Abstract
This paper presents the use of particle swarm optimization (PSO) algorithm modified for the search of optimized gain values of speed controller for a permanent magnet synchronous motor (PMSM) drive. The PSO is modified to generate particles in complete search space and have a multiobjective problem involving speed as well as torque error as independent variables of fitness function so as to minimize these errors. The proposed algorithm is modeled and simulated in MATLAB/Simulink environment. The obtained results are presented to demonstrate the effectiveness of the modified PSO algorithm for the desired speed control of the PMSM drive.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Krishnan, R.: Permanent Magnet Synchronous and Brushless DC Motor Drives. CRC Press, U.S.A. (2010)
Mekhiche, M., Nichols, S., Kirtley, J.L., Young, J., Boudreau, D., Jodoin, R.: High-speed, high-power density PMSM drive for fuel cell powered HEV application. In: IEEE International Electric Machines and Drives Conference, pp. 658–663 (2001)
Chou, M.C., Liaw, C.M.: PMSM driven satellite reaction wheel system with adjustable DC-Link voltage. IEEE Trans. Aerosp. Electron. Syst. 50(2), 1359–1373 (2014)
Veena, V.S., Achari, S., Ravichandran, M.H., Praveen, R.P.: Vector control of three phase PMSM drive using power transformations for future spacecraft application. In: IEEE International Conference on Circuit, Power Computing Technologies (ICCPCT) 313–319 (2014)
Masoudinejad, M., Feldhorst, S., Javadian, F., Homepel, M.T.: Reduction of energy consumption by proper speed selection in PMSM-Driven roller conveyers. IEEE Trans. Ind. Appl. 51(2), 1572–1578 (2015)
Kennedy, J., Eberhart, R.: Particle Swarm Optimization. International joint conference on neural networks. In: IEEE Proceedings, pp. 1942–1948 (1995)
Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization an overview. Swarm Intell., Springer US, 1(1), 33–57 (2007)
Thangaraj, R., Pant, M., Abraham, A., Snasel, V.: Modified particle swarm optimization with time varying velocity vector. Int. J. Innovative Comput., Inf. Control (ICIC) 8(1(A)), 201–218 (2012)
Singh, S., Singh, B.: Particle swarm optimization for power quality improvement of a 12-Pulse Rectifier-Chopper fed LCI-Synchronous motor drive. Int. J. Intell. Syst. Technol. Appl. (IJISTA) 11(3/4), 267–285 (2012)
Singh, S., Singh, B.: Optimized passive filter design using modified particle swarm optimization algorithm for a 12-Pulse Converter fed LCI-Synchronous motor drive. IEEE Trans. Ind. Appl. 50(4), 2681–2689 (2014)
Dwivedi, S.K., Laursen, M., Hansen, S.: Voltage vector based control for PMSM in industry Applications. In: IEEE International Symposium on Industrial Electronics (ISIE), pp. 3845–3850 (2010)
Dwivedi, S., Singh, B.: Vector control versus torque control comparative evaluation for PMSM drive. IEEE Power Electronics, Drives and Energy Systems (PEDES) & 2010 Power India, Joint International Conference, pp. 1–8 (2010)
Dost, P., Sourkounis, C.: On influence of various modulation schemes on a PMSM within an electric vehicle. In: IEEE Industry Applications Society Annual Meeting, pp. 1–10 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this paper
Cite this paper
Jamwal, P.S., Singh, S. (2016). Speed Controller Optimization for PMSM Drive Using PSO Algorithm. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_83
Download citation
DOI: https://doi.org/10.1007/978-981-10-0448-3_83
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0447-6
Online ISBN: 978-981-10-0448-3
eBook Packages: EngineeringEngineering (R0)