NDLI: Optimizing of IP speed controller using particle swarm optimization for FOC of an induction motor

Content Provider	Springer Nature Link
Author	Bekakra, Youcef Ben Attous, Djilani
Copyright Year	2015
Abstract	This paper presents a modern approach for speed control of an induction motor (IM) using the particle swarm optimization (PSO) method for determining the optimal parameters, K $_{ p }$ and K $_{ i }$, of the integral proportional (IP) controller. The use of PSO as an optimization algorithm makes the drive robust, with faster dynamic response, higher accuracy and insensitive to load variation. Comparison between different controllers is achieved, using an IP controller which is tuned by two methods, firstly manually and secondly using the PSO technique. Integral time absolute error, integral absolute error and integral square error performance indices are considered to satisfy the required criteria in output speed of an IM. From the simulation results it is observed that the IP controller designed with PSO yields better results when compared to the traditional method in terms of performance index.
Starting Page	361
Ending Page	369
Page Count	9
File Format	PDF
ISSN	09756809
Journal	International Journal of System Assurance Engineering and Management
Volume Number	8
Issue Number	1
e-ISSN	09764348
Language	English
Publisher	Springer India
Publisher Date	2015-10-22
Publisher Place	New Delhi
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Induction motor Field oriented control Integral proportional (IP) controller Particle swarm optimization (PSO) Tuning off-line Quality Control, Reliability, Safety and Risk Engineering Economics, Organization, Logistics, Marketing
Content Type	Text
Resource Type	Article
Subject	Strategy and Management Safety, Risk, Reliability and Quality

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