Documents disponibles écrits par cet auteur

Robust adaptive control of linear induction motors with unknown end-effect and secondary resistance / Kuang-Yow Lian in IEEE transactions on energy conversion, Vol. 23 n°2 (Juin 2008) 

Public ISBD [article]  in IEEE transactions on energy conversion > Vol. 23 n°2 (Juin 2008) . - pp. 412 - 422 Titre : Robust adaptive control of linear induction motors with unknown end-effect and secondary resistance Type de document : texte imprimé Auteurs : Kuang-Yow Lian, Auteur ; Cheng-Yao Hung, Auteur ; Chian-Song Chiu, Auteur Année de publication : 2008 Article en page(s) : pp. 412 - 422 Note générale : Energy conversion Langues : Anglais (eng) Mots-clés : Adaptive  control;  control  system  synthesis;  linear  induction  motors;  machine  control;  position  control;  robust  control;  velocity  control Résumé : This paper proposes a novel robust adaptive speed/ position tracking control for a linear induction motor (LIM) with both end-effect and secondary resistance unknown. The practical current-fed controlled LIM, with residual current error, is considered, i.e., the traditional ideal current-loop assumption is relaxed. More practical conditions, such as bounded primary voltage and a finite absolute-integral of current tracking error is considered. To overcome the high nonlinearity and nonzero current error, a backstepping method, combining virtual desired variable synthesis, is developed for the speed and position tracking. Then, the controller achieves asymptotic speed and position tracking even with unknown parameters and immeasurable secondary flux. Furthermore, the effect of the residual current error is attenuated in an L2 -gain sense. The experiments for several scenarios are carried out to verify the theoretical result. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4374092&sortType%3Das [...] [article] Robust adaptive control of linear induction motors with unknown end-effect and secondary resistance [texte imprimé] / Kuang-Yow Lian, Auteur ; Cheng-Yao Hung, Auteur ; Chian-Song Chiu, Auteur . - 2008 . - pp. 412 - 422. Energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 23 n°2 (Juin 2008) . - pp. 412 - 422 Mots-clés : Adaptive  control;  control  system  synthesis;  linear  induction  motors;  machine  control;  position  control;  robust  control;  velocity  control Résumé : This paper proposes a novel robust adaptive speed/ position tracking control for a linear induction motor (LIM) with both end-effect and secondary resistance unknown. The practical current-fed controlled LIM, with residual current error, is considered, i.e., the traditional ideal current-loop assumption is relaxed. More practical conditions, such as bounded primary voltage and a finite absolute-integral of current tracking error is considered. To overcome the high nonlinearity and nonzero current error, a backstepping method, combining virtual desired variable synthesis, is developed for the speed and position tracking. Then, the controller achieves asymptotic speed and position tracking even with unknown parameters and immeasurable secondary flux. Furthermore, the effect of the residual current error is attenuated in an L2 -gain sense. The experiments for several scenarios are carried out to verify the theoretical result. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4374092&sortType%3Das [...]

T-S fuzzy maximum power point tracking control of solar power generation systems / Chian-Song Chiu in IEEE transactions on energy conversion, Vol. 25, N° 4 (Décembre 2010) 

Public ISBD [article]  in IEEE transactions on energy conversion > Vol. 25, N° 4 (Décembre 2010) . - pp. 1123 - 1132 Titre : T-S fuzzy maximum power point tracking control of solar power generation systems Type de document : texte imprimé Auteurs : Chian-Song Chiu, Auteur Année de publication : 2011 Article en page(s) : pp. 1123 - 1132 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : Fuzzy  control;  maximum  power  point  trackers;  power  generation  control;  solar  power  stations Résumé : This paper presents maximum power point tracking (MPPT) control for stand-alone solar power generation systems via the Takagi-Sugeno (T-S) fuzzy-model-based approach. In detail, we consider a dc/dc buck converter to regulate the output power of the photovoltaic panel array. First, the system is represented by the T-S fuzzy model. Next, in order to reduce the number of measured signals, a T-S fuzzy observer is developed for state feedback. Then, a fuzzy direct MPPT controller is proposed to achieve asymptotic MPPT control, in which the observer and controller gains are obtained by separately solving two sets of linear matrix inequalities. Different from the traditional MPPT approaches, the proposed T-S fuzzy controller directly drives the system to the maximum power point without searching the maximum power point and measuring insolation. Furthermore, when considering disturbance and uncertainty, robust MPPT is guaranteed by advanced gain design. Therefore, the proposed method provides an easier implementation form under strict stability analysis. Finally, the control performance is shown from the numerical simulation and experimental results. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5437312&sortType%3Das [...] [article] T-S fuzzy maximum power point tracking control of solar power generation systems [texte imprimé] / Chian-Song Chiu, Auteur . - 2011 . - pp. 1123 - 1132. energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 25, N° 4 (Décembre 2010) . - pp. 1123 - 1132 Mots-clés : Fuzzy  control;  maximum  power  point  trackers;  power  generation  control;  solar  power  stations Résumé : This paper presents maximum power point tracking (MPPT) control for stand-alone solar power generation systems via the Takagi-Sugeno (T-S) fuzzy-model-based approach. In detail, we consider a dc/dc buck converter to regulate the output power of the photovoltaic panel array. First, the system is represented by the T-S fuzzy model. Next, in order to reduce the number of measured signals, a T-S fuzzy observer is developed for state feedback. Then, a fuzzy direct MPPT controller is proposed to achieve asymptotic MPPT control, in which the observer and controller gains are obtained by separately solving two sets of linear matrix inequalities. Different from the traditional MPPT approaches, the proposed T-S fuzzy controller directly drives the system to the maximum power point without searching the maximum power point and measuring insolation. Furthermore, when considering disturbance and uncertainty, robust MPPT is guaranteed by advanced gain design. Therefore, the proposed method provides an easier implementation form under strict stability analysis. Finally, the control performance is shown from the numerical simulation and experimental results. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5437312&sortType%3Das [...]