Invention Grant
- Patent Title: System and methods for high performance filtering techniques for sensorless direct position and speed estimation
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Application No.: US18137874Application Date: 2023-04-21
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Publication No.: US12301140B2Publication Date: 2025-05-13
- Inventor: Matthias Preindl
- Applicant: The Trustees of Columbia University in the City of New York
- Applicant Address: US NY New York
- Assignee: The Trustees of Columbia University in the City of New York
- Current Assignee: The Trustees of Columbia University in the City of New York
- Current Assignee Address: US NY New York
- Agency: Quarles & Brady, LLP
- Main IPC: H02P21/13
- IPC: H02P21/13 ; H02P21/18 ; H03H21/00

Abstract:
Disclosed are implementations, including a method that includes obtaining measurement samples relating to electrical operation of an electric motor drive providing power to an electric motor, deriving, based on the samples, instantaneous estimates for parameters characterizing speed and/or position of the motor according to an optimization process based on a cost function defined for the samples, and applying a filtering operation to the instantaneous estimates to generate filtered values of the motor's speed and/or position. The filtering operation includes computing the filtered values using the derived instantaneous estimates in response to a determination that a computed convexity of the cost function is greater than or equal to a convexity threshold value, and/or applying a least-squares filtering operation to the derived instantaneous estimates and using at least one set of previous estimates derived according to the optimization process applied to previous measurement samples.
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