CIESC Journal ›› 2015, Vol. 66 ›› Issue (1): 307-315.doi: 10.11949/j.issn.0438-1157.20141483

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An on-line optimal control method for combustion process of coke oven based on multi-attribute performance evaluation

LEI Qi1, YAN Hui1, WU Min2   

  1. 1 School of Information Science and Engineering, Central South University, Changsha 410083, Hunan, China;
    2 School of Automation, China University of Geosciences, Wuhan 430074, Hubei, China
  • Received:2014-10-07 Revised:2014-10-17 Online:2015-01-05
  • Supported by:

    supported by the National Natural Science Foundation of China (61203018), the National High Technology Research and Development Program of China (2012AA040307) and Central South University Postdoctoral Foundation.

Abstract:

An on-line optimal control method based on multi-attribute performance evaluation aiming at adjusting the parameters of controllers to suppress the violent fluctuations of the flue temperature in combustion process of coke ovens is proposed, which are caused by the changes of coking time, the fluctuating calories of fuel gas and other factors. Firstly, the coke process characteristics and production demands are analyzed, and a multi-attribute performance evaluation model based on information entropy is proposed to evaluate the performance of the control system on line due to large difference in parameter periods. When the performance of the control system is unsatisfied, however, a multi-objective optimization model is established to minimize the setting time, the deviation and the deviation change of flue temperature. Then, the optimum parameters of the controller are solved by the multi-objective differential evolution algorithm. Finally, simulation results verify that this optimal control method can suppress the fluctuations of flue temperature when the calories of fuel gas and coking time are changing.

Key words: combustion process of coke oven, on-line performance evaluation, information entropy, multi-objective optimization model

CLC Number: 

  • TP273

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