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Computer control using optimal multivariable feedforward‐feedback algorithms
Author(s) -
Newell Robert B.,
Fisher D. Grant,
Seborg Dale E.
Publication year - 1972
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.690180514
Subject(s) - multivariable calculus , feed forward , control theory (sociology) , feedback control , control engineering , computer science , process (computing) , state space , state space representation , process control , engineering , control (management) , algorithm , mathematics , artificial intelligence , operating system , statistics
This paper presents three methods of designing feedforward compensators which can be combined with multivariable feedback controllers in order to minimize or eliminate errors caused by sustained measurable disturbances. The designs are based on a linear, time‐invariant state‐space model of the process and minimize a quadratic function of the errors and/or constrain selected steady state offsets to zero. Simulated and experimental data from a computer controlled pilot‐plant evaporator show that multivariable feedback‐plus‐feedforward control is relatively simple to implement, is practical, and gives excellent control.