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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 4, Pages 1,830-1,849, DOI: https://doi.org/10.21307/ijssis-2017-735
License : (CC BY-NC-ND 4.0)
Received Date : 15-September-2014 / Accepted: 03-November-2014 / Published Online: 01-December-2014
The aerothermic process is a pilot scale heating and ventilation system equipped with a
heater grid and a centrifugal blower. The interaction between its main variables is considered as
challenging for mono-variable controllers. A change in the ventilator speed affects the temperature
behavior which represents a factor that must be managed for energy saving and the human welfare.
This paper presents an experimental comparison between a Centralized Discrete State Space Model
Predictive Control (CDSSMPC) and a Decentralized PI-D (DPI-D) controller. These both
techniques are designed by using respectively the Laguerres functions and the static decoupler
approach. To demonstrate the effectiveness of the two methods, an implementation on an
aerothermic process is performed. This pilot scale is fully connected through the Humusoft MF624
data acquisition system for real time control. The results show satisfactory performance in closedloop
of the DPI-D controller compared to the CDSSMPC and the conventional PID ones.
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