Electric Tool Kickback Detection Using Predicted Center of Gravity
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Solution Overview
Problem
Existing electric tools struggle to accurately predict and distinguish between true kickback and manual kickback, leading to potential injury and mechanical wear, as current detection methods rely on acceleration thresholds and fail to account for user safety.
Innovation Solution
A method using a detection module to measure linear acceleration and angular velocity, predicting the position of the tool's center of gravity to anticipate kickback by comparing predicted and actual positions, and adjusting thresholds based on motor signals for precise braking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If acceleration threshold comparison is used to detect kickback, then the detection method is simple, but it cannot accurately predict kickback occurrence and leads to delayed response
Solution Approach 1:
The patent applies preliminary action by predicting the future position of the tool body before kickback actually occurs. The control module calculates the expected position of the tool body at a future time point based on current acceleration data, and compares this predicted position with the actual position to detect kickback trends early, rather than waiting for the kickback to manifest through simple threshold comparison.
2Object-affected harmful factors
If hard braking is applied to stop kickback, then user safety is improved, but mechanical components suffer wear
Solution Approach 1:
The patent applies feedback by continuously monitoring the position deviation between predicted and actual tool body positions, and using this feedback to dynamically control the braking action. The control module adjusts the braking intensity based on the degree of position deviation, applying stronger braking only when necessary to prevent kickback, thereby avoiding unnecessary mechanical wear from excessive braking.
3Adaptability or versatility
If kickback detection is activated during manual testing, then safety features are demonstrated, but false alarms cause unnecessary braking
Solution Approach 1:
The patent applies dynamics by making the detection system adaptive to different operational states. The control module analyzes the characteristics of acceleration signals to distinguish between normal manual testing movements and actual kickback events, dynamically adjusting the detection sensitivity and braking response accordingly. This allows the system to remain sensitive to real kickback while being tolerant of benign manual operations.
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
Accurately predicts kickback occurrence, reducing user injury and mechanical wear by enabling timely and appropriate braking, independent of motor current or speed information.
Implementation Method 1
a detection module, the detection module being designed to detect a linear acceleration and an angular velocity of the working component
Implementation Method 2
detecting the linear acceleration by means of the detection module, subtracting gravitational acceleration from the linear acceleration to form an adjusted linear acceleration
Data Source
AI summary
An electronic tool (1) and a method for detecting kickback of the tool (1), the electric tool (1) including a housing (2), a power supply module, an electric motor (4), a working component (3), a control module (5) and a detection module (6). The detection method (6) predicts a position of the centre of gravity (C) of the working component (3) of the electric tool (1) in the relevant immediate future by the linear speed and rotational speed of the working component (3) collected by the detection module (6), compares a displacement between the predicted position and an actual position with a pre-set threshold, and when the displacement exceeds the pre-set threshold, determines that kickback is about to occur.