NDLI: An Adaptive Filter Based Fuzzy Logic Controller Incorporating MTPA for IPMSM Drives

Content Provider	IEEE Xplore Digital Library
Author	Habbi, H.M.D. Menhas, M.I. Huang Surong
Copyright Year	2009
Abstract	This paper presents an adaptive filter for fuzzy-logic controller for vector controlled based speed controller incorporating with a maximum torque per ampere (MTPA) of an interior permanent magnet synchronous motor (IPMSM) drive to minimize the torque ripple. The design and optimization of the FLC, infinite impulse response (IIR) filter and the adaptation algorithms are presented. Different operating conditions have been studied including various speed commands with nominal and changes in the load torque. A fuzzy logic controller (FLC) for the IPMSM drive has been found to maintain high performance standards with a much simpler and less computation implementation. An open loop adaptive filter is used to give a fast response while retaining a good noise canceling properties. The simulation was done by using Matlab/Simulink. The simulated results confirmed that the considerable torque ripple reduction can be achieved by utilizing an adaptive filter with FLC.
Starting Page	224
Ending Page	227
File Size	326720
Page Count	4
File Format	PDF
ISBN	9780769539164
DOI	10.1109/KESE.2009.63
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computational modeling Adaptive filters IIR filters Open loop systems Permanent magnet motors IPMSM Adaptive filter Design optimization Fuzzy logic Magnetic separation Torque control Fuzzy logic controller Infinite impulse response (IIR)
Content Type	Text
Resource Type	Article

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