Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...
We invite you to join our industry specialists for a virtual session on how to use Bloomberg functionality in Excel. This expert-led webinar will focus on equity-related functions relevant to a broad ...
Abstract: This article proposes a new current control for switched reluctance motor (SRM) drives. The proposed method is based on the principles of model-free predictive control. Therefore, it ...
From Reactive Response to Predictive Defense: How Utilities Are Using Drones to Reduce Wildfire Risk
As extreme weather and wildfire risk continue to threaten utility infrastructure across North America, many grid operators are rethinking how they identify and manage ignition hazards. Drones are ...
Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...
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