Power Tool Anti Bind-Up Control via Dynamic Threshold Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Power tools experience bind-up conditions due to the motor getting stuck, leading to potential damage and safety hazards, and existing systems lack effective methods to detect and respond to these conditions.
Innovation Solution
A power tool system with a controller that uses sensors to monitor rotational motion, adjust thresholds based on detected events, and initiate protective operations such as braking or throttling to prevent bind-up, incorporating machine learning and adaptive algorithms to enhance detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed rotational motion threshold is used to detect bind-up conditions, then the detection system is simple to implement, but it cannot adapt to varying operational conditions leading to false positives or missed detections
Solution Approach 1:
The patent implements dynamic threshold adjustment by continuously adapting the rotational motion threshold based on real-time operational conditions. The controller modifies the threshold values during operation to match actual working conditions, transforming the static detection system into a dynamic one that maintains high accuracy across varying scenarios without requiring multiple fixed thresholds for different conditions.
Solution Approach 2:
The system changes the threshold parameter dynamically based on detected operational events. When specific events are detected (such as changes in rotational patterns or operational states), the controller automatically adjusts the threshold values to appropriate levels, allowing the same hardware to achieve high detection accuracy across diverse conditions without increasing physical complexity.
2Measurement precision
If the rotational motion threshold is lowered to improve detection sensitivity, then bind-up conditions are detected more accurately, but normal operational variations cause false positive detections
Solution Approach 1:
The system dynamically adjusts the threshold parameter based on operational context. Rather than using a single low threshold that causes false positives, the controller modifies threshold values in response to detected events and operational conditions, maintaining high sensitivity for actual bind-up conditions while filtering out normal operational variations that would otherwise trigger false alarms.
Solution Approach 2:
The system incorporates feedback mechanisms where the controller continuously monitors operational data and uses this information to adjust threshold settings. This feedback loop allows the system to learn from operational patterns and distinguish between normal variations and actual bind-up conditions, reducing false positives while maintaining detection sensitivity.
3Reliability
If multiple thresholds and algorithms are used to improve detection accuracy, then bind-up detection becomes more reliable, but the control system becomes more complex and harder to implement
Solution Approach 1:
The patent employs dynamic algorithm selection where the controller adapts which detection algorithm or threshold level to use based on real-time operational conditions. Rather than running multiple complex algorithms simultaneously, the system dynamically switches between or combines algorithms based on what is most appropriate for the current operational state, achieving high reliability while managing computational complexity.
Solution Approach 2:
The system changes algorithmic parameters and detection strategies dynamically based on operational events. The controller selects and adjusts algorithm parameters in response to detected conditions, allowing the system to achieve high detection reliability across different scenarios without requiring all algorithms to be active at once, thus managing overall system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively prevents bind-up by dynamically adjusting control parameters and initiating protective measures, reducing tool and user safety risks through precise detection and responsive actions.
Implementation Method 1
a motion sensor configured to sense rotational motion of the housing
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems and methods for detecting and acting on bind-up conditions of a power tool. The power tool includes a housing, a motor within the housing. a battery pack configured to provide current to the motor, a motion sensor configured to sense rotational motion of the housing, and an electronic controller connected to the motor, the battery pack, and the motion sensor. The electronic controller is configured to receive an input associated with a distance between the housing and an object, adjust a rotational motion threshold used to determine a bind-up event based on the input, receive, from the motion sensor, a first signal indicative of rotational motion of the housing, compare a first value based on the first signal to the rotational motion threshold, and initiate, in response to the first value being greater than or equal to the rotational motion threshold, a protective operation.