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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

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Integrated Controller Design and Application for CNC Machine Tool Servo Systems Based on Model Reference Adaptive

Taihao Zhang¹, Xuewei Li¹, Hongdong Gai²

¹School of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.

Sensors (Basel, Switzerland)

|December 23, 2023

Summary

This study introduces an adaptive sliding mode control (ASMC) method using model reference adaptive control (MRAC) to enhance computer numerical control (CNC) machine tool accuracy. The new approach significantly reduces friction effects and improves motion control performance.

Keywords:

adaptive sliding mode control dynamics model for CNC machines model reference adaptive control nonlinear friction

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Operation of the Collaborative Composite Manufacturing CCM System

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Published on: October 1, 2019

Area of Science:

Control Systems Engineering
Robotics and Automation
Mechanical Engineering

Background:

Computer numerical control (CNC) machine tools face challenges with nonlinear friction and time-varying factors impacting motion control accuracy.
Traditional sliding mode control (SMC) can be sensitive to parameter variations and disturbances.

Purpose of the Study:

To develop and validate an adaptive sliding mode control (ASMC) method integrated with model reference adaptive control (MRAC) for CNC machine tools.
To mitigate the effects of nonlinear friction and improve overall motion control precision.

Main Methods:

The proposed method employs ASMC in the outer control loop and MRAC in the inner loop.
Optimal control parameters are achieved through continuous SMC law and adaptive estimation.
MRAC enhances system invariance, allowing SMC to meet disturbance matching conditions more effectively.

Main Results:

The ASMC based on MRAC reduced following error by 71.2% compared to traditional SMC.
High-frequency chattering was reduced by a maximum magnitude of 89.02%, enhancing system stability.
Significant improvements in motion control accuracy and system stability were demonstrated.

Conclusions:

The ASMC based on MRAC effectively suppresses nonlinear friction and improves the motion control accuracy of CNC machine tools.
This advanced control strategy offers superior performance and stability compared to conventional SMC.
The method provides a robust solution for enhancing precision in automated manufacturing systems.