Encoder Abnormality Cause Analysis with Non-Volatile Memory
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Solution Overview
Problem
Existing encoder systems lack effective mechanisms for detecting and analyzing abnormalities in motor position and speed, leading to inefficiencies in identifying the cause of detected issues and requiring large memory capacities for storing state information.
Innovation Solution
The proposed encoder system includes a position detector, abnormality detector, cause analyzer, and non-volatile memory controller, which detects abnormalities, analyzes state information to identify causes, and stores analysis results in non-volatile memory, reducing the need for extensive memory storage and improving analysis accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If state information is stored in large memory capacity to enable abnormality analysis, then analysis accuracy is improved, but memory requirements and device complexity increase
Solution Approach 1:
The patent extracts only the essential state information needed for abnormality cause analysis from the complete set of encoder operating data. The cause analyzer selectively processes specific parameters (such as position detector state, signal characteristics) rather than storing and analyzing all possible state information, thereby reducing memory requirements while maintaining analysis accuracy.
Solution Approach 2:
The patent performs preliminary processing of state information by the cause analyzer to identify and extract only the relevant data needed for abnormality analysis. This preliminary action filters out unnecessary information before storage, reducing the memory capacity required while ensuring that the essential information for accurate cause identification is preserved.
2Reliability
If all state information is stored for abnormality analysis, then complete analysis is possible, but loss of time for data processing increases
Solution Approach 1:
The cause analyzer extracts only the critical state information parameters that are directly relevant to abnormality cause identification. By selecting and processing only these essential parameters rather than analyzing all stored state information, the system maintains complete and reliable abnormality detection while significantly reducing the time required for data processing.
Solution Approach 2:
The patent applies partial action by processing only the necessary subset of state information required for cause analysis rather than performing exhaustive analysis of all available data. This approach achieves sufficient analysis completeness for reliable abnormality detection while avoiding the excessive processing time that would result from analyzing unnecessary information.
3Reliability
If voltage abnormality detection is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The voltage abnormality detection function is merged with the existing cause analyzer and control device in the encoder. Rather than implementing voltage detection as a separate independent circuit, the patent integrates it into the existing control architecture, thereby improving reliability through comprehensive monitoring while minimizing the increase in device complexity by utilizing existing structural components.
Data Source
AI summary
An encoder includes a measurement target which is coupled to a motor, a module which is positioned relative to the measurement target and generates signals based on motion of the measurement target, and a control device which generates and outputs position data based on the signals from the module and includes a position detector, an abnormality detector, a cause analyzer, a non-volatile memory, and a non-volatile memory controller. The position detector detects a position of the motor, the abnormality detector detects an abnormality based on state information including a state of the position detector, the cause analyzer analyzes the state information when the abnormality detector detects the abnormality such that a cause of the abnormality detected by the abnormality detector is identified, and the non-volatile memory controller stores in the non-volatile memory a result of analysis obtained by the cause analyzer.