03495ntm a2200361 i 4500 0 0 lcc 0 0 REF 20000 20000 REF 2022-01-13 0 FTKPM .N87 2021 r Thesis T000001515 2022-05-09 00:00:00 1 2022-01-13 THESIS 0 0 lcc 0 0 REF 20000 20000 REF 2022-03-11 0 CD12927 T000001516 2022-03-11 00:00:00 1 2022-03-11 THESIS 96395 96401 MY-KuUP 20251125105952.0 t||||fr|||| 000 0 220311b2021 my a|||frm||| 000 0 eng d THE0009154(Local) hardback UMP eng UMP rda FTKPM .N87 2021 r Thesis Nurainaa Elas, author. An application of modified adaptive bats sonar algorithm (MABSA) on fuzzy logic controller for dc motor accuracy / Nurainaa Elas Kuantan, Pahang : UMP, 2021 © 2021 xii, 78 pages : illustrations (some color) ; 30 cm. + 1 CD ROM text rdacontent text rdacontent unmediated rdamedia computer rdamedia volume rdacarrier computer disc rdacarrier text file PDF rda Faculty of Manufacturing and Mechatronic Engineering Technology Thesis (Master of Science) -- Universiti Malaysia Pahang – 2021 Includes bibliographical references Controllers are mostly used to improve the control system performance. The works related to controllers attract researchers since the controller can be applied to solve many industrial problems involving speed and position. Fuzzy logic controller (FLC) gains popularity since it is widely used in industrial application. However, the FLC structure is still lacking in terms of the accuracy and time response. Although there are optimization technique used to obtain both accuracy and time response, it is still lacking. Therefore, this research presents works on the FLC system which is the fuzzy inference system that will be optimized by the modified adaptive bats sonar algorithm (MABSA) for the DC servo motor position control. The MABSA will be optimized with the range of the membership input in the FLC. The research aims are to achieve accuracy while minimizing the time response of the DC servo motor. This is done by designing the FLC using the Matlab toolbox. After the FLC is designed completely, the Simulink block diagram for the DC servo motor and FLC are built to see the performance of the controller. The range of the membership function for inputs and outputs will be optimized by the MABSA to get the best positional values. The performance of the developed FLC with the optimized MABSA is verified through the simulation and robustness tests with the system that did not use the FLC and also the system without MABSA. It was demonstrated from the study that the proposed FLC with optimization of MABSA algorithm was able to yield an improvement of 3.8% with respect to the rise time in comparison to other control schemes evaluated. When compared with PSO algorithm, proposed FLC optimized by MABSA showed improvement by 12.5% in rise time and 10% in settling time. PSO-FLC also give 0.6% steady state error compared to the MABSA-FLC. In conclusion, the results validate the better performance in terms of rise time and settling time of the developed FLC that has been optimized by the MABSA. Faculty of Manufacturing and Mechatronic Engineering Technology Dissertations Universities and colleges Dissertations Theses lcc THESIS