Research Self-Adjusting T-S Fuzzy Control System Based on LS-SVM Online Prediction on CFBB

Abstract:

Automatic control system of circulating fluidized bed boiler (CFBB) is considered that has long combustion lag characteristic, instable parameters and difficult to formulate a mathematical model. A T-S fuzzy controller according to the study of fuzzy control based on proportional factors is put forward. The value of each proportional factor is verified by experiment and an online adjusting rules are made. The controller can distinguish the forecast output of least square support vector machine (LS-SVM) and adjusts the proportional factors by the rules. To verify the control effect, the model is simulated with matlab. The results reveal that the control effect is superior to normal control system.

• Periodical: Applied Mechanics and Materials (Volumes 241-244)
• Pages: 1109-1112
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.241-244.1109
• Online since: December 2012
• Authors: Ming Ming Gao, Ji Zhen Liu, Xuan Zhang, Xiu Jian Lei, Jun Tang, Jian Wei Zhong
• Keywords: Circulating Fluidized Bed Boiler, Least Squares Support Vector Machines (Ls-SVM), Proportional Factors, T-S Fuzzy Control

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