Redirecting to http://dergipark.org.tr/_fragment?_hash=7jLhYXU0vlh9lgivX6YcdNzdAb3qw8w1TAyQn_fVuEU&_path=id%3D1091154%26_format%3Dhtml%26_locale%3Den%26_controller%3DApp%255CController%255CSite%255CArticleController%253A%253AesiArticleStats.
Research Article
BibTex RIS Cite

Year 2022, Volume: 6 Issue: 2, 160 - 174, 31.12.2022

Hüseyin Can Gürsoy Nurettin Gökhan Adar

https://doi.org/10.38088/jise.1091154
Cited By: 1

Abstract

References

  • [1] Kocaoğlu, S. (2013). Pıd Kontrollü Top Çubuk Sisteminin Tasarımı ve Kontrolü Üzerine Bir Araştırma.
  • [2] Awtar, S., Bernard, C., Boklund, N., Master, A., Ueda, D., Craig K. (2002). Mechatronic Design Of A Ball-On-Plate Balancing System. Mechatronics, 12(2), 217-228 p.
  • [3] Brezina, A., Tkacik, M., Tkacik, T., Jadlovska S. (2019). Upgrade of the Ball and Plate Laboratory Model. IFAC-PapersOnLine, 52(27), 277-282 p.
  • [4] Itani, A. (2017). Ball Plate Balancing System Using Image Processing.
  • [5] Chi-Cheng, C., Tsai, C. (2016). Visual Servo Control for Balancing a Ball-Plate System. International Journal of Mechanical Engineering and Robotics Research, 5(1).
  • [6] Ho, M., Rizal, Y., Chu, L. (2013). Visual Servoing Tracking Control of a Ball and Plate System: Design, Implementation and Experimental Validation. International Journal of Advanced Robotic Systems, 10(7).
  • [7] Taifour, A., Ahmed, A., Almahdi, H., Osama, A., Naseraldeen, A. (2017). Design and Implementation of Ball and Beam System Using PID Controller. Automatic Control and Information Sciences, 3(1), 1-4 p.
  • [8] Chen, Z., Gao F.,Sun, Q., Tian, Y., Liu, J., Zhao, Y. (2019). Ball-on-plate motion planning for six-parallel-legged robots walking on irregular terrains using pure haptic information. Mechanism and Machine Theory, Volume 141, 136-150 p.
  • [9] Fabregas, E., Chacón, J., Dormido-Canto, S., Farias, S., Dormido G. (2015). Virtual Laboratory of the Ball and Plate System. IFAC-PapersOnLine, 48(29), 152-157 p.
  • [10] Park, J., Lee, Y. (2003). Robust Visual Servoing For Motion Control Of The Ball On A Plate. Mechatronics, 13(7), 723-738 p.
  • [11] Fan, X., Zhang, N., Teng, S. (2004). Trajectory Planning And Tracking Of Ball And Plate System Using Hierarchical Fuzzy Control Scheme. Fuzzy Sets and Systems, 144(2), 297-312p.
  • [12] Kassem, A., Haddad, H., Albıtar, C. (2015). Comparison Between Different Methods of Control of Ball and Plate System with 6DOF Stewart Platform. IFAC-PapersOnLine, 48(11), 47-52 p.
  • [13] Gözde, H. (2019). Evolutionary Computation Based Control For Ball And Plate Stabilization System. Balkan Journal Of Electrıcal & Computer Engıneerıng, 7(1), 45-46 p.
  • [14] Kuo, B. (1999). Otomatik Kontrol Sistemleri, Litaratür, 7th edition, 88-90 p. ISBN:975-8431-64-1.

Image-Based Control of 2-DOF Ball Balancing System

Year 2022, Volume: 6 Issue: 2, 160 - 174, 31.12.2022

Hüseyin Can Gürsoy Nurettin Gökhan Adar

https://doi.org/10.38088/jise.1091154
Cited By: 1

Abstract

In this study, the Ball-Plate stabilization system is designed to control with image processing algorithms. The position of the ball is aimed to control by tilting the plate on which the ball is located at a certain position and velocity. The system has two rotational degrees of freedom and is unstable. In the system, two DC motors are used as an actuator, and a camera is used as a feedback sensor. The camera captures the position of the ball and image processing algorithm calculates the that position to blance the plate..PID control is selected for servo motors. Thus, the position of the ball can be controlled so that it converges to the desired point on the plate. Real-time tests are conducted, and Maximum Overshoot and Steady State Error are calculated for both the x and y-axis, and results are given in figures. For the setpoint (15 cm, 15 cm) the Maximum Overshoot and Steady State Error were measured at 40.6% - 8% on the x-axis and 48.6% - 8.6% on the y-axis, while for the setpoint (10 cm, 10 cm) The Maximum Overshoot and Steady State Error were measured at 40.6% - 8% on the x-axis and 48.6% - 8.6% on the y axis.

Keywords

Ball&Plate PID Control Image Processing

References

  • [1] Kocaoğlu, S. (2013). Pıd Kontrollü Top Çubuk Sisteminin Tasarımı ve Kontrolü Üzerine Bir Araştırma.
  • [2] Awtar, S., Bernard, C., Boklund, N., Master, A., Ueda, D., Craig K. (2002). Mechatronic Design Of A Ball-On-Plate Balancing System. Mechatronics, 12(2), 217-228 p.
  • [3] Brezina, A., Tkacik, M., Tkacik, T., Jadlovska S. (2019). Upgrade of the Ball and Plate Laboratory Model. IFAC-PapersOnLine, 52(27), 277-282 p.
  • [4] Itani, A. (2017). Ball Plate Balancing System Using Image Processing.
  • [5] Chi-Cheng, C., Tsai, C. (2016). Visual Servo Control for Balancing a Ball-Plate System. International Journal of Mechanical Engineering and Robotics Research, 5(1).
  • [6] Ho, M., Rizal, Y., Chu, L. (2013). Visual Servoing Tracking Control of a Ball and Plate System: Design, Implementation and Experimental Validation. International Journal of Advanced Robotic Systems, 10(7).
  • [7] Taifour, A., Ahmed, A., Almahdi, H., Osama, A., Naseraldeen, A. (2017). Design and Implementation of Ball and Beam System Using PID Controller. Automatic Control and Information Sciences, 3(1), 1-4 p.
  • [8] Chen, Z., Gao F.,Sun, Q., Tian, Y., Liu, J., Zhao, Y. (2019). Ball-on-plate motion planning for six-parallel-legged robots walking on irregular terrains using pure haptic information. Mechanism and Machine Theory, Volume 141, 136-150 p.
  • [9] Fabregas, E., Chacón, J., Dormido-Canto, S., Farias, S., Dormido G. (2015). Virtual Laboratory of the Ball and Plate System. IFAC-PapersOnLine, 48(29), 152-157 p.
  • [10] Park, J., Lee, Y. (2003). Robust Visual Servoing For Motion Control Of The Ball On A Plate. Mechatronics, 13(7), 723-738 p.
  • [11] Fan, X., Zhang, N., Teng, S. (2004). Trajectory Planning And Tracking Of Ball And Plate System Using Hierarchical Fuzzy Control Scheme. Fuzzy Sets and Systems, 144(2), 297-312p.
  • [12] Kassem, A., Haddad, H., Albıtar, C. (2015). Comparison Between Different Methods of Control of Ball and Plate System with 6DOF Stewart Platform. IFAC-PapersOnLine, 48(11), 47-52 p.
  • [13] Gözde, H. (2019). Evolutionary Computation Based Control For Ball And Plate Stabilization System. Balkan Journal Of Electrıcal & Computer Engıneerıng, 7(1), 45-46 p.
  • [14] Kuo, B. (1999). Otomatik Kontrol Sistemleri, Litaratür, 7th edition, 88-90 p. ISBN:975-8431-64-1.
There are 14 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Hüseyin Can Gürsoy 0000-0003-2709-4345

Nurettin Gökhan Adar 0000-0001-6888-5755

Early Pub Date October 11, 2022
Publication Date December 31, 2022
Published in Issue Year 2022 Volume: 6 Issue: 2

Cite

APA Gürsoy, H. C., & Adar, N. G. (2022). Image-Based Control of 2-DOF Ball Balancing System. Journal of Innovative Science and Engineering, 6(2), 160-174. https://doi.org/10.38088/jise.1091154
AMA Gürsoy HC, Adar NG. Image-Based Control of 2-DOF Ball Balancing System. JISE. December 2022;6(2):160-174. doi:10.38088/jise.1091154
Chicago Gürsoy, Hüseyin Can, and Nurettin Gökhan Adar. “Image-Based Control of 2-DOF Ball Balancing System”. Journal of Innovative Science and Engineering 6, no. 2 (December 2022): 160-74. https://doi.org/10.38088/jise.1091154.
EndNote Gürsoy HC, Adar NG (December 1, 2022) Image-Based Control of 2-DOF Ball Balancing System. Journal of Innovative Science and Engineering 6 2 160–174.
IEEE H. C. Gürsoy and N. G. Adar, “Image-Based Control of 2-DOF Ball Balancing System”, JISE, vol. 6, no. 2, pp. 160–174, 2022, doi: 10.38088/jise.1091154.
ISNAD Gürsoy, Hüseyin Can - Adar, Nurettin Gökhan. “Image-Based Control of 2-DOF Ball Balancing System”. Journal of Innovative Science and Engineering 6/2 (December2022), 160-174. https://doi.org/10.38088/jise.1091154.
JAMA Gürsoy HC, Adar NG. Image-Based Control of 2-DOF Ball Balancing System. JISE. 2022;6:160–174.
MLA Gürsoy, Hüseyin Can and Nurettin Gökhan Adar. “Image-Based Control of 2-DOF Ball Balancing System”. Journal of Innovative Science and Engineering, vol. 6, no. 2, 2022, pp. 160-74, doi:10.38088/jise.1091154.
Vancouver Gürsoy HC, Adar NG. Image-Based Control of 2-DOF Ball Balancing System. JISE. 2022;6(2):160-74.

Cited By

Closed loop automated drug infusion regulation based on optimal 2-DOF TID control approach for the mean arterial blood pressure
Medical & Biological Engineering & Computing
https://doi.org/10.1007/s11517-025-03313-1
 Download Cover Image


Creative Commons License

The works published in Journal of Innovative Science and Engineering (JISE) are licensed under a  Creative Commons Attribution-NonCommercial 4.0 International License.