Systems and methods for high performance filtering techniques for sensorless direct position and speed estimation

    公开(公告)号:US11671042B2

    公开(公告)日:2023-06-06

    申请号:US17484313

    申请日:2021-09-24

    Inventor: Matthias Preindl

    CPC classification number: H02P21/13 H02P21/18 H03H21/0043 H03H2021/0061

    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.

    Systems and methods for high performance filtering techniques for sensorless direct position and speed estimation

    公开(公告)号:US11159112B2

    公开(公告)日:2021-10-26

    申请号:US16697630

    申请日:2019-11-27

    Inventor: Matthias Preindl

    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.

    System and methods for high performance filtering techniques for sensorless direct position and speed estimation

    公开(公告)号:US12301140B2

    公开(公告)日:2025-05-13

    申请号:US18137874

    申请日:2023-04-21

    Inventor: Matthias Preindl

    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.

    SYSTEMS AND METHODS FOR HIGH PERFORMANCE FILTERING TECHNIQUES FOR SENSORLESS DIRECT POSITION AND SPEED ESTIMATION

    公开(公告)号:US20200177117A1

    公开(公告)日:2020-06-04

    申请号:US16697630

    申请日:2019-11-27

    Inventor: Matthias Preindl

    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.

    MOTOR CONTROL USING PIECEWISE AFFINE MODEL

    公开(公告)号:US20250096709A1

    公开(公告)日:2025-03-20

    申请号:US18730268

    申请日:2023-01-27

    Abstract: Disclosed are systems and methods for motor control using piecewise affine modelling. An electronic controller may determine current values for a motor in a rotational reference frame. Each current value may be associated with a dimension of a set of dimensions of the rotational reference frame. The electronic controller may further determine, based on the current values, a flux linkage value for each of the set of dimensions of the rotational reference frame using a piecewise affine map. The electronic controller may further determine a target flux linkage value for each of the set of dimensions of the rotational reference frame. The electronic controller may then control a power switching network coupled between a power supply and the motor based on the flux linkage values and the target flux linkage values.

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