Optimization of pid parameters for hydraulic positioning system utilizing variable weight grey-taguchi and particle swarm optimization / (Record no. 6636)

MARC details
000 -LEADER
fixed length control field 02986ntm a2200277 a 4500
001 - CONTROL NUMBER
control field vtls000093889
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117113321.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160316t2015 my a f 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0005243(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905141514
Level of effort used to assign nonsubject heading access points hanafiah
-- 201603161557
-- huda
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) FKM .I34 2015 r Thesis
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Nur Iffah Mohamed Azmi
245 1# - TITLE STATEMENT
Title Optimization of pid parameters for hydraulic positioning system utilizing variable weight grey-taguchi and particle swarm optimization /
Statement of responsibility, etc. Nur Iffah Mohamed Azmi
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2015
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 121 p. :
Other physical details ill. ;
Dimensions 30 cm. +
Accompanying material 1 CD-ROM
500 ## - GENERAL NOTE
General note Faculty of Manufacturing Engineering
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Master of Engineering (Manufacturing)) -- Universiti Malaysia Pahang – 2015
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p. 107-113
520 3# - SUMMARY, ETC.
Summary, etc. Controller that uses PID parameters requires a good tuning method in order to improve the control system performance. Especially on hydraulic positioning system that is highly nonlinear and difficult to be controlled whereby PID parameters needs to be tuned to obtain optimum performance criteria. Tuning PID control method is divided into two namely the classical methods and the methods of artificial intelligence. Particle swarm optimization algorithm (PSO) is one of the artificial intelligence methods.Previously, researchers had integrated PSO algorithms in the PID parameter tuning process. This research aims to improve the PSO-PID tuning algorithms by integrating the tuning process with the Variable Weight Grey-Taguchi Design of Experiment (DOE) method. This is done by conducting the DOE on the two PSO optimizing parameters: the limit of change in particle velocity and the weight distribution factor. Computer simulations and physical experiments were conducted by using the proposedPSO-PID with the Variable Weight Grey-Taguchi DOE and the classical ZieglerNichols methods. They are implemented on the hydraulic positioning system. Simulation results show that the proposed PSO-PID with the Variable Weight GreyTaguchi DOE has reduced the rise time by 48.13% and settling time by 48.57% compared to the Ziegler-Nichols method. Physical experiment results also show that the proposed PSO-PID with the Variable Weight Grey-Taguchi DOE tuning responds better than Ziegler-Nichols tuning. In conclusion, this research has improved the PSO-PIDparameter by applying the PSO-PID algorithm together with the Variable Weight GreyTaguchi DOE method as a good tuning method in the hydraulic positioning system.
610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Faculty of Manufacturing Engineering
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Universities and Colleges
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theses
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost Library of Congress Classification   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   FKM .I34 2015 r Thesis 0000107850 04/09/2019 1 04/09/2019 Thesis
  Not lost Library of Congress Classification   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 9685 | FKM .I34 2015 r Thesis 0000107851 04/09/2019 1 04/09/2019 Thesis

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