Title
Receding horizon climate control in metal mine extraction rooms
Abstract
This papers proposes a novel climate control strat- egy for mine extraction rooms based on the receding horizon optimal control scheme. Being a model-based procedure, the development of a pertinent prediction model is one of the key- stones. According to recent technological advances, we consider that distributed measurements are available and provided by a wireless network. An enhanced modeling approach, based on stratification and sigmoid description of concentrations in the extraction rooms, is then proposed and allows for an optimal use of information provided by the wireless sensor network (WSN). The complexity of the resulting model, due to the nonlinearities, different time scales and time-delays, is handled by using an on-line shape prediction, included in the design of an optimal sequence of control actions over a finite horizon. Physical and communication constraints are successfully handled at the design stage and the resulting closed-loop system is robust with respect to variations in the pollutant dynamics.
Year
DOI
Venue
2008
10.1109/COASE.2008.4626434
CASE
Keywords
Field
DocType
closed loop systems,control nonlinearities,control system synthesis,delays,industrial pollution,mining industry,optimal control,predictive control,process control,robust control,ventilation,wireless sensor networks,WSN,climate control,closed-loop system,control design,control nonlinearity,distributed measurement,metal mine extraction room,pertinent prediction model,pollutant dynamics,receding horizon optimal control,robust control,sigmoid description,time delay,wireless sensor network
Wireless network,Optimal control,Horizon,Model predictive control,Control engineering,Process control,Engineering,Robust control,Wireless sensor network,Sigmoid function
Conference
ISSN
Citations 
PageRank 
2161-8070
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Guillaume Sandou11812.89
Emmanuel Witrant27611.27
Sorin Olaru326747.10
Silviu-iulian Niculescu4821108.06