On-line optimization and control of the buffer sizes in a cellular network communication system

2011 ◽  
Author(s):  
Michael M. Markou ◽  
Christos G. Panayiotou
Keyword(s):  
Communication System ◽  
Cellular Network ◽  
Network Communication ◽  
Optimization And Control ◽  
On Line ◽  
And Control

scholarly journals Virtual Distributed Supervision and Control for an Automated Greenhouse.

2014 ◽  
Vol 2 (3) ◽  
Author(s):  
Jorge Hernández Camacho ◽  
Laura E. Muñoz Hernández ◽  
Juan Carlos Acosta Guadarrama ◽  
Virgilio López Morales
Keyword(s):  
Water Consumption ◽  
Communication System ◽  
Serial Communication ◽  
Ventilation System ◽  
Production Quality ◽  
Optimal Production ◽  
Distributed Communication ◽  
On Line ◽  
Physical Variables ◽  
And Control

In order to have an optimal production in a Green-house, it is necessary to regulate the artificial micro-environment. By controlling the main physical variables (temperature, humidity, irrigation cycles, etc.) as well as the variables involved in the rates of plants growing (nutrients, sun radiation, water, etc.), the plant’s production quality, the energy and water consumption can be optimized. For instance, temperature and humidity can be regulated by opening or drawing the ventilation system or domes or by heating or circulating the air inside the greenhouse. These tasks should be constantly supervised by a supervised distributed communication system. In this paper, we propose a distributed serial communication system based on microcontrollers to monitoring and supervising the process via Internet, in order to achieve the on-line supervision and control of the greenhouse operation and environmental conditions as well as the main variables (temperature, humidity, irrigation cycles, etc.).

On-line optimization and control of a blast furnace stove rig

1993 ◽  
Vol 3 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Garry A. Labossiere ◽  
Peter L. Lee
Keyword(s):  
Blast Furnace ◽  
Optimization And Control ◽  
On Line ◽  
And Control

On-line model-based optimization and control of fed-batch processes using Matlab code, OPC server, SCADA, and PLC

2012 ◽  
Vol 29 ◽  
pp. S163 ◽  
Author(s):  
Juris Vanags ◽  
Vytautas Galvanauskas ◽  
Oskars Grigs ◽  
Konstantins Dubencovs ◽  
Valerija Stepanova
Keyword(s):  
Batch Processes ◽  
Fed Batch ◽  
Line Model ◽  
Opc Server ◽  
Matlab Code ◽  
Model Based ◽  
Optimization And Control ◽  
On Line ◽  
And Control

On the Simplified Modeling of NO Formation in Technical Combustion Processes

1995 ◽  
Vol 117 (2) ◽  
pp. 161-164
Author(s):  
G. Kloeppner ◽  
R. Scholz ◽  
R. Jeschar
Keyword(s):  
Model Parameters ◽  
Exhaust Gas ◽  
No Formation ◽  
Optimization And Control ◽  
On Line ◽  
Simplified Modeling ◽  
Combustion Processes ◽  
And Control ◽  
Characteristic Process ◽  
Concentration Patterns

Measures reducing the NO formation by qualified firing (primary measures) are intensively investigated. Fundamental elements in this context are the staging of fuel and combustion air as well as the recirculation of exhaust gas, to control residence time and also temperature and concentration patterns. For prediction, but also for optimization and control of technical combustion processes, simplified models of NO formation are applicable and required. These models should be simplified in a way that allows on-line operation and is capable of reflecting sufficiently the process. The structure of such a model (kinetics, reactors) is described in the present paper. Introducing two model parameters (a characteristic process temperature and a fuel-NO parameter), the model has proved effective in predicting NO formation during combustion of natural gas and also visbreaker residue.

Network Optimization-Based MPC for Distributed Control Systems

2012 ◽  
Vol 482-484 ◽  
pp. 2485-2488
Author(s):  
Yan Zhang
Keyword(s):  
Control Systems ◽  
Distributed Control ◽  
Network Optimization ◽  
Small Scale ◽  
Distributed Control Systems ◽  
Fuel Feed ◽  
Optimization And Control ◽  
On Line ◽  
And Control ◽  
Walking Beam Reheating Furnace

In this paper, a novel network optimization-based MPC scheme is proposed for on-line optimization and control of a class of distributed control systems, in which the on-line optimization of the whole system is decomposed into that of several small-scale sub-systems in distributed structures. Under network environment, the connectivity of the communication network is assumed to be sufficient for each sub-system to exchange information with other sub-systems. An iterative algorithm for networked MPC with ideal information model is developed for DCS. Finally, the simulation study of the fuel feed flow control for the walking beam reheating furnace is provided to test the effectiveness and practicality of the proposed networked MPC algorithm.

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