A data model-driven prediction and compensation strategy for load disturbances in CNC machine tool feeding systems via digital twin technology

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

To address the problem of dynamic performance fluctuations in feed system CNC machine tools due to load perturbation, which turn affects machining accuracy, this paper proposes a prediction and compensation strategy that combines digital twin technology with dual-drive mechanism data model based on two-axis system. First, tool feeding is constructed simulate compensate for perturbation realize virtual mapping actual behavior. Subsequently, recursive least squares method variable forgetting factor combined GRU-gated recurrent neural network used dynamically correct model’s results. Finally, updating experimental results at visualization level interaction between reality fiction realized by building platform. The show can control relative error within 4% 6%, significantly improve quality workpiece surface overall tool.

Language: Английский

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Disturbance Observer-Based Dynamic Surface Control for Servomechanisms with Prescribed Tracking Performance

Mathematics, Journal Year: 2025, Volume and Issue: 13(1), P. 172 - 172

Published: Jan. 6, 2025

The critical design challenge for a class of servomechanisms is to reject unknown dynamics (including internal uncertainties and external disturbances) achieve the prescribed performance tracking error. To get rid influence dynamics, an extended state observer (ESO) employed estimate system states total does not require priori information known dynamic. Meanwhile, improved function presented guarantee transient error (e.g., overshoot, convergence rate, steady error). Consequently, modified dynamic surface control strategy designed based on estimations ESO constraints. stability proposed demonstrated using Lyapunov theory. Finally, some simulation results turntable servomechanism show that method effective, it has better effect stronger anti-disturbance ability compared with traditional method.

Language: Английский

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Multivariable Iterative Learning Control Design for Precision Control of Flexible Feed Drives

Sensors, Journal Year: 2024, Volume and Issue: 24(11), P. 3536 - 3536

Published: May 30, 2024

Advancements in machining technology demand higher speeds and precision, necessitating improved control systems equipment like CNC machine tools. Due to lead errors, structural vibrations, thermal deformation, commercial controllers commonly use rotary encoders the motor side close position loop, aiming prevent insufficient stability premature wear damage of components. This paper introduces a multivariable iterative learning (MILC) method tailored for flexible feed drive systems, focusing on enhancing dynamic positioning accuracy. The MILC employs error data from both table sides, precision by injecting compensation commands into reference trajectory command through norm-optimization process. effectively mitigates conflicts between feedback (FBC) traditional (ILC) structures, achieving smaller tracking errors side. performance efficacy system are experimentally validated an industrial biaxial tool, demonstrating its potential modern equipment.

Language: Английский

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Model Predictive Control of Aero-Mechanical Actuators with Consideration of Gear Backlash and Friction Compensation

Electronics, Journal Year: 2024, Volume and Issue: 13(20), P. 4021 - 4021

Published: Oct. 12, 2024

To address the issues of low positional accuracy and significant torque pulsation caused by gear backlash nonlinear friction in mechanical transmission mechanism aeronautical flap electromechanical actuators, we propose a model predictive control method for actuator considering compensation. Firstly, actuator’s design corresponding current compensation using simplified dead zone model. Secondly, LuGre is introduced, developed to generated during system operation. Finally, proposed strategies are employed mitigate adverse effects on performance. The simulation results demonstrate that enhances position tracking accuracy, reduces pulsation, significantly improves overall performance system.

Language: Английский

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Continuous-time Lyapunov stability analysis and systematic parametrization of robust adaptive sliding mode controller for systems with matched and unmatched dynamics

International Journal of Dynamics and Control, Journal Year: 2024, Volume and Issue: 12(9), P. 3426 - 3448

Published: May 13, 2024

Language: Английский

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