Title :
Implementation of an industrial LQG self-tuning controller for power system applications
Author :
Forrest, S.W. ; Grimble, M.J. ; Johnson, M.A.
Author_Institution :
Ind. Control Unit, Strathclyde Univ., Glasgow, UK
Abstract :
The design and construction of a self-tuning controller software package intended for use on a main boiler feed pump speed control subloop in a power station application are described. An indirect self-tuning regulator is implemented with a linear quadratic Gaussian (LQG) control law and a prediction error parameter estimation algorithm. The control law is derived using a polynomial equation approach. The software design is modular, avoids the use of global variables, and includes provision for plant protection. Experimental results demonstrate both the functionality and practicality of the device, and its fail-safe software mechanisms
Keywords :
adaptive control; boilers; optimal control; parameter estimation; power system computer control; self-adjusting systems; software packages; velocity control; fail-safe software mechanisms; indirect control; industrial LQG self-tuning controller; linear quadratic Gaussian; main boiler feed pump speed control subloop; polynomial equation; power station; power system; prediction error parameter estimation; software package; Adaptive control; Application software; Boilers; Construction industry; Error correction; Feeds; Industrial control; Power generation; Software packages; Velocity control;
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
DOI :
10.1109/CDC.1991.261735