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Year 2016, Volume: 5 , 126 - 138, 07.11.2016

Abstract

References

  • M. Shahrokhi, A. Zomorrodi, Comparison of PID Controller Tuning Methods, Proceedings of 8th National Iranian Chemical Engineering Congress, Ferdowsi University, Mashhad, Iran, 2003.
  • K. M. Hussain, R. A. R. Zepherin, M. S. Kumar, S. M. G. Kumar, Comparison of PID Controller Tuning Methods with Genetic Algorithm for FOPTD System, Int. Journal of Engineering Research and Applications, vol. 4, issue 2 ( Version 1), pp. 308-314, 2014.
  • L. A. Zadeh, Fuzzy Sets, Information & Control, vol.8, pp. 338-353, 1965.
  • F. Smarandache, Neutrosophy a New Branch of Philosophy, Multi. Val. Logic – Special Issue: Neutrosophy and Neutrosophic Logic, vol. 8(3), pp. 297-384, 2002
  • F. Smarandache, Definition of Neutrosophic Logic, a Generalization of the Intuitionistic Fuzzy Logic, Proceeding of the Third Conference of the European Society for Fuzzy Logic and Technology, 2003
  • C. Mitsantisuk, M. Nandayapa, K. Ohishi, S. Katsura, Design for Sensorless Force Control of Flexible Robot by Using Resonance Ratio Control Based on Coefficient Diagram Method, Automatika, Vol 54, No 1, special issue, selected papers from AMC2012 Conference, DOI: 10.7305/automatika.54-1.311
  • E. H. Mamdani, Application of fuzzy logic algorithms for control of simple dynamic plant, Proc Inst Elec Eng., pp. 1585-1588, 1974.
  • E. Jahanshahi, S. Sivalingam, J.B. Schofield, Industrial test setup for autotuning of PID controllers in large-scale processes: Applied to Tennessee Eastman process, IFAC-PapersOnLine, vol. 48, Issue 8, pp. 469-476, 2015.
  • P. Ponce, A. Molina, G. Tello, L. Ibarra, B. MacCleery, M. Ramirez, Experimental study for FPGA PID position controller in CNC micro-machines, IFAC-PapersOnLine, vol. 48, issue 3, pp 2203-2207, 2015
  • F. Reyes, A. Rosado, Polynomial family of PD-type controllers for robot manipulators, Control Engineering Practice, vol. 13, issue 4, pp 441-450, April 2005.
  • S. Sondhi, Y. V. Hote, Fractional order PID controller for load frequency control, Energy Conversion and Management, vol. 85, pp. 343-353, September 2014
  • S. Jingzhuo, L. Yu, H. Jingtao, X. Meiyu, Z. Juwei, Z. Lei, Novel intelligent PID control of traveling wave ultrasonic motor, ISA Transactions, vol. 53, issue 5, pp. 1670-1679, September 2014
  • O. Karasakal, E. Yeşil, M. Güzelkaya, İ. Eksin, Implementation of a new self-tuning fuzzy PID controller on PLC, Turkish Journal of Electrical Engineering & Computer Sciences, 13 (2), pp. 277-286, 2005.
  • K. S. Tang, K. F. Man, G. Chen, S. Kwong, An optimal fuzzy PID controller, Industrial Electronics, IEEE Transactions on Vol.48, Issue. 4, pp. 757 – 765, Aug 2001, DOI:10.1109/41.937407
  • J. Carvajal, G. Chen, H. Ogmen, Fuzzy PID controller: Design, performance evaluation, and stability analysis, Information Sciences, Volume 123, Issues 3–4, pp. 249–270, April 2000, DOI: 10.1016/S0020-0255(99)00127-9
  • J. Godjevac, Comparison between PID and fuzzy control, Internal Report R93.36I, Ecole Polytechnique Fédérale de Lausanne Département d’Informatique Laboratoire de Microinformatique.
  • O. A. M. Ali, A. Y. Ali, B. S. Sumait, Comparison between the Effects of Different Types of Membership Functions on Fuzzy Logic Controller Performance, International Journal of Emerging Engineering Research and Technology, Vol. 3, Issue 3, PP 76-83, March 2015.
  • H. Wang, F. Smarandache, Y. Q. Zhang, R. Sunderraman, Single Valued Neutrosophic Sets, Multispace and Multistructure (4), pp. 410-413, 2010.
  • M. Arora, U.S. Pandey, Generalization of Functional Dependencies in Total of Functional Dependencies in Total Neutrosophic Relation, IJCSI International Journal of Computer Science, Issues, vol. 9, issue 3, No 2, May 2012.
  • M. S. Can, O. F. Özgüven, Control of Rotation Angle of a Permanent Magnet Direct Current Motor Shaft by Using Neutrosophic Membership Valued Fuzzy Logic Controller, Electric-Electronic and Computer Symposium, EEB 2016, 11-13 Mayıs 2016, Tokat TURKEY, pp: 237-242

Design of the Neutrosophic Membership Valued Fuzzy-PID Controller and Rotation Angle Control of a Permanent Magnet Direct Current Motor

Year 2016, Volume: 5 , 126 - 138, 07.11.2016

Abstract

In this paper, we propose a method based on the fuzzy logic controller (FLC) method, created by using neutrosophic membership values. This method is named as proportional integral derivative-neutrosophic valued fuzzy logic controller (PID-NFLC). We conducted a performance simulation test to compare the PID-NFLC with classical FLC for control of the rotation angle of a permanent magnet direct current (PMDC) motor. Rotation angle error and change of this error were used as the input variables of the FLC and NFLC units. In the suggested neutrosophic valued FLC (NFLC), placement of the input variables was evaluated on the universal set by using neutrosophic membership function approach. Error and error change were evaluated in two different NFLC unit separately from each other. Then, crisp outputs of the NFLC units are applied to PID controller. So, PID-NFLC was obtained. The proposed method and conventional FLC were tested in the SIMULINK. According to the test results, our suggested method is own  lesser overshoot ratio and more fast rising time characteristics than the classical FLC. In addition, evaluation of error change, separately from the error in the proposed method is providing flexibility in the PMDC motor position control process.

References

  • M. Shahrokhi, A. Zomorrodi, Comparison of PID Controller Tuning Methods, Proceedings of 8th National Iranian Chemical Engineering Congress, Ferdowsi University, Mashhad, Iran, 2003.
  • K. M. Hussain, R. A. R. Zepherin, M. S. Kumar, S. M. G. Kumar, Comparison of PID Controller Tuning Methods with Genetic Algorithm for FOPTD System, Int. Journal of Engineering Research and Applications, vol. 4, issue 2 ( Version 1), pp. 308-314, 2014.
  • L. A. Zadeh, Fuzzy Sets, Information & Control, vol.8, pp. 338-353, 1965.
  • F. Smarandache, Neutrosophy a New Branch of Philosophy, Multi. Val. Logic – Special Issue: Neutrosophy and Neutrosophic Logic, vol. 8(3), pp. 297-384, 2002
  • F. Smarandache, Definition of Neutrosophic Logic, a Generalization of the Intuitionistic Fuzzy Logic, Proceeding of the Third Conference of the European Society for Fuzzy Logic and Technology, 2003
  • C. Mitsantisuk, M. Nandayapa, K. Ohishi, S. Katsura, Design for Sensorless Force Control of Flexible Robot by Using Resonance Ratio Control Based on Coefficient Diagram Method, Automatika, Vol 54, No 1, special issue, selected papers from AMC2012 Conference, DOI: 10.7305/automatika.54-1.311
  • E. H. Mamdani, Application of fuzzy logic algorithms for control of simple dynamic plant, Proc Inst Elec Eng., pp. 1585-1588, 1974.
  • E. Jahanshahi, S. Sivalingam, J.B. Schofield, Industrial test setup for autotuning of PID controllers in large-scale processes: Applied to Tennessee Eastman process, IFAC-PapersOnLine, vol. 48, Issue 8, pp. 469-476, 2015.
  • P. Ponce, A. Molina, G. Tello, L. Ibarra, B. MacCleery, M. Ramirez, Experimental study for FPGA PID position controller in CNC micro-machines, IFAC-PapersOnLine, vol. 48, issue 3, pp 2203-2207, 2015
  • F. Reyes, A. Rosado, Polynomial family of PD-type controllers for robot manipulators, Control Engineering Practice, vol. 13, issue 4, pp 441-450, April 2005.
  • S. Sondhi, Y. V. Hote, Fractional order PID controller for load frequency control, Energy Conversion and Management, vol. 85, pp. 343-353, September 2014
  • S. Jingzhuo, L. Yu, H. Jingtao, X. Meiyu, Z. Juwei, Z. Lei, Novel intelligent PID control of traveling wave ultrasonic motor, ISA Transactions, vol. 53, issue 5, pp. 1670-1679, September 2014
  • O. Karasakal, E. Yeşil, M. Güzelkaya, İ. Eksin, Implementation of a new self-tuning fuzzy PID controller on PLC, Turkish Journal of Electrical Engineering & Computer Sciences, 13 (2), pp. 277-286, 2005.
  • K. S. Tang, K. F. Man, G. Chen, S. Kwong, An optimal fuzzy PID controller, Industrial Electronics, IEEE Transactions on Vol.48, Issue. 4, pp. 757 – 765, Aug 2001, DOI:10.1109/41.937407
  • J. Carvajal, G. Chen, H. Ogmen, Fuzzy PID controller: Design, performance evaluation, and stability analysis, Information Sciences, Volume 123, Issues 3–4, pp. 249–270, April 2000, DOI: 10.1016/S0020-0255(99)00127-9
  • J. Godjevac, Comparison between PID and fuzzy control, Internal Report R93.36I, Ecole Polytechnique Fédérale de Lausanne Département d’Informatique Laboratoire de Microinformatique.
  • O. A. M. Ali, A. Y. Ali, B. S. Sumait, Comparison between the Effects of Different Types of Membership Functions on Fuzzy Logic Controller Performance, International Journal of Emerging Engineering Research and Technology, Vol. 3, Issue 3, PP 76-83, March 2015.
  • H. Wang, F. Smarandache, Y. Q. Zhang, R. Sunderraman, Single Valued Neutrosophic Sets, Multispace and Multistructure (4), pp. 410-413, 2010.
  • M. Arora, U.S. Pandey, Generalization of Functional Dependencies in Total of Functional Dependencies in Total Neutrosophic Relation, IJCSI International Journal of Computer Science, Issues, vol. 9, issue 3, No 2, May 2012.
  • M. S. Can, O. F. Özgüven, Control of Rotation Angle of a Permanent Magnet Direct Current Motor Shaft by Using Neutrosophic Membership Valued Fuzzy Logic Controller, Electric-Electronic and Computer Symposium, EEB 2016, 11-13 Mayıs 2016, Tokat TURKEY, pp: 237-242
There are 20 citations in total.

Details

Journal Section Articles
Authors

Mehmet Serhat Can

Ömerül Faruk Özgüven

Publication Date November 7, 2016
Published in Issue Year 2016 Volume: 5

Cite

APA Can, M. S., & Özgüven, Ö. F. (2016). Design of the Neutrosophic Membership Valued Fuzzy-PID Controller and Rotation Angle Control of a Permanent Magnet Direct Current Motor. Journal of New Results in Science, 5, 126-138.
AMA Can MS, Özgüven ÖF. Design of the Neutrosophic Membership Valued Fuzzy-PID Controller and Rotation Angle Control of a Permanent Magnet Direct Current Motor. JNRS. November 2016;5:126-138.
Chicago Can, Mehmet Serhat, and Ömerül Faruk Özgüven. “Design of the Neutrosophic Membership Valued Fuzzy-PID Controller and Rotation Angle Control of a Permanent Magnet Direct Current Motor”. Journal of New Results in Science 5, November (November 2016): 126-38.
EndNote Can MS, Özgüven ÖF (November 1, 2016) Design of the Neutrosophic Membership Valued Fuzzy-PID Controller and Rotation Angle Control of a Permanent Magnet Direct Current Motor. Journal of New Results in Science 5 126–138.
IEEE M. S. Can and Ö. F. Özgüven, “Design of the Neutrosophic Membership Valued Fuzzy-PID Controller and Rotation Angle Control of a Permanent Magnet Direct Current Motor”, JNRS, vol. 5, pp. 126–138, 2016.
ISNAD Can, Mehmet Serhat - Özgüven, Ömerül Faruk. “Design of the Neutrosophic Membership Valued Fuzzy-PID Controller and Rotation Angle Control of a Permanent Magnet Direct Current Motor”. Journal of New Results in Science 5 (November 2016), 126-138.
JAMA Can MS, Özgüven ÖF. Design of the Neutrosophic Membership Valued Fuzzy-PID Controller and Rotation Angle Control of a Permanent Magnet Direct Current Motor. JNRS. 2016;5:126–138.
MLA Can, Mehmet Serhat and Ömerül Faruk Özgüven. “Design of the Neutrosophic Membership Valued Fuzzy-PID Controller and Rotation Angle Control of a Permanent Magnet Direct Current Motor”. Journal of New Results in Science, vol. 5, 2016, pp. 126-38.
Vancouver Can MS, Özgüven ÖF. Design of the Neutrosophic Membership Valued Fuzzy-PID Controller and Rotation Angle Control of a Permanent Magnet Direct Current Motor. JNRS. 2016;5:126-38.


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