Dynamic Control Model Calculation: A Model Generation Architecture for Autonomous On-Orbit Assembly

2014 ◽  
Vol 51 (5) ◽  
pp. 1430-1453 ◽  
Author(s):  
Swati Mohan ◽  
David W. Miller
Keyword(s):  
Model Calculation ◽  
Dynamic Control ◽  
Control Model ◽  
Model Generation

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.

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.

An Advanced Dynamic Secondary Cooling Control Model for Bloom Castings

2010 ◽  
Vol 154-155 ◽  
pp. 171-178 ◽  
Author(s):  
Zhan Guang Han ◽  
Jia Quan Zhang
Keyword(s):  
Dynamic Control ◽  
Casting Process ◽  
Feedback System ◽  
Control Model ◽  
Secondary Cooling ◽  
Level Control ◽  
Online Application ◽  
Cooling Control ◽  
Surface Temperatures ◽  
The Difference

For bloom casting, typical quality defects such as midway crack usually occur upon improper cooling control during non-steady casting conditions specially for the production specialty steels,. A key measure to eliminate the defects formation has been presented by the adoption of more sophisticated secondary cooling strategies to balance the surface reheating due to casting speed fluctuation. With the consideration of the complex casting conditions and the characteristics of bloom casters, a dynamic control model for the secondary cooling has been developed in the paper to obtain a reasonable temperature profile and solidification progress for the bloom casting process, which is based on a slice residence time method combined with a multi-level control strategy. The feedback system, based on the difference between the calculated surface temperatures and the predetermined or measured surface temperatures, has been integrated into two-dimensional thermal model. The interlocking protection system between level-1 and level-2 is included in the model together with the data diagnosis and processing. Furthermore, the control model also offers technological interface for the introduction of new steel grades in production and the related modification to the secondary cooling parameters. It is shown from online application that the dynamic control system of secondary cooling for bloom casting is robust during operation and adaptable to any change of real casting conditions. Sound quality bloom castings according to acid etched tests have been obtained from the caster accordingly.

scholarly journals Development of a Dynamic Control Model for Oversaturated Arterial Corridor

2013 ◽  
Vol 96 ◽  
pp. 2884-2894 ◽  
Author(s):  
Gang Liu ◽  
Pengfei Li ◽  
Tony Z. Qiu ◽  
Xu Han
Keyword(s):  
Dynamic Control ◽  
Control Model
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