PENALA PARAMETER PID OTOMATIS PADA PENGATUR KECEPATAN MOTOR INDUKSI TIGA FASA

  • Handri Toar Politeknik Negeri Batam https://orcid.org/0000-0003-3431-3040
  • Era Purwanto Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
  • Hary Oktavianto Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
  • Ridwan Ridwan Politeknik Negeri Batam, Batam, Indonesia
  • Muhammad Rizani Rusli Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
Keywords: PID, autotuning, speed control, vector control, induction motor, LabVIEW®

Abstract

PID is one of the simple controller, fast computing, easy to implement, reliable to face the disturbance especially to handle the linear system. Meanwhile induction motor is one of a high nonlinear system. Is PID can handle the induction motor. Therefore PID controller enhancement is needed. The controller has the ability to tune up the parameter while running. To tune-up, the controller needs a bunch of collections of parameters PID that ready to use. If we use the manual way to collect like trial and error, it will consume much power and time. And not all systems can be used the Ziegler-Nichols method. This research offering an algorithm for the autotuning PID parameter to control the speed of induction motor based on vector control to collect the PID parameter automatically. After validation by using LabVIEW simulation, the system provides a good speed response without overshoot when the speed increased and without undershoot when the speed decreased.

Downloads

Download data is not yet available.

References

B. Praharsena, E. Purwanto, Jaya. Arman, et al., “Evaluation of Hysteresis Loss Curve on 3 Phase Induction Motor by Using Cascade Feed Forward Neural Network,” in 2018 International Electronics Symposium on Engineering Technology and Applications, IES-ETA 2018 - Proceedings, 2019.

I. Boldea, L. N. Tutelea, L. Parsa, and D. Dorrell, “Automotive electric propulsion systems with reduced or no permanent magnets: An overview,” IEEE Trans. Ind. Electron., 2014.

M. A. Hernandez, J. M. G. Villalobos, S. M. Soldara, F. M. Mondragon, and J. R. Resendiz, “A speed performance comparative of field oriented control and scalar control for induction motors,” in 2016 IEEE Conference on Mechatronics, Adaptive and Intelligent Systems, MAIS 2016, 2016.

A. W. Aaditya, D. C. Happyanto, and B. Sumantri, “Application of Sliding Mode Control in Indirect Field Oriented Control (IFOC) for Model Based Controller,” Emitter International Journal of Enginerring. Technology, 2018.

J. Yu, T. Zhang, and J. Qian, Electrical motor products: International energy-efficiency standards and testing methods. 2011.

A. T. De Almeida, F. J. T. E. Ferreira, and G. Baoming, “Beyond induction motors - Technology trends to move up efficiency,” IEEE Trans. Ind. Appl., 2014.

I. Ferdiansyah, E. Purwanto, and N. A. Windarko, “Fuzzy Gain Scheduling of PID (FGS-PID) for Speed Control Three Phase Induction Motor Based on Indirect Field Oriented Control (IFOC),” Emitter International Journal Engineering Technology, 2017.

Nurfaizah, D. Istardi, and H. Toar, “Rancang Bangun Modul Praktikum Motor AC dengan Aplikasi Pengaturan Posisi dengan Menggunakan PID,” Jurnal Integrasi, vol. 7, no. 1, pp. 50–56, 2015.

I. Ferdiansyah, M. R. Rusli, B. Praharsena, H. Toar, Ridwan, and E. Purwanto, “Speed control of three phase induction motor using indirect field oriented control based on real-time control system,” in Proceedings of 2018 10th International Conference on Information Technology and Electrical Engineering: Smart Technology for Better Society, ICITEE 2018, 2018.

J. G. Ziegler, N. B. Nichols, and N. Y. Rocheiester, “Optimum Sttings for Automatic Controllers,” Transacction ASME, 1942.

E. Purwanto, A. M. wibowo, Soebagio, and M. H. Purnomo, “Pengembangan metoda self tuning parameter pid controller dengan menggunakan genetic algorithm pada pengaturan motor induksi sebagai penggerak mobil listrik,” (SNATI 2009), vol. 2009, p. E-120-E-127, 2009.

Alrijadjis, Shenglin Mu, Shota Nakashima, and K. Tanaka, “PID Controller Design of Nonlinear System using a New Modified Particle Swarm Optimization with Time-Varying Constriction Coefficient,” Emit. Int. J. Eng. Technol., vol. 2, no. 2, pp. 80–90, 2014.

Published
2020-04-21