Simulation study on coordinated PID neural network control for boiler-turbine unit

Author

Wan, Jingfang ; Jiang, Xuezhi ; Wang, Wei

Author_Institution

Dept. of Thermal Eng., Tsinghua Univ., Beijing, China

Volume

2

fYear

2002

fDate

2002

Firstpage

909

Abstract

A boiler-turbine unit is a complex multivariable system with strong time-variation, uncertainty and coupling. The improvement of its control quality is a key problem for automation improvement in thermal engineering. The PID neural network is a feedforward multiplayer network with a simplified and normalized structure and good static and dynamic properties. Based on the modification of its learning algorithm, a coordinated control system for the boiler-turbine unit has been designed. Simulation results verify the satisfactory decoupling-control property and robustness.

Keywords

boilers; feedforward neural nets; learning (artificial intelligence); multivariable systems; neurocontrollers; three-term control; PID neural network; boiler-turbine unit; decoupling control; feedforward neural network; learning algorithm; multivariable system; Algorithm design and analysis; Automatic control; Automation; Control systems; Feedforward neural networks; MIMO; Neural networks; Thermal engineering; Three-term control; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1020707

Filename

1020707