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Hybrid Intelligent Speed Control of Induction Machines Using Direct Torque Control

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Advances in Soft Computing (MICAI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7095))

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Abstract

This paper presents a novel hybrid adaptive fuzzy controller for the regulation of speed on induction machines with direct torque control. The controller is based on a fuzzy system and PID control with decoupled gains. Genetic programming techniques are used for offline optimizations of the normalization constants of fuzzy membership function ranges. Fuzzy cluster means is introduced for online optimization on the limits of triangular fuzzy membership functions. Finally simulations in LabVIEW are presented validating the response of the controller with and without load on the machine; results and conclusions are discussed.

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Author information

Authors and Affiliations

  1. Tecnologico de Monterrey, Campus Ciudad de Mexico, Calle del Puente 222, Colonia Ejidos de Huipulco, Tlalpan, 14380, Distrito Federal, Mexico

    Fernando David Ramirez Figueroa & Alfredo Victor Mantilla Caeiros

Authors
  1. Fernando David Ramirez Figueroa
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  2. Alfredo Victor Mantilla Caeiros
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Editor information

Editors and Affiliations

  1. Mexican Petroleum Institute (IMP), Eje Central Lazaro Cardenas Norte, 152, Col. San Bartolo Atepehuacan, CP 07730, Mexico DF, Mexico

    Ildar Batyrshin

  2. National Polytechnic Institute (IPN), Center for Computing Research (CIC), Av. Juan Dios Bátiz, s/n, Col. Nueva Industrial Vallejo, CP 07738, Mexico D.F., Mexico

    Grigori Sidorov

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© 2011 Springer-Verlag Berlin Heidelberg

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Figueroa, F.D.R., Caeiros, A.V.M. (2011). Hybrid Intelligent Speed Control of Induction Machines Using Direct Torque Control. In: Batyrshin, I., Sidorov, G. (eds) Advances in Soft Computing. MICAI 2011. Lecture Notes in Computer Science(), vol 7095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25330-0_28

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  • DOI: https://doi.org/10.1007/978-3-642-25330-0_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25329-4

  • Online ISBN: 978-3-642-25330-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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