Title :
Digital PID controller tuning using prefiltered ARX estimation
Author :
Rivera, Daniel E. ; Gaikwad, Sujit V.
Author_Institution :
Arizona State Univ., Tempe, AZ, USA
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;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371789
