Application of Fuzzy Neural Network in the Intelligent Control of Biomass Gasifier

Abstract:

In view of biomass gasify process which has nonlinear, non-minimum- phase, big delay and strong load interference characteristics, a fuzzy neural network control algorithm for biomass gasifier is presented. Gasified process of biomass gasifier has been researched, and intelligent control of temperature and primary air flow for biomass gasifier has been designed. The control objects are gasifier temperature and flue gas oxygen content , the regulation objects are the material feed flow and primary air flow. Simulation results show that, this system has better control effect than the traditional fuzzy control system.

• Periodical: Advanced Materials Research (Volumes 1044-1045)
• Pages: 712-715
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.712
• Online since: October 2014
• Authors: Qin Hui Gong
• Keywords: Biomass, Fuzzy Neural Network, Gasifier, Intelligent Control

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