Control method and system for direct-current brushless gear motor

By real-time monitoring and comparison of motor detection data, operation data and load data, identifying potential faults and automatically selecting control methods, the traditional motor fault diagnosis relies on manual defects is solved, real-time monitoring and efficient diagnosis of motor faults is realized, and production efficiency and equipment reliability are improved.

CN119727468AActive Publication Date: 2025-03-28ZHEJIANG MAILI ELECTROMECHANICAL CO LTD
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Patent Information

Application Number
CN202510240291.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-03
Publication Date
2025-03-28
Estimated Expiration
2045-03-03

AI Technical Summary

Technical Problem

Traditional motor fault diagnosis methods rely on manual inspection and regular maintenance, and cannot monitor the motor status in real time and detect potential faults in time, resulting in increased equipment downtime and reduced production efficiency.

Method used

A control method for brushless DC gear reduction motor is proposed. By obtaining the motor detection data, operation data and load data, and comparing these real-time data with the set preset detection data, monitoring the motor status in real time, identifying potential faults, and automatically selecting the control method according to the fault score and type.

Benefits of technology

Real-time monitoring and timely detection of motor faults is realized, downtime and maintenance costs are reduced, equipment reliability and production efficiency are improved, and more refined and intelligent fault diagnosis is achieved through automatic fault scoring and type judgment.

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Abstract

The invention relates to the technical field of direct-current brushless gear motor auxiliary control, and discloses a control method and system for a direct-current brushless gear motor, and the method comprises the steps: carrying out the control of the direct-current brushless gear motor based on the real-time data during the starting and stopping of the motor, including detection data (such as temperature, vibration, noise and the like), operation data (such as current, voltage, torque and the like), and load data; and comparing and analyzing with preset historical detection data to judge whether the motor has a fault: when a large data difference is detected, evaluating the severity of the motor fault through a fault scoring mechanism. If the fault score exceeds a preset threshold value, early warning is triggered, and a corresponding control method is selected according to the fault type, so that fault processing or control strategy adjustment is carried out, and stable operation of the motor is ensured. According to the invention, the maintenance and fault diagnosis process of the motor is optimized by combining the fault score and the dynamic adjustment of the control strategy and through the real-time monitoring and analysis of the operation data and the load data, and the efficiency and accuracy of fault response are improved.
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