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  • In Jour Smart Sensing And Intelligent Systems

 

Article

DECENTRALIZED PI-D CONTROLLER APPLIED TO AN AEROTHERMIC PROCESS

The aerothermic process is a pilot scale heating and ventilation system. It is equipped with a heater grid and a centrifugal blower, fully connected through the Humusoft MF624 data acquisition system for real time control. The interaction between its main variables is considered as challenging for mono-variable controllers. An abrupt change in the ventilator speed might cause an undesirable disturbance in the air temperature representing a factor that must be managed to conserve energy. To

M. Ramzi, N. Bennis, M. Haloua, H. Youlal

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1003–1018

Article

CONTINUOUS TIME IDENTIFICATION AND DECENTRALIZED PID CONTROLLER OF AN AEROTHERMIC PROCESS

proposed method, the PID controller with and without decoupling is implemented on an aerothermic process. It is a pilot scale heating and ventilation system equipped with a heater grid and a centrifugal blower, fully connected through the Humusoft MF624 data acquisition system for real time control. The outcome of the experimental results is that the main control objectives, such as set-point tracking and interactions rejection are well achieved. The experimental results have shown that the proposed

M. Ramzi, H. Youlal, M. Haloua

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 487–503

Article

CENTRALIZED DISCRETE STATE SPACE MODEL PREDICTIVE CONTROL AND DECENTRALIZED PI-D CONTROLLER OF AN AEROTHERMIC PROCESS

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

M. Ramzi, H. Youlal

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1830–1849

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