Fuzzy predictive temperature control for a class of metallurgy lime kiln models. (5th July 2016)

• Record Type: Journal Article
• Authors: Feng, Xugang; Huo, Shicheng; Zhang, Jiayan; Shen, Hao
• Is Part Of: Complexity. Volume 21(2016)Supplement 2
• Page Start: 249
• Page End: 258
• Publication Date: 2016-07-05
• Subjects: fuzzy control -- predictive control -- temperature control -- lime kiln; Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1002/cplx.21802
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : The combustion temperature and progress control problems are key factors to ensure the production quality of metallurgy lime kiln. The combustion process of lime kiln is a nonlinear and large time‐delay thermal process, so it is difficult to achieve satisfactory results by the traditional proportional integral derivative control, fuzzy control, or predictive control. This article analyses physics and chemistry mechanism of the combustion process and expounds the complex nonlinear, multivariable and large time‐delay characteristics, and the control target of the production system. Then, the mathematical model of combustion control system is deduced in view of the requirements of simulation. Based on these, the fuzzy predictive control scheme is employed. Through simulation, the control algorithm is verified to be effective. Finally, the industrial sleeve kiln as a practical example is used to demonstrate the effectiveness and feasibility of the control algorithm. © 2016 Wiley Periodicals, Inc. Complexity 21: 249–258, 2016