Identification and Speed Control of DC Motor Using Fractional Order PID: Microcontroller
##plugins.themes.bootstrap3.article.main##
This paper uses Fractional-order PID control (FOPID) to control the speed of the DC motor. FOPID is more flexible and confident in controlling control higher-order systems compared to classical PID. In this work, the FOPID controller tuning is carried out using different methods ranging from classical techniques to most recent heuristic methods are Fractional Grey wolf Optimization and Nelder-Mead. Moreover, parameter estimation of real-world DC motor is carried out experimentally using Matlab/Simulink interfaced to an Arduino Uno board. The feasibility of FOPID is demonstrated through applications to well-known DC motor case study and the estimated DC motor. Based on ISE, ITE, and ISTE performance measures, the proposed approach provide less settling time, rise time and comparable overshoot compared with existing literature approaches. A robustness assessment with differences in the DC motor components is performed. Simulation finding provide validation of the suggested work and the FOPID controller effectiveness as compared to classical PID controller in terms of robustness and control effect.
Downloads
References
-
Jain, Ruchi , et al. "Tuning of fractional order PID controller using particle swarm optimization technique for dc motor speed control." 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE, 2016.?
Google Scholar
1
-
Kefal, Adnan, et al. "Modeling and parameter identification of electromechanical systems for energy harvesting and sensing." Mechanical Systems and Signal Processing 121 (2019): 890-912.
Google Scholar
2
-
Lemus, Juan , et al. "PID Controller Design for DC Motor." (2018).?
Google Scholar
3
-
Nayak, Byamakesh, et al. "Parameter Estimation of DC Motor using Adaptive Transfer function based on Nelder-Mead Optimisation." Indonesian Journal of Electrical Engineering and Computer Science 9.3 (2018): 696-702.?
Google Scholar
4
-
Li, Shuhui, et al. "Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results." IEEE transactions on cybernetics (2019)
Google Scholar
5
-
Bindu, Mini K, et al. "Tuning of PID controller for DC servo motor using
Google Scholar
6
-
genetic algorithm. " International Journal of Emerging Technology
Google Scholar
7
-
and Advanced Engineering 2.3 (2012): 310-314.
Google Scholar
8
-
Obeng, Benedicta, etal. "PID Speed Control of a DC Motor Using Particle Swarm Optimization." Information Technology-New Generations. Springer, Cham, 2018. 781-789.?
Google Scholar
9
-
Ahmed, Alisha, et al. "GWO/PID Approach for Optimal Control of DC Motor." 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2018.
Google Scholar
10
-
Yazgan, Harun , et al. "Comparison Performances of PSO and GA to Tuning PID Controller for the DC
Google Scholar
11
-
Motor." Sakarya University Journal of Science 23.2 (2019): 162-174.
Google Scholar
12
-
Kumari, Swati, et al. "GA Based Design of Current Conveyor PLD Controller for the Speed Control of BLDC Motor." 2018 4th International Conference on Computational Intelligence & Communication Technology (CICT). IEEE, 2018.
Google Scholar
13
-
PID Controller Tuning in Simulink, 1994-2018. [Online].Available: https://www.mathworks.com/help/slcontrol/gs/automated-tuning-of-simulink-pid-controller-block.html.
Google Scholar
14
-
Das, Kaushik, et al. "Optimal tuning of PID controller using GWO algorithm for speed Control in dc motor.?
Google Scholar
15
-
International Conference on Soft Computing
Google Scholar
16
-
Techniques and Implementations (ICSCTI). IEEE, 2015.
Google Scholar
17
-
Shah, Pritesh, et al. "Review of fractional PID controller." Mechatronics 38 (2016): 29-41.
Google Scholar
18
-
I. Podlubny, ?Fractional-Order Systems and PI?D?
Google Scholar
19
-
Controllers,? IEEE Transactions on Automatic Control, Vol. 44, No. 1, pp.208-214, 1999.?
Google Scholar
20
-
Ahmad, Md Akram, etal. "Speed control of a DC motor using Controllers." Automation, Control and Intelligent Systems 2.6-1 (2014): 1-9.
Google Scholar
21
-
Chaouch, Saad, et al. "DC-Motor Control Using Arduino-Uno Board for Wire-Feed System." 2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM). IEEE, 2018.
Google Scholar
22
-
Arslan, Ahmad."Comparative analysis of speed decoding algorithms for rotary incremental encoders." (2017).??
Google Scholar
23
-
Yin, Liuliu, et al. "Application of drive circuit based on L298N in direct current motor speed control system." Advanced Laser Manufacturing Technology. Vol. 10153. International Society for Optics and Photonics, 2016.?
Google Scholar
24
-
Tepljakov, Aleksei, et al. "Fractional-order controller design and digital implementation using FOMCON toolbox for MATLAB." 2013 IEEE conference on computer-aided control system design (CACSD). IEEE, 2013.
Google Scholar
25
-
Agarwal, Jeetendra, et al. "Analysis of grey wolf optimizer based fractional order PID controller in speed control of DC motor." Microsystem Technologies24.12 (2018): 4997-5006.
Google Scholar
26
-
Verma, Santosh ,et al. "Optimization of fractional order PID controller using grey wolf optimizer." Journal of Control, Automation and Electrical Systems 28.3 (2017): 314-322.?
Google Scholar
27