MALIKA Fodil

Mechiki Abdelmounaime

Commande de la Machine Asynchrone Polyphasée

Maghni Bilal , Merriche Hassene

Estimation des paramètres de la MAS

Laghouag Ibrahim

Commande par logique floue type-2 appliquée à la machine asynchrone

Hadji Saddam

Logiciel de simulation des convertisseurs d’électronique de puissance

Djoukbala Hicham

Commande floue adaptative basée sur la minimisation de l’erreur filtrée

Djaidja Abdelbaset

Commande floue adaptative basée sur la minimisation de l’erreur d’état

Daoud boussag

Commande adaptative floue appliquée à la machine asynchrone

Dahmani badisse

Commande par mode glissant flou appliquée à la machine asynchrone

Benselhoub Nadjet , x, x

Commande par mode glissant appliquée à la machine asynchrone

Djagham sabah

Commande par logique floue appliquée à la machine asynchrone

Operation at low speed and high torque can lead to the generation of strong ripples in the speed, which can deteriorate the system. To reduce the speed oscillations when operating a five-phase asynchronous motor at low speed, in this article, we propose a control method based on Gray Wolf optimization (GWO) algorithms to adjust the parameters of proportional–integral (PI) controllers. Proportional–integral controllers are commonly used in control systems to regulate the speed and current of a motor. The controller parameters, such as the integral gain and proportional gain, can be adjusted to improve the control performance. Specifically, reducing the integral gain can help reduce the oscillations at low speeds. The proportional–integral controller is insensitive to parametric variations; however, when we employ a GWO optimization strategy based on PI controller parameters, and when we choose gains wisely, the system becomes more reliable. The obtained results show that the hybrid control of the five-phase induction motor (IM) offers high performance in the permanent and transient states. In addition, with this proposed strategy controller, disturbances do not affect motor performance

Citation

HEMZA Mekki , Malika FODIL , ALI Djerioui , Mohamed Ladjal , FOUAD Berrabah , SAMIR Zeghlache , Azeddine Houari, Mohamed Fouad Benkhoris, , (2023-05-22), Optimization of PI Controller Parameters by GWO Algorithm for Five-Phase Asynchronous Motor, Energies, Vol:16, Issue:10, pages:1-14, Licensee MDPI, Basel, Switzerland.

this paper presents an advanced direct adaptive fuzzy control for asynchronous machine which uses the theory of approximation and the theory of Lyapunov to establish a parametric adaptation law ensuring the stability and boundedness of all the control signals and the tracking error. In the direct approach, the fuzzy system is used to describe directly the control law and the parameters of the fuzzy system are directly adjusted to achieve the control objectives. Through the obtained results, stable direct adaptive fuzzy control generalized has proved a great effectiveness and a strong robustness in the presence of parameter variations and disturbances.

Citation

Malika FODIL , ,(2014), Novel approach to direct adaptive fuzzy control applied to the asynchronous machine,world symposium on méchatronics engineering § applied physics,Tunisie

The asynchronous machine currently holds a very important and ever-growing market thanks to its simplicity, robustness and low manufacturing cost. Despite these advantages, his command remains a more complex in comparison to the direct current machine, the use of fuzzy control is an interest having regard to its ability to treat the imprecision and uncertainty. If the variable dynamic systems impose the adjustment of the parameters of the controller and if the base of rules of order is difficult to build, the introduced of the adaptive techniques of control is necessary. Consequently, the combination of the study of adaptivity and uncertainty made it possible to derive the adaptive fuzzy controllers. In this context, several schemas of adaptive fuzzy controller have been proposed, among them the indirect adaptive fuzzy control In the indirect approach, the fuzzy systems are used to estimate the system dynamics and control law is obtained from the estimated. With through the obtained results, indirect adaptive fuzzy control based on the inverse identification has proved a great effectiveness and a strong robustness in the presence of parameter variations and disturbances.

Citation

Malika FODIL , ,(2014), Indirect Adaptive Fuzzy Control Based on the Inverse Identification applied to the asynchronous machine,Second World Conference on Complex Systems WCCS,Maroc

La machine asynchrone, dont la structure simple fait le succès industriel, devient redoutablement complexe lorsqu’il s’agit d’en étudier une commande performante. Le recours à la commande par la logique floue trouve un intérêt important auprès des chercheurs, vu sa capacité de traiter l’imprécis, l’incertain et le vague. Si les systèmes dynamiques variables imposent l’ajustement des paramètres du régulateur et si la base de règles de commande est difficile à construire, les chercheurs ont introduit les techniques de commande adaptatives. Par conséquent, la combinaison de l’étude de l’adaptativité et de l’incertitude a permis de dériver les contrôleurs flous adaptatifs. Dans ce contexte, plusieurs schémas de commande floue adaptative ont été proposés, parmi eux la commande floue adaptative directe linéarisante ou l’étude de la stabilité est fondée sur l’approche de Lyapunov.

Citation

Malika FODIL , ,(2013), Commande floue adaptative directe linéarisante avec application,8eme Conférence sur le Génie Electrique(CGE08),alger

The asynchronous machine, of which the simple structure makes industrial success, becomes terribly complex when it is a question of studying a powerful control of it. During the last decades the fuzzy logic control became a very important field of investigation and a lot of researchers are focused on. If the variable dynamic systems impose the adjustment of the parameters of the controller and if the base of rules of order is difficult to build, the introduced of the adaptive techniques of control is necessary. Consequently, the combination of the study of adaptivity and uncertainty made it possible to derive the adaptive fuzzy controllers. In this context, several schemas of adaptive fuzzy controller have been proposed, among them the direct adaptive fuzzy control stability extended or the study of stability is based on the Lyapunov approach. With through the obtained results, direct adaptive fuzzy control stability extended has proved a great effectiveness and a strong robustness in the presence of parameter variations and disturbances.

Citation

Malika FODIL , ,(2013), Commande floue adaptative directe stable étendue appliquée à la machine asynchrone,the first International Conference on Electrical Energy and Systems ICEES 2013,Annaba