Electric Motor Vibration Diagnosis With Frequency-Based Gain Control
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Solution Overview
Problem
Existing electric motor deterioration diagnosis techniques, such as PTL 1, do not consider vibration frequency and cycle, and lack methods to reduce vibration after diagnosis.
Innovation Solution
A deterioration diagnosis device and method that includes a power convertor, position controller, speed controller, and electric current controller, which perform deterioration diagnosis based on operation information and store vibration data to adjust control gains and suppress vibrations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only vibration amount is used for deterioration diagnosis, then the diagnosis method is simple, but the diagnosis accuracy is insufficient because other vibration factors such as frequency and cycle are not considered
Solution Approach 1:
The vibration diagnosis is segmented into multiple independent parameters: vibration amount, vibration frequency, and vibration cycle. Each parameter is extracted and analyzed separately from the operation information, allowing comprehensive deterioration diagnosis without requiring a single complex vibration metric. This segmentation enables accurate diagnosis while maintaining manageable system complexity.
2Object-generated harmful factors
If vibration diagnosis is performed without considering multiple vibration factors, then the system complexity is low, but the ability to suppress vibration after diagnosis is insufficient
Solution Approach 1:
The system implements feedback control by continuously monitoring vibration parameters (amount, frequency, cycle) and adjusting control gains based on the diagnosis results. When deterioration is detected through multi-parameter analysis, the system automatically modifies control parameters to suppress vibration, creating a closed-loop control mechanism that addresses harmful vibrations effectively.
Solution Approach 2:
The system changes control parameters (control gains) dynamically based on the diagnosed vibration state. By adjusting these parameters in response to detected deterioration patterns across multiple vibration dimensions, the system optimizes vibration suppression performance while adapting to changing motor conditions.
Data Source
AI summary
Provided are a deterioration diagnosis device and deterioration diagnosis method that make it possible to carry out accurate deterioration diagnosis that takes into consideration not only vibration quantity but also other vibration factors such as vibration cycle. This deterioration diagnosis device is provided separately from or so as to be integrated with an electric motor control device comprising a power converter for outputting power for driving an electric motor connected to a device to be driven, a position controller for outputting a speed command value corresponding to the deviation between a position command value and an electric motor position detection value, a speed controller for outputting a torque current command value corresponding to the deviation between the speed command value and an electric motor speed detection value, and a current controller for adjusting the output current of the power converter according to the deviation between the torque current command value and a detection value for the torque current supplied to the electric motor. The deterioration diagnosis device comprises a deterioration diagnosis unit for carrying out electric motor deterioration diagnosis corresponding to electric motor driving information and a vibration information storage device for storing the diagnosis results of the deterioration diagnosis unit. The deterioration diagnosis unit stores a plurality of types of information relating to the electric motor vibration state that have been calculated from the driving information in the vibration information storage device and determines that vibration has occurred if the information relating to the vibration state of the electric motor is larger than a prescribed threshold.


