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

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 n...

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Bibliographic Details
Main Authors: Jingfang Wan, Xuezhi Jiang, Wei Wang
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Automatic control
Automation
Control systems
Feedforward neural networks
MIMO
Neural networks
Thermal engineering
Three-term control
Uncertainty
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Summary: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.
DOI:10.1109/WCICA.2002.1020707