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Adaptive Neural Controller for Speed Control of PMSM with Torque Ripples


[ 1 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics and electrical engineering

Year of publication


Chapter type

chapter in monograph / paper

Publication language


  • adaptive networks
  • motion control
  • permanent magnet synchronous motor
  • torque ripple

EN This paper presents a novel approach to backpropagation adaptation of neural controller for motion control application. Authors propose modification to classical error backpropagation algorithm along with general tuning methods. Multistep process of adaptive neural controller development is presented, including: simulation results, hardware-in-the-loop experiment and final experimental verification on direct drive with permanent magnet synchronous motor. Main research goal was to develop real-time training method for neural-network-based controller that will remain stable for long periods and is easy to deploy on various hardware platforms.

Pages (from - to)

564 - 570



Proceedings 2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC)

Presented on

20th International Power Electronics and Motion Control Conference (PEMC), 25-28.09.2022, Braszów, Rumunia

Ministry points / chapter


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