Publications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13

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Author: search.filters.author.Chetate, BoukhmisSubject: search.filters.subject.Electromechanical systems

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    Fuzzy logic-based controller for position regulation of electric drives
    (Advances in Modelling and Analysis C, 2007) Chermalikh, A.V.; Chetate, Boukhmis; Maidanski, I.I.; Kheldoum, A.
    Electrical drives are characterized by their natural non- linearity owing to their proper design and their time-varying mathematical models. When used to drive industrial systems, e.g. variable speed or variable position drives, conventional control methods are usually applied to design speed and position controllers. However, at certain performance level, these methods are not satisfied. The present paper combines fuzzy logic, mostly used to control system characterized by non-linearity and uncertainty, with new control structures to overcome difficulties listed earlier. The obtained results have proved the good foundation of the suggested method
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    Artificial neuron network usage for asynchronous motor malfunction diagnostics in real-time operation mode
    (2003) Chetate, Boukhmis; Khodja, Djalal Eddine
    In the article it is told about the device of automatic diagnostics of electromechanical systems, which consists of two subsystems: a subsystem of acting data transformation and a subsystem of data processing. The first carries out data reception and their processing (distribution of data, estimation of parameters and their representation) while the second finds out failures (under the Artificial Neural Network help) which can occur in an electromechanical system and gives the recommendations for their elimination. However, the investigation of three Neural Networks have been proceeded to choose the most effective diagnostic failure Neural Network. In addition, to give the improve diagnostic, it is important to do the correct choice of parameters. According to made analysis stator current, rotation speed and acting signals are the most important parameters to be considered describing failures influence (their changes are essentially more in the defect occurrence case) and their physical values can be measured easily with the sensor