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Implementation of a wavelet-based MRPID controller for benchmark thermal system / Khan, M. A. S. K. in IEEE transactions on industrial electronics, Vol. 57 N° 12 (Décembre 2010) 

Public ISBD [article]  in IEEE transactions on industrial electronics > Vol. 57 N° 12 (Décembre 2010) . - pp. 4160 - 4169 Titre : Implementation of a wavelet-based MRPID controller for benchmark thermal system Type de document : texte imprimé Auteurs : Khan, M. A. S. K., Auteur ; Rahman, M. Azizur, Auteur Année de publication : 2011 Article en page(s) : pp. 4160 - 4169 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Adaptive  control  Digital-signal  processor  (DSP)  Discrete  wavelet  transform  (DWT)  Feedforward  neural  network  (NN)  Multiresolution  decomposition  Real-time  implementation  temperature  control  Thermal  system  Wavelet  control Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : This paper presents a comparative analysis of the intelligent controllers for temperature control of a benchmark thermal system. The performances of the proposed wavelet-based multiresolution proportional-integral derivative (PID) (MRPID) controller, which can also be stated as a multiresolution wavelet controller, are compared with the conventional PID controller and the adaptive neural-network (NN) controller. In the proposed MRPID temperature controller, the temperature error of actual and command temperatures of a thermal system is decomposed into different frequency components at various scales of the discrete wavelet transform (DWT). The wavelet-transformed coefficients of temperature error at different scales of the DWT are scaled by their respective gains and then are added together to generate the control signal for the thermal system. The performances of these intelligent controllers are investigated in both simulation and experiments for different operating conditions of the thermal system. The performances of the wavelet-based MRPID controller are found superior to the conventional PID and adaptive NN controllers for temperature control of the thermal systems. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5422667 [article] Implementation of a wavelet-based MRPID controller for benchmark thermal system [texte imprimé] / Khan, M. A. S. K., Auteur ; Rahman, M. Azizur, Auteur . - 2011 . - pp. 4160 - 4169. Génie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 57 N° 12 (Décembre 2010) . - pp. 4160 - 4169 Mots-clés : Adaptive  control  Digital-signal  processor  (DSP)  Discrete  wavelet  transform  (DWT)  Feedforward  neural  network  (NN)  Multiresolution  decomposition  Real-time  implementation  temperature  control  Thermal  system  Wavelet  control Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : This paper presents a comparative analysis of the intelligent controllers for temperature control of a benchmark thermal system. The performances of the proposed wavelet-based multiresolution proportional-integral derivative (PID) (MRPID) controller, which can also be stated as a multiresolution wavelet controller, are compared with the conventional PID controller and the adaptive neural-network (NN) controller. In the proposed MRPID temperature controller, the temperature error of actual and command temperatures of a thermal system is decomposed into different frequency components at various scales of the discrete wavelet transform (DWT). The wavelet-transformed coefficients of temperature error at different scales of the DWT are scaled by their respective gains and then are added together to generate the control signal for the thermal system. The performances of these intelligent controllers are investigated in both simulation and experiments for different operating conditions of the thermal system. The performances of the wavelet-based MRPID controller are found superior to the conventional PID and adaptive NN controllers for temperature control of the thermal systems. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5422667