JACIII Vol.22 No.2 pp. 203-213
doi: 10.20965/jaciii.2018.p0203


Coke Oven Flue Temperature Control Based on Improved Implicit Generalized Predictive Control

Zhongda Tian, Shujiang Li, and Yanhong Wang

College of Information Science and Engineering, Shenyang University of Technology
Shenyang, Liaoning 110870, China

Corresponding author

February 17, 2017
December 20, 2017
March 20, 2018
coke oven, flue temperature, predictive control, improved implicit GPC

The flue temperature of coke oven is an important factor that guarantees the coke yield, the coke quality and the energy consumption of coking production. The heating process of coke oven is an object with multi control variables, nonlinear and large lag. The traditional PID control algorithm cannot further improve the control performance of the coke oven system. An improved implicit generalized predictive control algorithm with better control performance is proposed in this paper. Through inputting control increment value constrained by soft coefficient matrix, the calculation of matrix inversion is avoided. Soft coefficient matrix can reduce the computation time and ensure the rapidity of the system. At the same time, the input weight control law with smoothing filter is used to suppress the overshoot of the system output. Simulation results show that the proposed control method in this paper has the good control performance with faster computation speed. The proposed control method solves the problem of time variation and disturbance of coke oven system. The control algorithm of the coke oven flue temperature in this paper is effective.

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Cite this article as:
Zhongda Tian, Shujiang Li, and Yanhong Wang, “Coke Oven Flue Temperature Control Based on Improved Implicit Generalized Predictive Control,” J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.2, pp. 203-213, 2018
Zhongda Tian, Shujiang Li, and Yanhong Wang, J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.2, pp. 203-213, 2018

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Last updated on Jun. 22, 2018