Premium
Some experiences with the application of multivariable adaptive control in chemical and electromechanical plants
Author(s) -
Hahn V.,
Röck H.,
Schmid Chr.,
Wiemer P.
Publication year - 1985
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.4660060305
Subject(s) - multivariable calculus , control theory (sociology) , fractionating column , adaptive control , variance (accounting) , process (computing) , controller (irrigation) , control engineering , process control , minimum variance unbiased estimator , control (management) , distillation , computer science , energy (signal processing) , engineering , mathematics , artificial intelligence , statistics , chemistry , agronomy , accounting , organic chemistry , mean squared error , business , biology , operating system
Based on a new unified theory, multivariable adaptive generalized minimum variance and model reference adaptive control are applied to three different types of processes. The improvement of control quality in a foil coating process using adaptive control is significant. Reduced energy costs can be really achieved on distillation columns as shown on a production column. The tuning of a multivariable controller for a turbogenerator can be done automatically and yields satisfactory disturbance rejection. The examples illustrate that adaptive control using these techniques has reached a high degree of maturity, making it a powerful tool for the control engineer.