derived model matches both the system's frequency‐response matrix and its inverse accurately. The method is used to identify a model for a nonideal high‐purity distillation column and is shown to capture the gain directionality of the process more accurately than the conventional method.