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TDNN speed estimator applied to stator oriented IM sensorless drivers

  • Application of soft computing
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Abstract

The direct measurement of speed in induction motors is costly and requires maintenance. Thus, sensorless techniques for estimating or predicting the speed in three-phase induction motors represent a feasible and economical solution. This work considers a single time delay neural network as a speed estimator in two different strategies of stator field-oriented induction motor drive: direct current and torque control. Time delay neural network makes the estimated signal robust against noise, that is usually found in switched power systems, and against disturbances on the input signals, since the estimator is not dependent only on instantaneous values. The synchronous speed and the electromagnetic torque, which are usual quantities in field oriented drives, are the inputs of the proposed neural estimator. In order to have a robust estimator facing induction motor parameter variations, the procedure of training and validating the neural networks are conducted with three different induction motors, from simulations to the experimental tests. An embedded system is also presented, and the scheme is tested considering various speed and load torque levels with different control strategies.

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Acknowledgements

Author Alessandro Goedtel has received research grants from National Council for Scientific and Technological Development - CNPq (Processes 552269/2011-5, 405228/2016-3). Author Ivan Nunes da Silva has received grant from São Paulo Research Support Foundation - FAPESP (Process 2011/17610-0).

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Authors and Affiliations

  1. Department of Control and Industrial Processes, Federal Institute of Paraná, Av. Cívica, Assis Chateaubriand, PR, Brazil

    Tiago Henrique dos Santos

  2. Department of Electrical Engineering, São Carlos School of Engineering, University of São Paulo (USP), Av. Trabalhador São Carlense, 400, São Carlos, SP, Brazil

    Ivan Nunes da Silva

  3. Department of Electrical Engineering, Federal Technological University of Paraná, Av. Alberto Carazzai, Cornélio Procópio, PR, Brazil

    Alessandro Goedtel & Marcelo Favoretto Castoldi

  4. Department of Telecomm. and Control Engineering, Escola Politécnica, University of São Paulo (USP), Av. Prof. Luciano Gualberto, Travessa 3, 158, São Paulo, SP, Brazil

    Bruno Augusto Angélico

Authors
  1. Tiago Henrique dos Santos
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  2. Ivan Nunes da Silva
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  3. Alessandro Goedtel
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  4. Marcelo Favoretto Castoldi
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  5. Bruno Augusto Angélico
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Correspondence to Marcelo Favoretto Castoldi.

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dos Santos, T.H., da Silva, I.N., Goedtel, A. et al. TDNN speed estimator applied to stator oriented IM sensorless drivers. Soft Comput 25, 12977–12988 (2021). https://doi.org/10.1007/s00500-021-05989-7

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