Remote Servo Tuning System for Multi-Axis CNC Machine Tools Using a Virtual Machine Tool Approach

Lin, Chien Yu; Lee, Ching Hung

doi:10.3390/app7080776

Cited by 16 publications

(10 citation statements)

References 23 publications

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“…This work aimed to increase the system precision of the x-axis. The modeling of the single-axis is presented in Figure 6b [12]. The system's equations assume that the lead screw is a rigid body and were analyzed for both electrical and mechanical integrity according to Equations (1)- (5).…”

Section: Dynamics Modelling Of Feed Drive With DC Servomotormentioning

confidence: 99%

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Fault Tolerant Control Based on an Observer on PI Servo Design for a High-Speed Automation Machine

et al. 2020

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The fault tolerant control (FTC) technique is widely used in many industries to provide tolerance to systems so that they can operate when a system fault occurs. This paper presents a technique for FTC based on the observer signal application, which is used for a high-speed auto core adhesion mounting machine. The utilization of the observer signal information of the linear encoder fault is employed to adjust the gain parameters to achieve the appropriate gain value while maintaining the required performance of the system. The dynamic modeling of the servo motor system design utilizing a pole placement technique was designed to support the proposed method. A scaling gain fault step size adjustment from −1% to 1% with increments of 0.2% is used to simulate the fault conditions of the linear encoder. The statistical mean value of the observer error signal is used to train the artificial neural network (ANN) model. The results showed that the control system design successfully tracked the dynamic response. Furthermore, the ANN model, with more than 98% confidence, was satisfactory in classifying the linear encoder fault condition. The gain compensation was successful in reducing position error by more than 95% compared with the system without compensated gain.

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Section: Dynamics Modelling Of Feed Drive With DC Servomotormentioning

confidence: 99%

“…The PSO algorithm was used to obtain the optimal controller parameters. The simulation and experiment of two-step servo tuning showed the effectiveness of this approach [12]. Indoor air quality (IAQ) monitoring by ANN pattern recognition was proposed.…”

Section: Introductionmentioning

confidence: 98%

Fault Tolerant Control Based on an Observer on PI Servo Design for a High-Speed Automation Machine

et al. 2020

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“…Fig. 1 Generalized structure of CNC system [14] In papers [26][27][28][29], various schemes of the CNC controllers are considered, in which feedforward control is used according to the differential characteristics of motion. The flow of position and speed commands is shown, but the requirements for these commands and the accuracy of setting the data that determine the position and speed of the controlled axis in the CNC are not specified.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Required Discreteness of Interpolation Movement Parameters in Cyber-physical Systems

Kombarov

Tsegelnyk

Plankovskyy

et al. 2021

Period. Polytech. Mech. Eng.

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Improving the accuracy, reliability, and performance of cyber-physical systems such as high-speed machining, laser cutting, welding and cladding etc. is one of the most pressing challenges in modern industry. CNC system carries out data processing and significantly affect on accuracy of operation such equipment. The paper considers the problem of controlled axes motion differential characteristics data processing in the internal representation of the discrete space of the CNC system. Equations for determining the required discreteness of the differential characteristics position and resolution, such as the speed, acceleration, and jerk are proposed. For the most widely used CNC equipment specific discreteness and resolution values have been determined.

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“…Several works developed the virtual machine tool technology which predicts the contour error of the closed loop feed drive system of the CNC machine tools [21][22][23][24][25][26]. However, the virtual machine tool technology proposed by these previous works involved a mechatronic model which integrated the servo driver, mechanics of the feed drive mechanism, and the dynamics of the machine structures.…”

Section: Introductionmentioning

confidence: 99%

Development of an Analyzing and Tuning Methodology for the CNC Parameters Based on Machining Performance

Chen

2020

Applied Sciences

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This paper proposes the development of a tuning methodology which can set the proper values of the Computer Numerical Control (CNC) parameters to achieve the required machining performance. For the conventional operators of machine tools, the CNC parameters were hard to be adjusted to optimal settings, which was a complicated and time-consuming task. To save time in finding optimal CNC parameters, the objective of this research was to develop a practical methodology to tune the CNC parameters effectively for easy implementation in the commercial CNC controller. Firstly, the effect of the CNC parameters in the CNC controller on the tool-path planning was analyzed via experiments. The machining performance was defined in the high-speed (HS) mode, the high-accuracy (HP) mode, and the high-surface-quality (HQ) mode, according to the dynamic errors of several specified paths. Due to the CNC parameters that have a particularly critical effect on the dynamic errors, the relationship between the CNC parameters and the dynamic errors was validated by the measured data. Finally, the tuning procedure defined the anticipated dynamic errors for the three machining modes with the actual machine. The CNC parameters will correspond with anticipated dynamics errors based on several specified paths. The experimental results showed that the HS mode was the fastest to complete the path, and the completion time of the HP and HQ modes were increased by 37% and 6%, respectively. The HP mode had the smallest dynamic errors than other modes, and the dynamic errors of the HS and HQ modes are increased by 66% and 16%. In the HQ mode, the motion oscillation was reduce significantly, and the tracking error of the HS and HP modes were increased by 85% and 28%. The advantage of the methodology is that it simplifies set-up steps of the CNC parameters, making it suitable for practical machine applications.

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Remote Servo Tuning System for Multi-Axis CNC Machine Tools Using a Virtual Machine Tool Approach

Cited by 16 publications

References 23 publications

Fault Tolerant Control Based on an Observer on PI Servo Design for a High-Speed Automation Machine

Fault Tolerant Control Based on an Observer on PI Servo Design for a High-Speed Automation Machine

Investigation of the Required Discreteness of Interpolation Movement Parameters in Cyber-physical Systems

Development of an Analyzing and Tuning Methodology for the CNC Parameters Based on Machining Performance

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