Data Research, Vol. 4, Issue 5, Oct  2020, Pages 19-28; DOI: https://doi.org/10.31058/j.data.2020.45003 https://doi.org/10.31058/j.data.2020.45003

Approach to Effective Stability Consideration for CNC Machine-Tool Positional Control System

, Vol. 4, Issue 5, Oct  2020, Pages 19-28.

DOI: https://doi.org/10.31058/j.data.2020.45003

Win Myat Mon 1*

1 Department of Electronic Engineering, Technological University (Taunggyi), Aye Thar Yar, Myanmar

Received: 1 August 2020; Accepted: 20 September 2020; Published: 12 October 2020

Download PDF | Views 24 | Download 14

Abstract

The paper presents the approaching to effective stability consideration for CNC machine-tool positional control system in Industrial automation with flexible manufacturing system. The problem in this study is stability condition in positional control design for CNC machines. The solution to resolve that research problem is to design the effective controller design for automation system in reality. There has been numerical analysis for stability checks based on the ultimate concepts in the control problem formulation. The experimental data are from the specification of the standard parameters for practical application. The experimental results and simulation results confirm that the developed controller design for specific control system met the high performance condition for the automation system design.

Keywords

Stability Test, CNC machine, Machine-Tool System, Positional Control System, Numerical Analysis

Copyright

© 2017 by the authors. Licensee International Technology and Science Press Limited. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

References

[1] Dale, E.S.; Thomas, F.E.; Duncan, A.M. Process Dynamics and Control. 2007; pp. 318, Second Edition, Wiley.

[2] Coughanowr, D.R.; Koppel, L.B. Process Systems Analysis and control. McGraw-Hill, New York, 1965.

[3] Astrom, K.J.; Hagglund, H. PID controllers: Theory, design and tuning (2nd ed.)”. ResearcTriangle Park, NC: Instrument Society of America, 1995.

[4] Grassi, E.; Tsakalis, K.; Dash, S.; Gaikwad, S.V.; Macarthur, W.; Stein, G. Integrated system identification and PID controller tuning by frequency loop-shaping. IEEE Transactions on Control Systems Technology, 2001, 9(2), 285-294.

[5] Ho, W.K.; Gan, O.P.; Tay, E.B.; Ang, E.L. Performance and gain and phase margins of well-known PID tuning formulas. IEEE Transactions on Control Systems Technology, 1996, 4(4), 473-477.

[6] Liu, T.K.; Chen, Y.P.; Chou, J.H. Solving Distributed and Flexible Job-Shop Scheduling Problems for a Real-World Fastener Manufacturer. IEEE Access, 2014, 2, 1598-1606.

[7] Zhang, X.G.; Li, Y.L.; Ran, Y.; Zhang, G.B. A Hybrid Multilevel FTA-FMEA Method for a Flexible Manufacturing Cell Based on Meta-Action and TOPSIS. IEEE Access, 2019, 7, 110306-110315.

[8] Liu, G.Y.; Zhang, L.C.; Liu, Y.T.; Chen, Y.F.; Li, Z.W.; Wu, N.Q. Robust Deadlock Control for Automated Manufacturing Systems Based on the Max-Controllability of Siphons. IEEE Access, 2019, 7, 88579-88591.

[9] Flores, A.; de Oca, A.M.; Flores, G. A simple controller for the transition maneuver of a tail-sitter drone. In 2018 IEEE Conference on Decision and Control (CDC), Dec 2018, pp. 4277-4281.

[10] Stastny, T.; Siegwart, R. Nonlinear model predictive guidance for fixed-wing uavs using identified control augmented dynamics. In 2018 International Conference on Unmanned Aircraft Systems (ICUAS), June 2018, pp. 432-442.

[11] Chen, Y.; Liang, J.; Wang, C.; Zhang, Y. Combined of lyapunovstable and active disturbance rejection control for the path following of a small unmanned aerial vehicle. International Journal of Advanced Robotic Systems, 2017, 14(2), 1-10.

[12] Zhou, B.H.; Xi, L.F.; Cat, J.G. Knowledge-based decision support system for tool management in flexible manufacturing system. Journal of Systems Engineering and Electronics, 2004, 15(4), 537-541.

[13] Liu, T.K.; Chen, Y.P.; Chou, J.H. Solving Distributed and Flexible Job-Shop Scheduling Problems for a Real-World Fastener Manufacturer. IEEE Access, 2014, 2, 1598-1606.

Related Articles