Adaptive Filtering Device for Hydraulic Excavator Noise Elimination
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Solution Overview
Problem
Existing control systems for machinery, such as hydraulic excavators, face challenges in accurately eliminating noise from measurement data due to varying attitude and drive statuses, which affects the precision of control operations.
Innovation Solution
A filtering device and method that includes a noise-characteristic estimation means to analyze the noise characteristics based on the machine's status information and a filtering adjustment means to adjust the filtering process accordingly, using a noise-characteristic estimation table or other methods to select appropriate noise characteristics for filtering adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed filtering parameters are used to eliminate noise from measurement data, then the filtering process is simple and fast, but the noise elimination accuracy deteriorates when the machine's attitude or drive status changes
Solution Approach 1:
The patent implements dynamic filtering by making the filtering parameters variable based on the machine's current status. The control device adjusts filtering parameters in real-time according to changes in attitude status (from attitude sensors) and drive status (from drive control information), transforming the static filtering process into a dynamic adaptive process that maintains high noise elimination accuracy across different operating conditions.
Solution Approach 2:
The patent changes the filtering parameters based on the machine's operating conditions. By monitoring attitude status and drive status, the system selects or adjusts filtering parameters (such as cutoff frequencies, filter orders, or filter types) to match the current noise characteristics, thereby optimizing noise elimination accuracy for each specific operating scenario.
2Measurement precision
If the filtering parameters are adjusted according to the machine's attitude and drive status, then the noise elimination accuracy is improved, but the processing time and computational load increase
Solution Approach 1:
The patent performs preliminary classification by establishing predetermined categories of operating conditions (different attitude statuses and drive statuses). The control device determines which category the current operation falls into and applies the corresponding pre-configured filtering parameters, avoiding the need for complex real-time calculations and reducing processing time while maintaining adaptive noise elimination accuracy.
Solution Approach 2:
The system uses feedback from attitude sensors and drive control information to continuously monitor the machine's operating status. This feedback mechanism enables the control device to automatically adjust filtering parameters based on actual operating conditions, ensuring accurate noise elimination while maintaining efficient real-time processing through closed-loop control.
Data Source
AI summary
A filtering device is configured to estimate the characteristics of noise superposed on measurement data relating to the status of a controlled machine based on the status information representing the status of a controlled machine, thus adjusting the filtering to eliminate noise based on the estimated noise characteristics.