<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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 closed-loop of the DPI-D controller compared to the CDSSMPC and the conventional PID ones.</p>
</abstract>

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 closed-loop of the DPI-D controller compared to the CDSSMPC and the conventional PID ones.

Centralized Discrete State Space Model Predictive Control And Decentralized Pi-D Controller Of An Aerothermic Process

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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...

Centralized Discrete State Space Model Predictive Control And Decentralized Pi-D Controller Of An Aerothermic Process

Data publikacji: 01 gru 2014

Zakres stron: 1830 - 1849

Otrzymano: 15 wrz 2014

Przyjęty: 03 lis 2014

DOI: https://doi.org/10.21307/ijssis-2017-735

Słowa kluczowe
Centralized discrete state space model predictive control, Laguerre functions, Static decoupler, Decentralized PI-D controller, Multivariable systems, Aerothermic process

© 2014 M. Ramzi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Centralized Discrete State Space Model Predictive Control And Decentralized Pi-D Controller Of An Aerothermic Process

Data publikacji: 01 gru 2014

Zakres stron: 1830 - 1849

Otrzymano: 15 wrz 2014

Przyjęty: 03 lis 2014

DOI: https://doi.org/10.21307/ijssis-2017-735

Słowa kluczoweCentralized discrete state space model predictive control, Laguerre functions, Static decoupler, Decentralized PI-D controller, Multivariable systems, Aerothermic process

© 2014 M. Ramzi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
Centralized discrete state space model predictive control, Laguerre functions, Static decoupler, Decentralized PI-D controller, Multivariable systems, Aerothermic process