Neurofuzzy Power Plant Predictive Control

  • Authors:

  • Xiang-Jie Liu;Ji-Zhen Liu

  • Affiliations:

  • Department of Automation, North China Electric Power University, Beijing 102206, China;Department of Automation, North China Electric Power University, Beijing 102206, China

  • Venue:
  • ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

In unit steam-boiler generation, a coordinated control strategy is required to ensure a higher rate of load change without violating thermal constraints. The process is characterized by nonlinearity and uncertainty. Using of neuro-fuzzy networks (NFNs) to represent a nonlinear dynamical process is one choice. Two alternative methods of exploiting the NFNs within a generalised predictive control (GPC) framework are described. Coordinated control of steam-boiler generation using the two nonlinear GPC methods show excellent tracking and disturbance rejection results.