Title :
Nonparametric model for PID controller autotuning
Author :
Denisenko, Victor V.
Author_Institution :
Res. Lab. of Design Autom., Taganrog, Russia
Abstract :
A new algorithm for PID controller automatic tuning and adaptation is suggested, based on real plant characteristics instead of analytical expressions. The best PID parameters are found by numerical analysis and optimization. This method does not use any simplification that is normally used for parametric identification in common PID controllers with autotuning. The feasibility of the method has been proven experimentally.
Keywords :
control system synthesis; numerical analysis; optimisation; three-term control; PID controller autotuning; nonparametric model; numerical analysis; optimization; parametric identification; real plant characteristic; Algorithm design and analysis; Analytical models; Automatic control; Control system synthesis; Design automation; Nonlinear dynamical systems; Parameter estimation; Regulators; Shape control; Three-term control;
Conference_Titel :
Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4244-4601-8
Electronic_ISBN :
978-1-4244-4602-5
DOI :
10.1109/CCA.2009.5281179