On LQG self-tuning control: implementation and application

Author:

Forrest S.W.1,Grimble M.J.1,Johnson M.A.1

Affiliation:

1. Industrial Control Centre, University of Strathclyde, Graham Hills Building, 50 George Street, Glasgow G1 1QE, UK

Abstract

The design and construction of a self-tuning controller software package intended for general industrial use as a single-loop controller is presented. 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. A special feature of the work reported is the emphasis on jacketing software and the user interfaces necessary for routine industrial application. Experimental results demonstrate both the functionality and practicality of the device, and its fail-safe software mechanisms. The field test for the first industrial application is on a Main Boiler Feed Pump (MBFP) speed control sub-loop in a power station application. Some details of this application are given.

Publisher

SAGE Publications

Subject

Instrumentation

Reference21 articles.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multivariable H2/LQG Optimal Control;Robust Industrial Control Systems;2014-09-05

2. Introduction to Optimal and Robust Control;Robust Industrial Control Systems;2014-09-05

3. Robust estimator-based optimal control designs for U-tube steam generators;Transactions of the Institute of Measurement and Control;2014-05-19

4. Self-Tuning SIMO AVR Control with Multi-Variable Identification;IFAC Proceedings Volumes;1998-08

5. Polynomial LQG control of back-up-roll eccentricity gauge variations in cold rolling mills;Automatica;1994-06

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