Position - Velocity Control for Two PMDC Motors Connected by a Cross-Coupling Technique with Butterflies Optimization Algorithm

  • kareem Ghazi Abdulhussein Department of Electrical Power Engineering Techniques, Middle Technical University, Iraq.
  • Naseer M. Yasin Department of Electrical Power Engineering Techniques, Middle Technical University, Iraq.
  • Ihsan J. Hasan Department of Electrical Power Engineering Techniques, Middle Technical University, Iraq.
Keywords: PMDC Motor, cascade controller, BOA, cross-coupling technique, synchronization

Abstract

In this paper, two contributions are presented. the first is to design two cascade controllers to control the velocity and position for two Permanent Magnet DC motors (PMDC) working together at the same time for use in many applications such as CNC machines, robotics, and others. Furthermore, the cross-coupling technique is used to connect these motors and adjust the precise synchronization of their movement on the axes. The second contribution is the use of the butterfly’s optimization algorithm (BOA) with the objective function Integral Time Absolute Error (ITAE) to extract the optimal parameter values for the two cascade controllers and the synchronization controller in order to obtain the best accurate results. The simulation results showed high accuracy to reach the desired position at a regular velocity of both the PMDC motors with accurate synchronization and tracking trajectory on the axes. In addition, a very small position deviation of 0.021 rad was observed, and the system returned to a steady-state after 2 seconds of applying the full load.

References

K. Wu, C. Krewet, and B. Kuhlenkötter, “Dynamic performance of industrial robot in corner path with CNC controller,” Robot. Comput. Integr. Manuf., vol. 54, pp. 156–161, 2018.

T. A. Bigelow, Electric Circuits, Systems, and Motors. Springer, ch 5 .p 148, 2020.

P. C. Krause, O. Wasynczuk, S. D. Sudhoff, and S. Pekarek, Analysis of electric machinery and drive systems, vol. 2. Wiley Online Library, 3ed ,ch 10 pp. 396-397, 2002.

B. L. Theraja, A textbook of electrical technology. S. Chand Publishing, ch 39 p 1549, 2008.

W. H. Ali, M. N. O. Sadiku, and S. Abood, Fundamentals of Electric Machines: A Primer with MATLAB: A Primer with MATLAB. CRC Press, ch 11 p 335,2019.

J. Bae, K. Cho, and D.-H. Lee, “Parallel Position Control Scheme of Permanent Magnet DC Motors with a Low-Resolution Sensor,” in 2020 IEEE International Conference on Industrial Technology (ICIT), 2020, pp. 199–204.

Z. Adel, A. A. Hamou, and S. Abdellatif, “Design of Real-time PID tracking controller using Arduino Mega 2560for a permanent magnet DC motor under real disturbances.,” in 2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), 2018, pp. 1–5.

M. F. Cankurtaran and A. E. Kocamis, “Sensorless Speed Control of PMDC Motor with Cascade PI Controller,” in 2019 International Symposium ELMAR, 2019, pp. 203–206.

T. N. Gücin, M. Biberoğlu, B. Fincan, and M. O. Gülbahçe, “Tuning cascade PI (D) controllers in PMDC motor drives: A performance comparison for different types of tuning methods,” in 2015 9th International Conference on Electrical and Electronics Engineering (ELECO), 2015, pp. 1061–1066.

L. Wang, PID Control System Design and Automatic Tuning Using MATLAB/Simulink. John Wiley & Sons, chp 7 p 209, 2020.

G. L. Raja and A. Ali, “Series cascade control: An outline survey,” in 2017 Indian Control Conference (ICC), 2017, pp. 409–414.

Y. Xie, J. Jin, X. Tang, B. Ye, and J. Tao, “Robust cascade path-tracking control of networked industrial robot using constrained iterative feedback tuning,” IEEE Access, vol. 7, pp. 8470–8482, 2018.

C. Zhang, J. He, L. Jia, C. Xu, and Y. Xiao, “Virtual line-shafting control for permanent magnet synchronous motor systems using sliding-mode observer,” IET Control Theory Appl., vol. 9, no. 3, pp. 456–464, 2015.

H. M. Guzey, A. Dumlu, N. Guzey, and A. Alpay, “Optimal synchronizing speed control of multiple DC motors,” in 2018 4th International Conference on Optimization and Applications (ICOA), 2018, pp. 1–5.

P. Zhang and Z. Wang, “Improvements of direct current motor control and motion trajectory algorithm development for automated guided vehicle,” Adv. Mech. Eng., vol. 11, no. 2, p. 1687814018824937, 2019.

Y. Xiao, Y. Pang, X. Ge, and J. Sun, “Synchronous control for high-accuracy biaxial motion systems,” J. Control Theory Appl., vol. 11, no. 2, pp. 294–298, 2013.

K. Ishizaki, B. Sencer, and E. Shamoto, “Cross Coupling Controller for Accurate Motion Synchronization of Dual Servo Systems.,” IJAT, vol. 7, no. 5, pp. 514–522, 2013.

V. Mhase, R. Sudarshan, O. Pardeshi, and P. V Suryawanshi, “Integrated speed–position tracking with trajectory generation and synchronization for 2–axis DC motion control,” Int. J. Eng. Res. Dev., vol. 1, no. 6, pp. 61–66, 2012.

S.-M. Wang, R.-J. Wang, and S. Tsooj, “A new synchronous error control method for CNC machine tools with dual-driving systems,” Int. J. Precis. Eng. Manuf., vol. 14, no. 8, pp. 1415–1419, 2013.

N. K. Sinha and P. M. Tiwari, “Multiple motor synchronization using nonlinear PID control,” in 2017 3rd International Conference on Advances in Computing, Communication & Automation (ICACCA)(Fall), 2017, pp. 1–6.

M. Namazov and O. Basturk, “DC motor position control using fuzzy proportional-derivative controllers with different defuzzification methods,” 2010.

R. C. Dorf and R. H. Bishop, Modern control systems. Pearson,12ed , ch 2 pp 71-72, 2011.

K. T. Chau and Z. Wang, Chaos in electric drive systems: analysis, control and application. John Wiley & Sons, ch 2 p 52, 2011.

N. Mohan, Electric drives, chp4 p5 & ch8 pp7-8 & ch8 p19. 2003.

H. Huang, Q. Tu, C. Jiang, L. Ma, P. Li, and H. Zhang, “Dual motor drive vehicle speed synchronization and coordination control strategy,” in AIP Conference Proceedings, 2018, vol. 1955, no. 1, p. 40005.

D. Sun, Synchronization and control of multiagent systems. CRC Press, ch2& ch3 pp 27-34, 2018.

S. Arora and S. Singh, “Butterfly optimization algorithm: a novel approach for global optimization,” Soft Comput., vol. 23, no. 3, pp. 715–734, 2019.

A. Latif, S. M. Hussain, D. C. Das, and T. S. Ustun, “Optimum Synthesis of a BOA optimized novel dual-stage PI-(1+ ID) controller for frequency response of a microgrid,” Energies, vol. 13, no. 13, p. 3446, 2020.

Published
2021-06-30
How to Cite
Abdulhussein, kareem, Yasin, N., & Hasan, I. (2021). Position - Velocity Control for Two PMDC Motors Connected by a Cross-Coupling Technique with Butterflies Optimization Algorithm. Journal of Techniques, 3(2), 31-44. https://doi.org/10.51173/jt.v3i2.323
Section
Engineering