MARC details
| 000 -LEADER |
|---|
| fixed length control field |
04154ntm a2200337 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251224154306.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
|---|
| fixed length control field |
t||||fr|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
251224b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
THE0010180 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UMPSA |
| Language of cataloging |
eng |
| Transcribing agency |
UMPSA |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FTKPM .I34 2025 r Thesis |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Nur Iffah Binti Mohamed Azmi, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Novel particle swarm optimisation approach integrating lévy flight and doppler effect for pid parameter optimisation in dc motor systems / |
| Statement of responsibility, etc. |
Nur Iffah Binti Mohamed Azmi |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMPSA , |
| Date of production, publication, distribution, manufacture, or copyright notice |
2025 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
© 2025 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xviii, 192 pages : |
| Other physical details |
illustrations ;illustrations ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Faculty of Manufacturing & Mechatronics Engineering Technology |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2025 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Optimisation plays a critical role in solving complex engineering problems, particularly within constrained optimisation and control system tuning domains. This research proposes an enhanced swarm intelligence algorithm (Particle Swarm Optimisation with Lévy Flight and Doppler Effect (PSO-LFDE)) designed to address the limitations of classical PSO by improving convergence velocity, solution quality, and robustness in high-dimensional, multimodal search landscapes. The proposed algorithm incorporates Lévy Flight (LF) to facilitate adaptive, long-distance position updates for superior global exploration, and integrates a Doppler Effect (DE)-inspired mechanism to dynamically modulate inertia weights, enhancing the balance between exploration and exploitation throughout the search process. The algorithm’s efficacy is evaluated through a comprehensive set of six constrained optimisation benchmark functions and a mechanical design problem (the speed reducer design) widely used in engineering optimisation research. PSO-LFDE’s performance is benchmarked against 13 state-of-the-art algorithms including α-Simplex, ASCHEA, CRGAL, CULDEV, DSS-MDEV2, DEVLC, HEA-ACT, ISR, MBA, PSO-DEV, SAPF, SMES, and SR. For the speed reducer optimisation, comparative analysis is performed against DSS-MDEV2, DEVLC, HEA-ACT, MBA, PSO-DEV, mbDEV, and the Society and Civilisation Algorithm (SC). Simulations are implemented in MATLAB R2017a, with real-time validation via Arduino-based PID-controlled DC motor hardware to assess practical feasibility. Results demonstrate that PSO-LFDE consistently achieves superior best and mean fitness values, significantly reducing standard deviation across all benchmark functions, indicating enhanced stability. In the speed reducer design task, PSO-LFDE yields the most optimal parameter configuration. Mean Absolute Error (MAE) analysis further validates the algorithm’s accuracy, with PSO-LFDE ranking first among 14 algorithms on benchmark functions (MAE = -893.4400), and first among 8 on engineering design problems (MAE = -631.0300), surpassing algorithms such as DSS-MDEV2 and HEA-ACT. In control system tuning, PSO-LFDE enhances the dynamic performance of a DC motor, achieving up to 86.78% faster settling time, 70.60% reduction in peak time, and lower steady-state error compared to conventional PSO. Across multiple set-point inputs for both position (10, 30, 60 cm) and speed (5, 10, 15 rpm) control, PSO-LFDE demonstrates consistently improved rise time, settling time, and overshoot reduction. The combination of swarm intelligence and physics-inspired strategies in PSO-LFDE establishes a promising framework for high-performance optimisation in constrained environments, with significant implications for engineering design, intelligent control, and real-time embedded systems. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Faculty of Manufacturing & Mechatronics Engineering Technology |
| 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 |
Thesis |
| General subdivision |
Dissertations |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |