Abstract
The present work deals with comparative and robustness analysis of grey wolf optimization (GWO) based fractional order proportional–integral derivative (FOPID) controller for speed control of DC motor. The GWO is a meta-heuristic algorithm inspired from the social hunting behaviour of grey wolves as search agents. The GWO algorithm maintains a proper balance between exploration and exploitation processes. The integral of time multiplied absolute error (ITAE) has been taken as an objective function for obtaining the parameters of FOPID controller by GWO. Comparison of proposed GWO/FOPID approach with other existing techniques has also been shown along with GWO/PID. It has been observed that proposed approach with ITAE as an objective function gives less settling, rise times and comparable overshoot in comparison to existing approaches in the literature. The robustness analysis of GWO/FOPID approach has also been carried out with variations in the parameters of DC motor.
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Abbreviations
- R a :
-
Armature resistance (Ω)
- L a :
-
Inductance of armature winding (H)
- ω:
-
Angular speed of motor shaft (rad/s)
- J :
-
Equivalent moment of inertia of motor and load referred to motor shaft (kg m2)
- D :
-
Equivalent friction coefficient of motor and load referred to motor shaft (Nm*s/rad)
- K:
-
Motor torque constant
- Kb :
-
Back EMF constant
References
Ang KH, Chong G, Li Y (2005) PID control system analysis, design and technology. IEEE Trans Control Syst Technol 13:559–576
Dalau M, Gligor A, Dalau TM (2017) Fractional order controllers versus integer order controllers. Proc Eng 181:538–545
Gaing ZL (2004) A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Trans Energy Convers 19:384–391
Khalilpuor M, Razmjooy N, Hosseini H, Moallem P (2011) Optimal control of DC motor using invasive weed optimization (IWO) algorithm. In: Majlesi conference on electrical engineering, Majlesi town, Isfahan, Iran
Khanam I, Parmar G (2017) Application of SFS algorithm in control of DC motor and comparative analysis. In: 4th IEEE Uttar Pradesh section international conference on electrical, computer and electronics (UPCON 2017), GLA University Mathura, October 26–28
Madadi A, Motlajh MM (2014) Optimal control of DC motor using grey wolf optimizer algorithm. Tech J Eng Appl Sci 4:373–379
Mao W-L, Hung C-W (2017) Type-2 fuzzy neural network using grey wolf optimizer learning algorithm for nonlinear system identification. Microsyst Technol J. https://doi.org/10.1007/s00542-017-3636-x
Mirjalili S (2015) How effective is the grey wolf optimizer in training multi-layer perceptrons. Appl Intell J 43(1):150–161
Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46–61
Nasri M, Pour HN (2007) A PSO based optimum design of PID controller for a linear brushless DC motor. Proc World Acad Sci Eng Technol 20:211–215
Podlubny I (1999) Fractional-order systems and PID controllers. IEEE Trans Autom Control 44(1):208–213
Shah P, Agashe S (2016) Review of fractional PID controller. Mechatronics 38:29–41. https://doi.org/10.1016/j.mechatronics.2016.06.005
Thomas N (2009) Position control of DC motor using genetic algorithm based PID controller. In: Proceeding of the World Congress on Engineering, WCE 2009, July 1–3, vol II. London, UK, pp 1618–1622. ISBN:978-988-18210-1-0
Verma SK, Yadav S, Nagar SK (2017) Optimization of fractional Order PID controller using grey wolf optimizer. J Control Autom Electr Syst 28(3):314–322
Acknowledgements
The author would like to thank Nuclear Power Corporation India Ltd, Department of Atomic Energy, Rawatbhata Rajasthan site for providing the lab and simulation facilities to complete this work.
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Agarwal, J., Parmar, G., Gupta, R. et al. Analysis of grey wolf optimizer based fractional order PID controller in speed control of DC motor. Microsyst Technol 24, 4997–5006 (2018). https://doi.org/10.1007/s00542-018-3920-4
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DOI: https://doi.org/10.1007/s00542-018-3920-4