DocumentCode
2418939
Title
Digital PID controller tuning using prefiltered ARX estimation
Author
Rivera, Daniel E. ; Gaikwad, Sujit V.
Author_Institution
Arizona State Univ., Tempe, AZ, USA
fYear
1992
fDate
1992
Firstpage
68
Abstract
The use of prefiltered ARX (autoregressive with exogenous input) estimation to obtain reduced-order models that satisfy the Prett-Garcia (1988) digital PID (proportional plus integral plus derivative) tuning rules is described. The design of the prefilter is performed systematically using the engineer´s desired control requirements and the setpoint/disturbance characteristics of the problem. The benefits of this method are shown for a fourth-order system
Keywords
control system synthesis; digital control; discrete time systems; filtering and prediction theory; parameter estimation; statistical analysis; three-term control; digital PID controller tuning; parameter estimation; prefiltered ARX estimation; reduced-order models; setpoint/disturbance characteristics; Control systems; Design engineering; Digital control; Distributed control; Error correction; Finite impulse response filter; Polynomials; Reduced order systems; State estimation; Systems engineering and theory; Three-term control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-0872-7
Type
conf
DOI
10.1109/CDC.1992.371789
Filename
371789
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