Intelligent Optimization and Control of Coking Process

Wu, Min; Cao, Weihua; Chen, Xin; She, Jinhua

doi:10.1007/978-981-15-1145-5_3

Cited by 2 publications

(1 citation statement)

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“…Some authors have used machine learning and artificial intelligence approach to control process variables in coke making. Intelligent optimization and control of the coking process were well discussed in [39]. Support vector machinebased predictive functional control design for the output temperature of the coking furnace was applied in [46].…”

Section: Overview Of Coking Controlmentioning

confidence: 99%

Heuristic Adaptive Control of Waste Gas Exhausting in Coke Making

Kačur¹,

Flegner²,

Durdán³

et al. 2020

Adv. Sci. Technol. Res. J.

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Stabilization of the carbon monoxide (CO) in the waste gas is a common technical problem in many industrial plants. Stabilization can be performed continuously by regulating the fuel input or by regulating the exhaust gas draught. This paper proposes an adaptive control system for CO stabilization in waste gases based on a discrete controller. Heuristic adaptation of a discrete controller is based on continuous optimization of controller parameters. The advantage of this solution is that the control system does not need to perform the identification of the controlled system repeatedly. The parameters of the controller are dynamically optimized during the production process. By regulating the under-pressure, we change the amount of air supplied to the combustion chambers, which affects the combustion of gaseous fuel and also the concentration of CO in the waste flue gas. The control algorithm was verified for the combustion process in coke making. The proposed control achieved good stabilization quality when verified in simulation and also in an industry operation. The CO level at which the waste gas temperature was highest was selected as the setpoint. It was found that the stabilization of CO in waste gas to lower values is possible to achieve higher waste gas temperature and by that, higher temperatures in heating chambers.

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Section: Overview Of Coking Controlmentioning

confidence: 99%