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Modified PSO Algorithm for Controller Optimization of a PFC Ćuk Converter-Fed PMBLDCM Drive

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 436))

Abstract

This paper presents a modified particle swarm optimization (PSO) algorithm for the selection of controller parameter for a Ćuk converter-fed PMBLDCM drive. The main objective of the proposed algorithm for controller optimization is to achieve power factor correction (PFC) at AC mains of the PMBLDCM drive. The PSO is modified to achieve the above objectives for a PMBLDC motor rated as 1.01 KW, 3000 rpm, 310 V, and 3.2 Nm. The complete drive is designed, modeled, and its performance is simulated in MATLAB-Simulink. The simulated results of the drive are presented to demonstrate the desired power quality at AC mains along with the desired speed and torque for the searched values of the controller parameters.

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Correspondence to Rinku K. Chandolia .

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© 2016 Springer Science+Business Media Singapore

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Chandolia, R.K., Singh, S. (2016). Modified PSO Algorithm for Controller Optimization of a PFC Ćuk Converter-Fed PMBLDCM Drive. 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_82

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  • DOI: https://doi.org/10.1007/978-981-10-0448-3_82

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0447-6

  • Online ISBN: 978-981-10-0448-3

  • eBook Packages: EngineeringEngineering (R0)

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