Article citationsMore>>

S. J. Qin, V. M. Martinez and B. A. Foss, “An Interpolating Model Predictive Control Strategy with Application to a Waste Treatment Plant,” Computers and Chemical Engineering, Vol. 21, No. 1, 1997, pp. S881-S886. doi:10.1016/S0098-1354(97)00160-9

has been cited by the following article:

• TITLE: State Space Model Predictive Control of an Aerothermic Process with Actuators Constraints

  AUTHORS: Mustapha Ramzi, Hussein Youlal, Mohamed Haloua

  KEYWORDS: Multi-Variable Control; Aerothermic Process; Actuators Constraints; Process Identification; State Space Model Predictive Control

  JOURNAL NAME: Intelligent Control and Automation, Vol.3 No.1, February 28, 2012

  ABSTRACT: This paper investigates State Space Model Predictive Control (SSMPC) of an aerothermic process. It is a pilot scale heating and ventilation system equipped with a heater grid and a centrifugal blower, fully connected through a data acquisition system for real time control. The interaction between the process variables is shown to be challenging for single variable controllers, therefore multi-variable control is worth considering. A multi-variable state space model is obtained from on-line experimental data. The controller design is translated into a Quadratic Programming (QP) problem, in which a cost function subject to actuators linear inequality constraints is minimized. The outcome of the experimental results is that the main control objectives, such as set-point tracking and perturbations rejection under actuators constraints, are well achieved for both controlled variables simultaneously.