Self-adaptive control method and system for linear motor of shaver

By employing an adaptive control method, utilizing envelope attenuation analysis and overshoot phase difference detection, the control deviation problem of the shaver linear motor under complex load conditions was solved. This enabled early warning and adaptive adjustment of motor characteristic drift, improving shaving performance and motor stability.

CN122456947AActive Publication Date: 2026-07-24WENZHOU LIQIAO ELECTRONICS CO LTD
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Patent Information

Application Number
CN202610946336.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-29
Publication Date
2026-07-24
Estimated Expiration
2046-06-29

AI Technical Summary

Technical Problem

When shaving in different facial areas, the linear motor of the shaver causes dynamic deviations in the control input and vibration response due to changes in the load environment. Existing control strategies cannot detect phase shifts and amplitude fluctuations in real time, resulting in a decrease in shaving performance and motor protection actions.

Method used

By analyzing envelope attenuation, an early warning indicator for drift is output. An error verification matrix is ​​established by combining overshoot phase difference detection and matching with a reference spectrum library. Priority gain allocation for the leading phase segment is implemented, an excitation sequence is generated for pseudo-convergent oscillation detection, and adaptive control parameters are output.

Benefits of technology

It improves the accuracy of identifying the source of deviation under different load conditions, accurately detects abnormal phase shifts, realizes autonomous parameter correction under the cumulative degradation of motor characteristics, and improves shaving effect and motor stability.

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Abstract

The invention discloses a self-adaptive control method and system for a linear motor of a shaver, and the method comprises the steps: collecting control input data and response data, analyzing the correlation characteristics of an envelope attenuation tail section, and outputting a drift early warning identifier; carrying out overshoot phase difference detection on input and output data, and combining with sub-working-condition spectrum library matching to establish an error check matrix; performing leading phase section priority gain distribution on the error check matrix according to the drifting early warning identifier to form a gain rule group, and performing multi-working-condition phase time difference analysis and deviation overrun judgment to position abnormal characteristic points; activating the gain rule group to obtain an excitation sequence, and evaluating an output amplitude stability index through pseudo convergence oscillation detection and cross-load reverse correlation intensity; and a control characteristic map is constructed in combination with the amplitude stability index and the excitation sequence deviation interval characteristics, adaptive control parameters are output through parameter deviation mapping to complete control parameter configuration of the linear motor, and adaptive control parameter configuration of the linear motor under variable working conditions is realized.
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