Fuzzy Gain Scheduling of PID (FGS-PID) for Speed Control Three Phase Induction Motor Based on Indirect Field Oriented Control (IFOC)

  • Indra Ferdiansyah Politeknik Elektronika Negeri Surabaya
  • Era Purwanto Politeknik Elektronika Negeri Surabaya
  • Novie Ayub Windarko Politeknik Elektronika Negeri Surabaya
Keywords: PID, Fuzzy scheduling, IFOC, Induction Motor, and Performance Control.

Abstract

This paper propose about using PID control system based on Kp, Ki, and Kd parameter determination with scheduling process from fuzzy logic. Control system is used to arrange speed of three phase induction motor using IFOC method. This method can be minimized the main problem from speed control of induction motor which is a transient condition. The robustness validation from this system use testing process of dynamic speed which is compared with the other control system to know the system performance in transient condition such as (rise time, overshoot, undershoot and settling time). The result shows using the proposed system has better performance responses which is requiring 0.001 seconds time in transient condition up to steady state condition without overshoot and undershoot problem.

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References

J.P. Hautier J.P. Caron, Modeling and Control of Induction Machine, Technip ed., 1995.

I.K. Bousserhane, A. Hazzab, M. Rahli, B. Mazari, and M. Kamli "OPTIMAL FUZZY GAINS SCHEDULING OF PI CONTROLLER FOR INDUCTION MOTOR SPEED CONTROL ," Acta Electrotechnica et Informatica , vol. 7, no. 1, 2007.

R.D.Lorenz and D.B. Lawson, "A Simplified Approach to Continuous On-Line Tuning of Field-Oriented Induction Machine Drives," IEEE Trans. On Industry application, vol. 26, no. 3, may 1990.

L. Baghli, "Contribution to Induction Machine Control: Using Fuzzy Logic, Neural Networks and Genetic Algorithms," Henri Poincare University, Doctoral Thesis 1999.

M.A. Ouhrouche, C. Volet "Simulation of a Direct Field-Oriented Controller for an Induction Motor Using Matlab/Simulink Software Package," in IASTED, USA, 2000.

Salah Eddine Rezgui and Hocine Benalla, "High Performance Controllers for Speed and Position Induction Motor Drive Using New Reaching Law," International Journal of Instrumentation and Control Systems (IJICS), pp. 31-46, 2011.

Zhen-Yu Zhao, Masayoshi Tomizuka, and Satoru Isaka, "Fuzzy Gain Scheduling of PID Controllers," IEEE Transactions On Systems, pp. 1392 - 1398, 1993.

Kuo. B.C, Automatic Control System, 5th ed. Englewood Cliffs: Prentice Hall, 1987.

M.J. Rabins,and D.M, Auslander Y. Takahasi, Control and dynamic systems. Menlo park: Addison Wesly, 1970.

hang H.S and J Gertler, "An instability indicator for expert control," IEEE, vol. 6, pp. 34-42, 1986.

C.C Hang, and W. K. Ho K.J. Astrom, "Refinements of the Ziegler Nichols tuning formula," in IEE, Pt.D, 1991, pp. 111-118.

M. Sugeno, Industrial aplications of fuzzy control. Amsterdam, Netherland: North-Holland, 1985.

II Munadhif , Aulia Siti. A, dan A. Agus M, "Perancangan sistem kendali kestabilan rolling kapal perang kelas sigma saat bermanuver menggunakan Fuzzy Gain Schedulling-PID, Tesis, Institut Teknologi Sepuluh Nopember, (Surabaya),2015"

Kuo. B.C, Automatic Control System, 5th ed. Englewood Cliffs: Prentice Hall, 1987.

Chang H.S and J Gertler, "An instability indicator for expert control," IEEE, vol. 6, pp. 34-42, 1986.

Zigler. J. G. and N. B. Nichols, "Optimum setting for automatic controllers," Trans ASME, vol. 64, pp. 759-768, 1942.

Gawthrop P. J and P.E. Nomikos, "Automatic tuning of commercial PID controllers for single-loop and multiloop aplications," IEEE Control Sys. Mag, vol. 10, pp. 34-42, 1990.

S. Omatu, and H. Ishihara T. Yamamoto, "A construction of self tuning PID control system," Trans.SICE. Japan, vol. 25, pp. 39-45, 1989.

C.C. Lee, "Fuzzy logic in control system: Fuzzy logic controller part 1," IEEE Trans. Sys Man cybern, vol. SMC-20, pp. 404-418, 1990.

T.J Procyk and E. H. Mamdani, "A linguistic self-organizing process controller," Automatica, vol. 15, pp. 15-30, 19791.

M. Sugeno, Industrial aplications of fuzzy control. Amsterdam, Netherland: North-Holland, 1985.

Takagi. T and Sugeno. M, "Fuzzy identification of systems and its aplications to modeling and control," IEE Trans, vol. SMC-15, pp. 116-132, 1985.

Arun Kumar R, "Indirect Field Oriented Control of Induction Motor Using Fuzzy Logic," in ResearchGate, 2012.

Era Purwanto , Gigih Prabowo, Endra Wahyono, dan M. Machmud Rifadil, "Pengembangan Model Motor Induksi sebagai Penggerak Mobil Listrik dengan Menggunakan Metode Vektor Kontrol," Jurnal Ilmiah ELITE Elektro (Institut Teknologi Sepuluh Nopember Surabaya), pp. 67-72, 2011.

Rizana Fauzi , Dedid Cahya Happyanto, and Indra Adji Sulistijono, "Fast Respon Three Phase Induction Motor Using Indirect Field Oriented Control (IFOC) Based On Fuzzy-PI," IES, 2014.

Gagan Singh Gurmeet Singh, "Modeling and Simulation of Indirect Field Oriented Control of Three Phase Induction Motor using Fuzzy Logic Control," International Journal of Engineering Research & Technology (IJERT), vol. 3, no. 8, pp. 1126-1130, August 2014.

DR.V. Rajasekaran, DR.I.Gerald C, N. Panner S M. Arul Prasanna, "Modeling, Analysis and IFO COntrol Method For CSI FED 3 Phase Induction Motor Drive," Journal of Theoritical and Applied Information Technology, pp. 444-451, 2014.

Bilal Akin, State Estimation Technique For Speed Sensorless Field Oriented Control of Induction Motors.: School of Natural and Applied Sciences, 2013.

Ananda kumar Akkaraapaka and Dherendra singh, "The IFOC Based Speed Control of Induction Motor fed by A High Performance Z-Source Inverter," IEEE, 2014.

Abdelkader M, Yessema B M'hamed Chebre, "Speed Control of Induction Motor Using Genetic Algorithm-based PI Controller," Acta Polytechnica Hungarica, pp. 141-153, 2011.

Published
2016-12-15
How to Cite
Ferdiansyah, I., Purwanto, E., & Windarko, N. A. (2016). Fuzzy Gain Scheduling of PID (FGS-PID) for Speed Control Three Phase Induction Motor Based on Indirect Field Oriented Control (IFOC). EMITTER International Journal of Engineering Technology, 4(2), 237-258. https://doi.org/10.24003/emitter.v4i2.147
Section
Articles