Authors: Wenbo Na; Quanmin Zhu; Zhiwei Su; Qingfeng Jiang
Addresses: College of Electric and Mechanical Engineering, China Jiliang University, Hangzhou, China ' Department of Engineering Design and Mathematics, University of the West of England, Bristol, UK ' College of Electric and Mechanical Engineering, China Jiliang University, Hangzhou, China ' College of Electric and Mechanical Engineering, China Jiliang University, Hangzhou, China
Abstract: During the process of sugar refinery, multiple constraints are imposed by practical requirements, and the cleaning process (CP) whose control goal is acquiring high density products is very important. Owing to the complexity of the process, exogenous disturbances, etc., conventional control methods do not yield satisfactory control performance. This paper presents an intelligent optimisation control method (IOCM) with a hierarchical configuration that provides solutions for the optimisation and control of the CP, and the online monitoring of the system operation state. The actual results show that the IOCM is a proper scheme to deal with the addressed problems.
Keywords: optimisation control; online monitoring; cleaning process; neural networks; sugar refineries; intelligent control; calcium salt; c-means clustering; genetic algorithms; chaos theory; system reliability; condition monitoring; distributed control systems; DCS.
International Journal of Modelling, Identification and Control, 2015 Vol.23 No.2, pp.173 - 180
Available online: 15 Apr 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article