Comparison of speed control of PMSM using adaptive fuzzy logic controller and PI controller (Record no. 8966)

MARC details
000 -LEADER
fixed length control field a
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190511122030.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190511b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 8418
Author Mahesh, J. Vishnu
245 ## - TITLE STATEMENT
Title Comparison of speed control of PMSM using adaptive fuzzy logic controller and PI controller
250 ## - EDITION STATEMENT
Volume, Issue number Vol. 8(3), Sep-December
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi
Name of publisher, distributor, etc. STM Journals
Year 2018
300 ## - PHYSICAL DESCRIPTION
Pagination 24-30p.
520 ## - SUMMARY, ETC.
Summary, etc. Permanent Magnet Synchronous Motors (PMSM) are widely used in low and mid power applications such as computer peripheral equipment, robotics, adjustable speed drives and electric vehicles. The growth in the market of permanent magnet motor drives has demanded the need of simulation tools capable of handling motor drive simulations. Simulations have helped the process of developing new systems including motor drives, by reducing cost and time. In a closed loop system, the speed of a permanent magnet synchronous motor can be controlled by measuring the actual speed of the motor. PI (Proportional Integral), PID (Proportional Integral Derivative) and fuzzy controllers are commonly used for the speed control. In this study, the speed responses of a PMSM are obtained using adaptive fuzzy PID controller. A parallel combination of two controllers, fuzzy PD controller and a fuzzy PI controller, forms the adaptive fuzzy PID controller. Switching action take place between the two controllers based on the error in the speed. MATLAB/Simulink is used for the simulation. A comparison and analysis is made between PI controller and adaptive fuzzy logic controller.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4623
Topical term or geographic name entry element Electrical Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 8416
Co-Author Karthika, S.
773 0# - HOST ITEM ENTRY
International Standard Serial Number 2321–4244
Place, publisher, and date of publication Noida STM Journals
Title Journal of power electronics and power systems
856 ## - ELECTRONIC LOCATION AND ACCESS
URL http://engineeringjournals.stmjournals.in/index.php/JoPEPS/article/view/1324
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Articles Abstract Database
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     School of Engineering & Technology School of Engineering & Technology Archieval Section 11/05/2019   2018476 10/06/2019 11/05/2019 Articles Abstract Database
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