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Controller performance assessment in set point tracking and regulatory control
Author(s) -
Thornhill N.F.,
Huang B.,
Shah S.L.
Publication year - 2003
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.773
Subject(s) - benchmarking , control theory (sociology) , variance (accounting) , controller (irrigation) , set (abstract data type) , minimum variance unbiased estimator , control (management) , point (geometry) , set point , variable (mathematics) , computer science , measure (data warehouse) , constant (computer programming) , tracking (education) , control engineering , engineering , mathematics , statistics , artificial intelligence , economics , data mining , psychology , mathematical analysis , biology , geometry , management , accounting , mean squared error , agronomy , programming language , pedagogy
Recent critiques of minimum variance benchmarking for single‐input–single‐output (SISO) control loops have focused on the need for assessment of performance during set point changes and also on the need to pay attention to the movements in the manipulated variable. This paper examines factors that influence the minimum variance performance measure of a SISO control loop. It discusses the reasons why performance during set point changes differs from the regulatory performance during operation at a constant set point. The results demonstrate how regulatory performance is influenced by the nature of a disturbance, and that correlation of signals within a control loop can indicate whether the disturbance is random or deterministic. The paper is illustrated with simulated, experimental and industrial examples. Copyright © 2003 John Wiley & Sons, Ltd.