Open Access Open Access  Restricted Access Subscription or Fee Access

Braking of Three Phase Induction Motors by Controlling Applied Voltage and Frequency Based on Particle Swarm Optimization Technique

(*) Corresponding author

Authors' affiliations



Braking of three phase induction motors is required in many industrial applications. This paper introduces braking of three phase induction motors using particle swarm optimization (PSO) technique. The objective is to determine the optimum values of the applied voltage and frequency during braking to stop the motor in a certain time with minimum braking energy losses to limit any excessive thermal heating. The proposed technique is important and more useful in applications of repeated braking cycles. The results are compared with that obtained using plugging braking method and it's found that the proposed technique gives lower braking energy and shorter braking time. The braking energy losses with the proposed method are about 20% of the plugging braking energy losses with the same braking time. The proposed method determines the variation of optimal values of applied voltage and frequency to have a certain braking time of three phase induction motor at a certain load torque with minimum braking energy losses. The characteristics of the motor are simulated using SIMULINK/MATLAB.
Copyright © 2015 Praise Worthy Prize - All rights reserved.


Braking; Induction Motor; Plugging; PSO; Regenerative Braking

Full Text:



Marko Hinkkanen and JormaLuomi, Braking Scheme for Vector-Controlled Induction Motor Drives Equipped With Diode Rectifier Without Braking Resistor, IEEE Transactions on Industry Applications, Vol. 42(No.5):1257-1263, September/October 2006.

P.L. Rongmei, Shimi S.L, Dr. S. Chatterji and Vinod K. Sharma, A Novel Fast Braking System for Induction Motor, International Journal of Engineering and Innovative Technology (IJEIT), Vol.1(Issue 6): 65-69, June 2012.

MukulRastogi and Peter W. Hammond, Dual-Frequency Braking in AC Drives, IEEE Transactions On Power Electronics, Vol. 1:(NO. 6): 1032-1040, November 2002.

Bilal Abdullah Nasir, Braking Methods of Induction Motor Fed From A Current- Source Inverter, Elsevier, Energy Procedia 14: 1819-1824, 2012.

Hairik, H.A. Thejel, R.H. Kadhem and W.A., Proposed scheme for plugging three-phase induction motor, MELECON 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference, Valletta: 1-5, 26-28 April 2010.

Laabidi, M. Rebhi, B. Kourda, F. Elleuch and M. Ghodbani L., Braking of induction motor with the technique of discrete frequency control, Systems Signals and Devices (SSD), 2010 7th International Multi-Conference, Amma: 1-6, 27-30 June 2010.

Sowilam, G.M.A., Korfly, M.I. and Hassan A.A., Braking methods of induction motor using direct torque control, Power Systems Conference, MEPCON 2006, Eleventh International Middle East, vol.: 35 – 40 ,2006.

Amin, A.M.A., El Korfally M.I., Sayed, A.A. and Hegazy, O.T.M., Efficiency Optimization of Two-Asymmetrical-Winding Induction Motor Based on Swarm Intelligence, Energy Conversion, IEEE Transactions, Vol 24(Issue 1): 12 – 20, 2009.

Ping Guo, Dagui Huang, Daiwei Feng, Wenzheng Yu and Hailong Zhang, Optimized design of induction motor parameters based on PSO (Particle Swarm Optimization), Mechatronics and Automation (ICMA), International Conference , Chengdu: 837 – 842, 5-8 Aug. 2012.

Tofighi, E.M., Mahdizadeh, A. and Feyzi M.R., Online estimation of induction motor parameters using a modified particle swarm optimization technique, Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE: 3645 – 3650, 10-13 Nov. 2013.

Wei Hu, Gui Liu, Li Fu and Hongmei Zhang, Research of motor fault diagnosis based on PSO algorithm, Control and Decision Conference (CCDC), 2013 25th Chinese, Guiyang, 25-27 May 2013.

John Chiasson, Modelling and high performance control of electric machines (John Wiley & Sons, Inc., 2005).

Xin She Yang, Natural Inspired Metaheuristic algorithm, (Luniver Press, University of Cambrodge, United Kingdom, second edition, 2010).

Shi Y, Eberhart R., A modified particle swarm optimizer, Proceedings of IEEE International Conference on Evolutionary Computation (ICEC’98), Anchorage, IEEE Press: 69–73. , 1998.

Shi Y, Eberhart R. Parameter selection in particle swarm optimization, Proceedings of the 1998 Annual Conference on Evolutionary Programming, San Diego, MIT Press, 1998.

Damiano, A., Gatto, G., Marongiu, I., Meo, S., Perfetto, A., Serpi, A., A predictive direct torque control of induction machines, (2012) International Review of Electrical Engineering (IREE), 7 (4), pp. 4837-4844.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2023 Praise Worthy Prize