Fuzzy-PID based control scheme for PMDC series motor speed control

Muhammad Khan Kaloi; Ehsan Ali; Ghulam Mustafa; Nasreen Nizamani; Munawar Ayaz Memon; Abdul Rafay Khatri; Ghulam Sarwar Kaloi

doi:10.17485/IJST/v13i28.653

Article

Fuzzy-PID based control scheme for PMDC series motor speed control

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v13i28.653

Year: 2020, Volume: 13, Issue: 28, Pages: 2911-2923

Original Article

Fuzzy-PID based control scheme for PMDC series motor speed control

Muhammad Khan Kaloi^*, Ehsan Ali^1*, Ghulam Mustafa^*, Nasreen Nizamani¹,Munawar Ayaz Memon¹, Abdul Rafay Khatri¹, Ghulam Sarwar Kaloi¹

¹Department of Electronic/Electrical Engineering, QUEST, Nawabshah, Pakistan

*Corresponding Author
Email: [email protected]

Received Date:18 May 2020, Accepted Date:24 July 2020, Published Date:11 August 2020

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Abstract Background/Objectives: PID controllers are widely used in different industrial appliations especially in achieving stable speed control of DC motors. Hower, due to their limitations, most often other methods like Sliding Mode controller, or fuzzy based controller are used. Since the Fuzzy controlers are more adaptive to non-linearity. This study is to analyse a fuzzy-based speed control scheme for tuning/adusting the performance of PID controller for the purpose of speed control of DC motor under the load condition. Methods/Statistical Analysis: Because of low precision and slow response in different control schemes, a performance comparison is shown between three different control approaches for the DC motor speed control. MATLAB’s Simulink platform is used to realize DC Motor and to implement the PID, Fuzzy and Fuzzy-based PID controllers to run the DC motor on the desired speed. Fuzzy controller is based on very few rule & performance is analyzed considering the load. Findings: The performance of three controllers is evaluated in terms of transient domain characteristics like Percentage overshoot, settling and rise times and percentage error under load (2000 rpm). The PID controller has the highest overshoot and hence a faster rise time while FLC has significantly reduced the overshoot, therefore causing rise time to increase. For the Fuzzy-PID controller the percentage overshoot has almost vanished. The rise time also decreased as compared to the FLC. The simulated controller’s responses confirm that Fuzzy-based PID controller has better performance comparing to independent PID and FLC controllers. Novel/Applications: In this work, the design of an intelligent Fuzzy-PID controller for the speed control of the DC motor with reduced complexity and a faster response using with minimum number of Fuzzy rules producing more optimized performance is presented. The design of a control strategy that has capability to control nonlinear behaviors and to stabilize the performance of linear systems specially to provide optimized performance for speed tracking system which is an important aspect in real time system design.

Keywords: PMDC motor; PID Controller; fuzzy controller; fuzzy-based PID controller; transient response

References

Al-Maliki AY, Iqbal K. FLC-Based PID Controller Tuning for Sensorless Speed Control of DC Motor. In: IEEE International Conference on Industrial Technology (ICIT). (pp. 169-174) 2018.
Gubara MW, Elnain SF, Babiker. Comparative Study on the Speed of DC Motor using PID and FLC. In: IEEE Conference of Basic Sciences and Engineering Studies (SGCAC). 2016.
Idir A, Kidouche M, Bensafia Y, Hettab K, Tadjer SA. Sid Ahmed Tadjer. Speed Control of DC Motor Using PID and FOPID Controllers Based on Differential Evolution and PSO. International Journal of Intelligent Engineering and Systems. 2018;11(4):241–249. Available from: https://doi.org/10.22266/ijies2018.0831.24
Jaya A, Purwanto E, Fauziah MB, Murdianto FD, Rusl MR. Muhammad Rizani Rusl. Design of PID-Fuzzy for Speed Control of Brushless DC Motor in Dynamic Electric Vehicle to Improve Steady-State Performance. In: International Electronics Symposium on Engineering Technology and Applications (IES-ETA). 2017.
Khan MR, Khan AA, Ghazali U. Speed Control of DC Motor under Varying Load Using PID Controller. International Journal of Engineering. 2015;3(9):38–48. Available from: https://www.cscjournals.org/manuscript/Journals/IJE/Volume9/Issue3/IJE-485.pdf
Jigang H, Jie W, Hui F. An anti-windup self-tuning fuzzy PID controller for speed control of brushless DC motor. Automatika. 2017;58(3):321–335. Available from: https://dx.doi.org/10.1080/00051144.2018.1423724
Sakinah N, Aziz A, Adnan RA, Tajjudin M. Design and Evaluation of Fuzzy PID Controller for Ball and Beam System. In: 8th IEEE Control and System Graduate Research Colloquium, Shah Alam, Malaysia. p. 28–32.
Dursun E, Hasan A, Durdu. Position control by using PD type fuzzy logic: Experimental study on rotary servo system. 8th EEE International Conference on Electronics, Computers and Artificial Intelligence. 2016.
Dursun E, Hasan. Speed Control of a Variable Loaded DC Motor by Using Sliding Mode and Iterative Learning Control. International Journal of Electrical Energy. 2017;5(1).
Almatheel YA, Abdelrahman A. Speed Control of DC Motor Using Fuzzy Logic Controller. In: IEEE International Conference on Communication, Control, Computing and Electronics Engineering. 2017.
Subiyanto, Suni AF, Khadari TWI. Performance Simulation of Various Intelligent Techniques for DC Motor Speed Control. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE). 2018. Available from: https://doi.org/10.9790/1676-1304021426
Vidhya SD, Balaji M. Hybrid fuzzy PI controlled multi-input DC/DC converter for electric vehicle application. Automatika. 2020;61(1):79–91. Available from: https://dx.doi.org/10.1080/00051144.2019.1684038
Reznik L. Fuzzy Controllers Handbook. 1st edn. Oxford. Newness Publishing Company. 1997.
Upalanchiwar AVT, Sakhare. Design and implementation of the Fuzzy PID controller using MATLAB/SIMULINK model. International Journal of Research in Computer and Communication Technology. 2014;3(3):369–372. Available from: http://www.ijrcct.org
Gowthaman E, Balaji CD. Self tuned PID based speed control of PMDC drive. In: 2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s). (pp. 686-692) 2013.
Mohammed OOA, Ali DAT. Comparative Study of PID and Fuzzy Controllers for Speed Control of DC Motor. International Journal of Innovative Research in Science, Engineering and Technology. 2014;03(09):16104–16110. Available from: https://dx.doi.org/10.15680/ijirset.2014.0309045
K. A, S. M, S. M, F. F. Brushless DC Motor Speed Control using PID Controller, Fuzzy Controller, and Neuro Fuzzy Controller. International Journal of Computer Applications. 2018;180(30):47–52. Available from: https://dx.doi.org/10.5120/ijca2018916783
Mary SS, Shafi M. A Review Paper on Speed Control of DC Motor & Virtual Instrumentation. International Journal of Innovative Research in Computer and Communication Engineering. 2018;2(6):1654–1657. Available from: https://doi.org/10.15680/IJIRCCE.2018.0602091
Safwan A, Hamoodi RA, Mohammed, Bashar M, Salih. DC Motor Speed Control Using PID Controller Implementation by SIMULINK and Practical. International Journal of Electrical Engineering. 2018;1(11):39–49. Available from: http://www.irphouse.com/ijee18/ijeev11n1_04.pdf
Jumiyatun J, Mustofa M. Controlling DC-DC Buck Converter Using Fuzzy-PID with DC motor load. IOP Conference Series: Earth and Environmental Science. 2003;p. 1–10. Available from: https://doi.org/10.1088/1755-1315/156/1/012003
Jing J. A torque ripple suppression technique for brushless DC motor based on PFC buck converter. IEICE Electronics Express. 2018;15(12):20180145. Available from: https://dx.doi.org/10.1587/elex.15.20180145
Muhiuddin MS. Comparative study of PID and Fuzzy tuned PID controller for speed control of DC motor. International Journal of Innovations in Engineering and Technology. 2014;4(2):291–300. Available from: http://ijiet.com/wp-content/uploads/2013/09/39.pdf
Jing J, Wang Y, Huang Y. The Fuzzy-PID Control of Brushless DC Motor. In: Proceedings of 2016 IEEE International Conference on Mechatronics and Automation. (pp. 1440-1444) 2016.
Zhang S, Wang Y. The Simulation of BLDC Motor Speed Control Based-Optimized Fuzzy PID Algorithm. In: Proceedings of 2016 IEEE International Conference on Mechatronics and Automation. (pp. 287-292) 2016.
Ismail NL, Zakaria KA, Nazar NM, Syaripuddin M, Mokhtar ASN, Thanakodi S, et al. DC motor speed control using fuzzy logic controller. In: AIP Conference Proceedings , 1. 1930.

Copyright

© 2020 Kaloi et al..This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee).