Static and Dynamic Control Model of BOF Steelmaking Process and Its Validation With Steel Plant Data

2019 ◽  
Author(s):  
M. Kaza ◽  
D. Srishilan ◽  
S. Shukla ◽  
A. Pandey ◽  
C. Kumar
Keyword(s):  
Dynamic Control ◽  
Control Model ◽  
Steel Plant ◽  
Steelmaking Process ◽  
Plant Data

Temperature Prediction at the Blow End of the Converter via Control Model

2014 ◽  
Vol 1025-1026 ◽  
pp. 298-301
Author(s):  
Alexandre Furtado Ferreira
Keyword(s):  
Mathematical Model ◽  
Dynamic Control ◽  
Control Model ◽  
Mass Balances ◽  
Temperature Prediction ◽  
Oxygen Blow ◽  
Model Based ◽  
Gas Control ◽  
Prediction Capability

In the present work, a technique and model for temperature prediction at the blow end are briefly discussed, along with their limitations and perspectives for application. As a result of this analysis, a mathematical model based in heat and mass balances has been developed with a view to evaluating the possibility of improving this prediction capability. The study here presented focuses the development of a semi-dynamic control model in the LD-KGC converter (Linz-Donawitz-Kawasaki Gas Control Converter). The control model enables one to predict the temperature of the blow end by solving both the energy and mass equations. The inputs to the control model are the load data of the LD-KGC converter at the blow beginning and the collected data by the lance to 89% of oxygen blow. The results obtained in the present work were compared to the data measured in steelmaking. The semi-dynamic control model results agree well with data for LD-KGC converters.

The Practical Implementation of Dynamic Control of the BOF Steelmaking Process

JOM ◽  
1969 ◽  
Vol 21 (7) ◽  
pp. 80-84
Author(s):  
W. E. Dennis ◽  
T. G. John ◽  
W. F. Porter
Keyword(s):  
Dynamic Control ◽  
Practical Implementation ◽  
Steelmaking Process

scholarly journals Dynamic Allocation Model for Reversible Lanes in the Intelligent Vehicle Infrastructure Cooperative System

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Guiliang Zhou ◽  
Lina Mao ◽  
Huimin Cao ◽  
Pengsen Hu ◽  
Xu Bao
Keyword(s):  
Dynamic Control ◽  
Control Model ◽  
Utilization Rate ◽  
Intelligent Vehicle ◽  
Delay Model ◽  
Cooperative System ◽  
Dynamic Allocation ◽  
Average Delay ◽  
Allocation Model ◽  
Effective Measure

The real-time dynamic control of reversible lanes is an effective measure to alleviate the traffic congestion caused by the directional imbalance of the traffic flow and improve the utilization rate of urban road resources. This paper proposes a dynamic allocation model for reversible lanes for road sections and intersections in the intelligent vehicle infrastructure cooperative system (IVICS). The dynamic lane allocation model for the road sections is constructed based on the Bureau of Public Road (BPR) function, in which the 24 hours of the day are divided into stages, the traffic volume and road impedance of each stage are obtained, and their product is integrated over time. Finally, the plan with the least delay in each stage is selected as the optimal solution. The dynamic lane control model for intersections is built according to the Highway Capacity Manual 2000 (HCM2000) delay model. With the minimum average delay of vehicles at the intersection as the objective function, the average delay of different lane combinations under different traffic conditions is analyzed to find the optimal combination of reversible lanes and ordinary lanes. The model is verified by case analysis and MATLAB calculations. The results show that the reversible lane dynamic control model can effectively allocate road resources and reduce driving delays.

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