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Vol. 7, No. 4, November 2022

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PID Controllers Performance On Dual Axis Tracking With Tetrahedron Based Sensor

https://doi.org/10.22219/kinetik.v7i4.1549
Melinda
Syiah Kuala University
Andri Novandri
Syiah Kuala University
Yuwaldi Away
Syiah Kuala University

Corresponding Author(s) : Melinda

melinda@unsyiah.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 7, No. 4, November 2022

Abstract

This study compares control systems applied to a dual-axis tetrahedron-based sensor tracker. A tetrahedron-based sensor is a tracking sensor that can detect the coordinates of a light source. This study aims to determine a control system that can control sensors with high accuracy and precision and has a fast-tracking ability. Tests are carried out periodically by providing light at certain coordinates. After carrying out the testing and analysis process, it is concluded that the P controller is a better control system than the other controllers. This controller can control sensors with high accuracy and precision compared to PI, PD, and PID control systems. The P controller can also control the sensor to move towards the light coordinates with a travel time of 1.6 seconds on the X-axis and 3.1 seconds on the Y-axis, with a MAE value of 1.1 on the X-axis and 0.3 on the Y-axis. While the RSME value obtained is 1.33 on the X-axis and 0.55 on the Y-axis.

Keywords

Tetrahedron Tracker Sensor Dual Axis
Melinda, Novandri, A. ., & Away, Y. . (2022). PID Controllers Performance On Dual Axis Tracking With Tetrahedron Based Sensor. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 7(4). https://doi.org/10.22219/kinetik.v7i4.1549
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References
  1. Guan, Y., Gang, C., & Ren, J. (2015). Cooperative solar tracking control of multiple dual-axis PV panels. 7th Chinese Control and Decision Conference (CCDC), 4058–4063. https://doi.org/10.1109/CCDC.2015.7162634
  2. Pivoňka, P. (2002). Comparative Analysis of Fuzzy PI/PD/PID Controller Based on Classical PID Controller Approach. IEEE International Conference on Fuzzy Systems, 1, 541–546. https://doi.org/10.1109/fuzz.2002.1005048
  3. Doss C.r., J., Kumaravel, M., & Jagadeesh Kumar, V. (2013). A Novel Measurement Technique for Performance Comparison of Sun Tracker Systems. Conference Record - IEEE Instrumentation and Measurement Technology Conference, 1156–1160. https://doi.org/10.1109/I2MTC.2013.6555595
  4. Away, Y., & Ikhsan, M. (2017). Dual-axis sun tracker sensor based on tetrahedron geometry. Automation in Construction, 73, 175–183. https://doi.org/10.1016/j.autcon.2016.10.009
  5. Away, Y., Rahman, A., Auliandra, T. R., & Firdaus, M. (2018). Performance Comparison between PID and Fuzzy Algorithm for Sun Tracker Based on Tetrahedron Geometry Sensor. International Conference on Electrical Engineering and Informatics, ICELTICs, 40–44. https://doi.org/10.1109/ICELTICS.2018.8548837
  6. Gaballa, M. S., Bahgat, M., & Abdel-Ghany, A. G. M. (2018). Self-Tuning of An FLC-PID Controller of A Dual-Axis Sun Tracker Photo-Voltaic Panel Based on Rise-Time-Observer Method. 19th International Middle-East Power Systems Conference (MEPCON), 722–727. https://doi.org/10.1109/MEPCON.2017.8301261
  7. Aung, C. A., Hote, Y. V., Pillai, G., & Jain, S. (2020). PID Controller Design for Solar Tracker via Modified Ziegler Nichols Rules. 2nd International Conference on Smart Power and Internet Energy Systems, 531–536. https://doi.org/10.1109/SPIES48661.2020.9243009
  8. Kumngern, M., & Torteanchai, U. (2014). FDCCII-Based P, PI, PD and PID Controllers. Fourth International Conference on Digital Information and Communication Technology and Its Applications (DICTAP), 415–418. https://doi.org/10.1109/DICTAP.2014.6821722
  9. Rizvi, A. A., Addoweesh, K., Abdelrehman, E.-L., & Al-Ansary, H. (2014). Sun Position Algorithm for Sun Tracking Applications. Annual Conference of the IEEE Industrial Electronics Society, 5595–5598. https://doi.org/10.1109/IECON.2014.7049356
  10. Pati, S., Patnaik, M., & Panda, A. (2014). Comparative Performance Analysis of Fuzzy PI, PD and PID Controllers Used in A Scalar Controlled Induction Motor Drive. International Conference on Circuits, Power and Computing Technologies (ICCPCT), 910–915. https://doi.org/10.1109/ICCPCT.2014.7054799
  11. Liu, C., Zhao, F. Y., Hu, P., Hou, S., & Li, C. (2010). P Controller with Partial Feed Forward Compensation and Decoupling Control for The Steam Generator Water Level. Nuclear Engineering and Design, 240(1), 181–190. https://doi.org/10.1016/j.nucengdes.2009.09.014
  12. Tan, N. (2009). Computation of Stabilizing PI-PD Controllers. International Journal of Control, Automation and Systems, 7(2), 175–184. https://doi.org/10.1007/s12555-009-0203-y
  13. Wang, Y. G., & Shao, H. H. (2000). Optimal Tuning for PI Controller. Automatica, 36(1), 147–152. https://doi.org/10.1016/S0005-1098(99)00130-2
  14. Tomei, P. (1991a). A Simple PD Controller for A Robot with Elastic Joints. IEEE Transactions on Automatic Control, 36(10), 1208–1213. https://doi.org/10.1109/9.90238
  15. Suruz Miah, M., & Gueaieb, W. (2014). Optimal Time-Varying P-Controller for A Class of Uncertain Nonlinear Systems. International Journal of Control, Automation and Systems, 12(4), 722–732. https://doi.org/10.1007/s12555-013-0234-2
  16. Sánchez, J., Visioli, A., & Dormido, S. (2011). A Two-Degree-of-Freedom PI Controller Based on Events. Journal of Process Control, 21(4), 639–651. https://doi.org/10.1016/j.jprocont.2010.12.001
  17. Ramirez, H. S. (1991). Nonliniear P-I Controller Design for Switchmode DC-to-DC Power Converters. IEEE Transactions on Circuit and System, 38(4), 410–417. https://doi.org/10.1109/31.75397
  18. Tomei, P. (1991b). Adaptive PD Controller for Robot Manipulators. IEEE Transactions on Robotics and Automation, 7(4), 565–570. https://doi.org/10.1109/70.86088
  19. Bansal, H. O., Sharma, R., & Shreeraman, P. R. (2012). PID Controller Tuning Techniques: A Review. Journal of Control Engineering and Technology, 2(May), 168–176.
  20. Shah, P., & Agashe, S. (2016). Review of Fractional PID Controller. Mechatronics, 38, 29–41. https://doi.org/10.1016/j.mechatronics.2016.06.005
  21. Dawson, D. M., Qu, Z., Lewis, F. L., & Dorsey, J. F. (1990). Robust Control for The Tracking of Robot Motion. International Journal of Control, 52(3), 581–595. https://doi.org/10.1080/00207179008953554
  22. Sabir, M. M., & Ali, T. (2016). Optimal PID Controller Design Through Swarm Intelligence Algorithms for Sun Tracking System. Applied Mathematics and Computation, 274, 690–699. https://doi.org/10.1016/j.amc.2015.11.036
  23. Jia, R., Nandikolla, V. K., Haggart, G., Volk, C., & Tazartes, D. (2017). System Performance of an Inertially Stabilized Gimbal Platform with Friction, Resonance, and Vibration Effects. Journal of Nonlinear Dynamics, 2017, 1–20. https://doi.org/10.1155/2017/6594861
  24. Fauziyah, M., Adhisuwignjo, S., Ifa, L. N., & Afandi, B. F. (2022). DC Motor PID Control System for Tamarind Turmeric Herb Packaging on Rotary Cup Sealer Machine. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 4(1), 45–54. https://doi.org/10.22219/kinetik.v7i1.1352
  25. Wu, H., Su, W., & Liu, Z. (2014). PID Controllers: Design and Tuning Methods. 9th IEEE Conference on Industrial Electronics and Applications, 808–813. https://doi.org/10.1109/ICIEA.2014.6931273
  26. Abdo, M. M., Vali, A. R., Toloei, A. R., & Arvan, M. R. (2014). Stabilization Loop of A Two Axes Gimbal System Using Self-Tuning PID Type Fuzzy Controller. ISA Transactions, 53(2), 591–602. https://doi.org/10.1016/j.isatra.2013.12.008
  27. Wang, W., & Lu, Y. (2018). Analysis of the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE) in Assessing Rounding Model. IOP Conference Series: Materials Science and Engineering, 324(1). https://doi.org/10.1088/1757-899X/324/1/012049
  28. Azmi, S., Away, Y., & Sara, I. D. (2016). Kajian Aspek Kecepatan dan Ketepatan pada Sun Tracker Dua Sumbu Berbasis Sensor Berbentuk Tetrahedron. Jurnal Rekayasa Elektro, 15(2), 1–9. https://doi.org/10.17529/jre.v15i2.13546
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Author Biographies

Melinda, Syiah Kuala University

Department of Electrical Engineering and Computer

Andri Novandri, Syiah Kuala University

Magister of Electrical Engineering

Yuwaldi Away, Syiah Kuala University

Department of Electrical Engineering and Computer

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