GPC multivariable control applied to temperature and humidity neonate incubators

This paper presents a multivariable predictive control algorithm to resolve the coupling effect in closed loop systems. The desired decoupling is achieved by including an appropriate weighting factor on the objective function of predictive control. This weighting factor is tuned in synchronization to the error observation to eliminate the strong interaction. The proposed algorithm is applied to the control of humidity and temperature of a neonatal incubator. Simulation results are verified and compared with the others algorithm in the literature.

[1]  Min-Sen Chiu,et al.  A Methodology for Sequential Design of Robust Decentralized Control Systems , 1991 .

[2]  Abdelkader Mami,et al.  Application of Genetic Algorithms in identification and control of a new system humidification inside a newborn incubator , 2011, 2011 International Conference on Communications, Computing and Control Applications (CCCA).

[3]  David W. Clarke,et al.  Generalized predictive control - Part I. The basic algorithm , 1987, Autom..

[4]  M. A. Zermani,et al.  Multivariable control applied to temperature and humidity case study: Neonate incubator , 2012, 2012 20th Mediterranean Conference on Control & Automation (MED).

[6]  Shyh Hong Hwang,et al.  Sequential design method for multivariable decoupling and multiloop PID controllers , 1998 .

[7]  E. Camacho,et al.  Generalized Predictive Control , 2007 .

[8]  N. Peric,et al.  Decoupling multivariable GPC with reference observation , 2000, 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099).

[9]  Guang Li,et al.  Model predictive control of dynamically substructured systems with application to a servohydraulically-actuated mechanical plant , 2010 .

[10]  David Clarke,et al.  Properties of Generalized Predictive Control , 1987 .

[11]  Sigurd Skogestad,et al.  Sequential design of decentralized controllers , 1994, Autom..

[12]  P. Villon,et al.  Dynamic programming approach for newborn's incubator humidity control , 1998, IEEE Transactions on Biomedical Engineering.

[13]  Raimundo C. S. Freire,et al.  HUMIDITY CONTROL SYSTEM IN NEWBORN INCUBATOR , 2009 .

[14]  Marcos Uchoa Cavalcante,et al.  Filtered model-based predictive control applied to the temperature and humidity control of a neonatal incubator , 2010, 2010 9th IEEE/IAS International Conference on Industry Applications - INDUSCON 2010.