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Electric Motor Drives in Industry: Control Methods, challenges and the role of predictive control
This is an IEEE and RCES online seminar.
To address these limitations, Model Predictive Control (MPC) has been proposed as an alternative, offering improved dynamic performance and the ability to directly handle system constraints. However, model-based MPC is still sensitive to parameter mismatch and modelling errors, which can affect performance in practice.
To improve robustness, data-driven and model-free approaches have been explored, where system behaviour is estimated online from measured data rather than relying fully on predefined models. These methods aim to reduce dependence on parameter accuracy, although they introduce new challenges such as sensitivity to measurement noise and real-time implementation.
This presentation looks at different control strategies for electric drives, from classical methods to predictive and data-driven approaches, and discusses how they relate to practical industrial applications.
Date and Time
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Location
- This event has virtual attendance info. Please visit the event page to attend virtually.
Google Meet joining info
Video call link: https://meet.google.com/qyz-mhni-ewf
Or dial: (CA) +1 587-688-7402 PIN: 826 100 332#
More phone numbers: https://tel.meet/qyz-mhni-ewf?pin=9310824755261
Hosts
- Northern Canada Section Chapter,PEL35
- Northern Canada Sect Aff Grp,YP
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- Co-sponsored by Resilience and Clean Energy Systems (RCES)
Registration
- Starts 24 June 2026 12:00 AM MDT
- Ends 26 June 2026 02:00 PM MDT
- No Admission Charge
Speakers
Joseph O. Akinwumi of University of Alberta
