Aportaciones al análisis de faltas y técnicas de diagnostico en los accionamientos de reluctancia autoconmutados
- Autores: José Antonio Sánchez López
- Directores de la Tesis: Pedro Andrada Gascón (dir. tes.), Marcel Torrent Burgues (codir. tes.)
- Lectura: En la Universitat Politècnica de Catalunya (UPC) ( España ) en 2018
- Idioma: español
- Tribunal Calificador de la Tesis: Abelardo Martínez Iturbe (presid.), Samuel Galceran Arellano (secret.), Jordi García Amorós (voc.)
- Programa de doctorado: Programa de Doctorado en Ingeniería Eléctrica por la Universidad Politécnica de Catalunya
- Materias:
- Enlaces
- Tesis en acceso abierto en: TDX
- Resumen
Today, the industry is facing a new way of organizing production, lndustry 4.0, which aims to create smart factories that improve the adaptability of the means of production, not only to produce more and better with lower costs, but also to be able to attend to the personalizad requests of the clients .
lndustry 4.0 is based on new technologies such as:artificial intelligence, internet of things, ciber-physical systems, big data, virtual and augmented reality, advanced robotics and additive manufacturing. In this new industrial environment, predictive maintenance will have a much more prominent role than it currently plays in traditional industry.
In the industry, the drives with rotary electric motors and especially the drives with asynchronous three-phase motors are one of the industrial equipment to which greater attention has been paid with regard to predictive maintenance plans. In recent years, drives with switched reluctance drives have begun to have some relevance in the industrial field.
For these reasons, it is very important to deepen the analysis of faults and fault detection techniques in switched reluctance drives, to implement a predictive maintenance plan.
In this thesis, after a brief presentation of the constitution, operation principle and control strategies of the auto-switched reluctance drives, the state of the art of fault analysis and the diagnostic techniques of this type of drives will be presented. After an exhaustive study of the different types of faults in the switched reluctance drives, we will proceed to the simulation of the faults, in our most significant judgment, based on a modeling of the self-commutated reluctance drive by means of finite elements and Matlab-Simulink. After describing the techniques used to diagnose faults that are currently applied in the predictive maintenance of electrical machines.
The experimental study of the previously simulated faults will be carried out using two SRD prototypes. One of the prototypes is specially prepared for the simulation of short circuits in the turns of a coil. This study will be done using the most appropriate detection techniques for each type of fault (vibrations, analysis of the currents,...). After the experimental study, the results obtained will be analyzed ,the validity of the simulations will be shown and a predictive maintenance plan will be proposed.
Finally, the conclusions will be presented and future lines of research will be pointed out.
