Machining Tool Thermal Compensation Using Kalman Model Aggregation
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Solution Overview
Problem
Current thermal compensation models for machining tools are ineffective in varying ambient temperatures, leading to poor compensation effectiveness due to their reliance on stable temperature conditions.
Innovation Solution
A machining tool thermal compensation system based on an aggregation model, which includes a calculating module executing two thermal compensation models (one for motor temperature and one for environmental temperature) and a processing module using a Kalman filter-based aggregation model to generate optimized compensation values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If thermal compensation models are established under stable ambient temperature conditions, then the model development is simple and fast, but the compensation effectiveness deteriorates when ambient temperature varies
Solution Approach 1:
The patent segments the thermal compensation problem into two independent components: motor temperature compensation and ambient temperature compensation. By creating separate compensation models for each factor, the system can develop models quickly under controlled conditions while maintaining high compensation effectiveness across varying ambient temperatures through the aggregation of specialized models.
2Reliability
If a large amount of experiment data is collected at different ambient temperatures to enhance model robustness, then the compensation effectiveness improves, but the time and labor costs increase significantly
Solution Approach 1:
The patent divides the data collection and modeling process into separate segments for motor temperature and ambient temperature. This allows experiment data to be collected efficiently under controlled conditions for each factor independently, rather than requiring extensive data collection across all possible combined conditions, thus reducing time and labor costs while maintaining model robustness.
Solution Approach 2:
The patent performs preliminary actions by collecting experiment data and establishing compensation models for motor temperature and ambient temperature separately under controlled conditions before actual operation. This pre-established segmented model structure enables the system to handle varying ambient temperatures effectively without requiring extensive real-time data collection.
3Device complexity
If existing thermal compensation models are used without considering ambient temperature variations, then the system complexity remains low, but the compensation precision deteriorates in varying temperature environments
Solution Approach 1:
The patent segments the compensation system into distinct modules for motor temperature and ambient temperature, each handled by dedicated compensation models. This segmentation maintains relatively low system complexity by treating each thermal factor independently while significantly improving compensation precision through the aggregation of specialized models that address each factor's specific characteristics.
Solution Approach 2:
The patent introduces an aggregation model as an intermediary that combines the outputs of motor temperature compensation and ambient temperature compensation models. This intermediary structure integrates multiple compensation sources without creating excessive system complexity, while achieving high compensation precision by synthesizing the effects of different thermal factors.
Data Source
AI summary
A machining tool thermal compensation system based on an aggregation model includes a calculating module and a processing module. The calculating module executes a first thermal compensation model and a second thermal compensation model. The first thermal compensation model is only related to motor temperature change and the second thermal compensation model is only related to environmental temperature change. The processing module executes an aggregation model based on Kalman filter. The calculating module inputs the motor temperature of a target machining tool at a time point into the first thermal compensation model to generate a first compensation value and inputs the environmental temperature of the target machining tool at this time point into the second thermal compensation model to generate a second compensation value. The processing module executes the aggregation model according to the two compensation values to generate a modified compensation value of this time point.