A PMSM speed sensorless control method based on improved sliding mode observer
By improving the control law of the sliding mode observer and combining the filter for secondary filter, the problems of shaking and rotor position estimation in the PMSM speedless sensor control are solved, and the control effect with higher accuracy and robustness is achieved.
CN115459658BActive Publication Date: 2025-03-18SUZHOU UNIV OF SCI & TECH
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Patent Information
- Application Number
- CN202211295114.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-10-21
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2042-10-21
AI Technical Summary
Technical Problem
When traditional sliding mode observers solve the problem that PMSM has difficulty in eliminating vibration and difficulty in estimating rotor position under different speed conditions when there is no speed sensor control.
Method used
By designing an improved sliding mode observer, using a saturation function instead of the switching function, and improving the control law; combining a low-pass filter and a Kalman filter for secondary filtering, more accurate rotor angle information is obtained.
Benefits of technology
The improved sliding mode observer has smaller speed errors and more accurate estimation results, which can effectively eliminate jitter and accurately estimate the rotor position under different speed conditions.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention relates to a PMSM speed sensorless control method based on an improved sliding mode observer, comprising the following steps: Step 1: Establish a mathematical model of a three-phase permanent magnet synchronous motor, design a traditional sliding mode observer according to the mathematical model, and estimate the stator current and back electromotive force based on the traditional sliding mode observer; Step 2: Establish an improved sliding mode observer based on a saturation function, and improve the reaching law of the traditional sliding mode observer; Step 3: Use a low-pass filter and a Kalman filter to perform secondary filtering on the results observed by the improved sliding mode observer to obtain rotor angle information. The present invention solves the switching jitter problem of the traditional sliding mode observer through a smoothly switched saturation function; and solves the output noise problem of the traditional sliding mode observer through secondary filtering composed of a low-pass filter and a Kalman filter. The estimation accuracy obtained by the control method proposed by the present invention is higher and the robustness is better.
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