Excavator Adaptive Control Using Handle Displacement and Angle Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Excavators require manual adjustment of working condition modes by drivers, leading to inefficiency and reduced operator experience due to frequent changes in working conditions, as existing systems lack adaptive control methods to automatically match flow distribution with current conditions.
Innovation Solution
An adaptive control method that identifies the current working condition of an excavator using detection parameters such as the displacement of an electric control handle and angle information, adjusting control parameters like pump current and priority gain to optimize for minimum fuel consumption and maximum efficiency without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual switching of working condition modes is implemented, then the excavator can adapt to different working conditions, but the driver burden increases and operating efficiency decreases
Solution Approach 1:
The system automatically identifies the current working condition and adjusts control parameters without requiring driver intervention. The control device monitors detection parameters (electric control handle displacement, angle information) and autonomously determines the appropriate working condition mode, making the system self-adjusting and eliminating manual switching operations.
Solution Approach 2:
The system continuously monitors detection parameters including electric control handle displacement and angle information of action mechanisms, uses this feedback to identify the current working condition, and automatically adjusts control parameters accordingly. This closed-loop feedback mechanism ensures the excavator adapts to changing working conditions in real-time without driver input.
2Adaptability or versatility
If manual switching of working condition modes is implemented, then the excavator can adapt to different working conditions, but operating efficiency reduces due to frequent switching
Solution Approach 1:
The control device autonomously monitors detection parameters and identifies working conditions without requiring driver intervention. This self-service capability eliminates the time drivers would spend manually switching modes, maintaining continuous operation and improving productivity while preserving adaptability to changing conditions.
Solution Approach 2:
The system continuously monitors detection parameters and maintains appropriate control parameters without interruption for manual switching. This continuous automatic adjustment ensures uninterrupted operation and maximizes productivity by eliminating the operational gaps that occur during manual mode transitions.
3Adaptability or versatility
If preset working condition modes are used, then the excavator can handle common working conditions, but frequent changes in actual operations require frequent mode switching
Solution Approach 1:
Instead of requiring drivers to manually select from preset modes, the system automatically identifies the current working condition by monitoring detection parameters and autonomously adjusts control parameters. This eliminates the need for frequent manual mode switching while maintaining comprehensive coverage of various working conditions through automatic adaptation.
Solution Approach 2:
The system dynamically adjusts control parameters based on real-time detection parameters rather than relying on static preset modes. This dynamic adaptation allows the excavator to smoothly transition between different working conditions without the discrete switching required by preset modes, reducing the frequency and impact of mode changes.
4Productivity
If automatic identification of working condition is implemented, then control efficiency improves, but detection and measurement complexity increases
Solution Approach 1:
The system uses a multi-functional detection approach where the same detection parameters (electric control handle displacement, angle information) serve multiple purposes: identifying working conditions, determining control parameter adjustments, and monitoring system state. This universal use of detection data improves control efficiency while managing complexity through parameter reuse.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The present disclosure provides an adaptive control method applicable to an excavator. The adaptive control method includes: acquiring detection parameters of the excavator, the detection parameters comprising a displacement of an electric control handle of the excavator and angle information of the excavator; identifying a current working condition of the excavator based on the detection parameters; and adjusting control parameters of the excavator based on the current working condition. According to the adaptive control method provided by the present disclosure, the current working condition is identified by using the displacement of the electric control handle and the angle information of the excavator, and then the control parameters of the excavator are adjusted based on the current working condition, so that the control parameters are automatically adjusted with change of the current working condition, which improves control efficiency of the excavator.