Automated Friction Coefficient Estimation in Motion Control Systems
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Solution Overview
Problem
Conventional motion control systems face challenges in accurately estimating inertia and friction coefficients, which are crucial for optimal system tuning and performance, often requiring cumbersome manual calculations and trial-and-error approaches.
Innovation Solution
An automated system that generates torque control signals varying continuously over time, allowing the motor to accelerate and decelerate, and records velocity data to calculate estimated inertia and friction coefficients using defined testing sequences and integral calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calculations are used to estimate inertia and friction coefficients, then the estimation process can be performed without additional equipment, but the process becomes cumbersome and time-consuming with reduced accuracy
Solution Approach 1:
The patent replaces manual mechanical calculation methods with an automated electronic system that uses a controller to generate torque control signals, measure velocity responses, and automatically compute inertia and friction coefficients through integral calculations, thereby eliminating the time-consuming and error-prone manual calculation process
Solution Approach 2:
The system enables self-measurement by automatically performing the estimation of inertia and friction coefficients through integrated hardware and software that conducts testing sequences, collects data, and computes parameters without requiring external manual intervention or specialized equipment beyond the motion control system itself
2Productivity
If trial-and-error approaches are used for system tuning, then no additional measurement equipment is needed, but the tuning process becomes inefficient and system performance is compromised
Solution Approach 1:
The patent implements a feedback-based tuning system where the controller measures the actual velocity response of the mechanical system to applied torque signals, compares it with expected responses, and automatically adjusts control parameters to optimize performance, replacing inefficient trial-and-error methods with a systematic feedback-driven approach
Solution Approach 2:
The system performs preliminary measurement of system parameters (inertia and friction coefficients) before final tuning, using dedicated testing sequences to characterize the mechanical system's dynamic properties, thereby enabling more accurate and efficient subsequent tuning operations
3Measurement precision
If automated testing sequences are implemented, then the estimation accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent makes the controller perform multiple functions: it acts as both the motion control device and the measurement instrument, using the same hardware resources to execute testing sequences, measure velocity responses, and compute parameters, thereby achieving automated accurate measurement without adding dedicated complex measurement equipment
Data Source
AI summary
Systems and methods for estimating an inertia and a friction coefficient for a controlled mechanical system are provided. In one or more embodiments, an inertia estimator can generate a torque command signal that varies continuously over time during a testing sequence. The velocity of a motion system in response to the time-varying torque command signal is measured and recorded during the testing sequence. The inertia estimator then estimates the inertia and/or the friction coefficient of the motion system based on the torque command data sent to the motion system and the measured velocity data. In some embodiments, the inertia estimator estimates the inertia and the friction coefficient based on integrals of the torque command data and the velocity data.