Clutch Characteristic Curve Adjustment for Slip and Impact Control
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Solution Overview
Problem
Existing clutch control systems face issues with excessive slip or impact due to unreflected changes in clutch torque characteristics caused by wear, thermal deformation, and friction coefficient changes, necessitating a method to precisely adjust the clutch characteristic curve for accurate actuator control.
Innovation Solution
A method that adjusts the clutch characteristic curve by calculating convergence values and difference values at control points, determining new characteristic curve values based on preset reference values and step sizes, and updating the curve to suppress transient responses while maintaining the overall shape, using Equation 1 for calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the clutch characteristic curve is adjusted rapidly to reflect current clutch state, then the control precision is improved, but excessive transient response occurs causing slip and impact
Solution Approach 1:
The clutch characteristic curve is designed to be dynamically adjustable with different rates of change for different segments. The method divides the curve into multiple segments and applies different adjustment strategies to each segment, allowing the curve to adapt to clutch state changes while controlling the rate of change to prevent excessive transient response
Solution Approach 2:
The method changes the parameters of the characteristic curve (torque-stroke relationships) based on learned clutch state data. By calculating convergence values and comparing them with current characteristic curve values, the system adjusts curve parameters to reflect current clutch conditions while maintaining stability through controlled parameter transition
2Reliability
If the clutch characteristic curve is adjusted to reflect wear and thermal deformation, then the reliability is improved, but the complexity of control increases
Solution Approach 1:
The system implements a learning mechanism that continuously monitors clutch performance and feeds back information about clutch state changes. This feedback is used to automatically adjust the characteristic curve, improving reliability without requiring complex manual intervention. The control unit learns from operational data and adapts the curve accordingly
Solution Approach 2:
The clutch control system performs self-adjustment through the learning mechanism. The control unit automatically updates the characteristic curve based on learned clutch state, eliminating the need for manual recalibration and reducing operational complexity while maintaining high reliability
Data Source
AI summary
A method for adjusting a clutch characteristic curve, including obtaining a torque-stroke learning value for adjusting the clutch characteristic curve, calculating a convergence value for each control point of the clutch characteristic curve, calculating a difference value between the convergence value and a characteristic curve value for each control point, and determining a new characteristic curve value of each control point according to whether a maximum value of the calculated difference values exceeds a preset reference value.