Single input fuzzy logic controller for yaw control of underwater remotely operated crawler

Underwater Remotely Operated Crawler (ROC) is a class of the Unmanned Underwater Vehicle (UUV) that is tethered, unoccupied, manoeuvres on the seabed and remotely operated by a pilot from a platform. Underwater characteristic parameters such as added mass, buoyancy, hydrodynamic forces, underwater c...

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Main Author:	Mohd Zainal, Muhammad Iktisyam
Format:	Thesis
Language:	English English
Published:	2018
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://eprints.utem.edu.my/id/eprint/23485/1/Single%20Input%20Fuzzy%20Logic%20Controller%20For%20Yaw%20Control%20Of%20Underwater%20Remotely%20Operated%20Crawler%20-%20Muhammad%20Iktisyam%20Mohd%20Zainal%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/23485/2/Single%20input%20fuzzy%20logic%20controller%20for%20yaw%20control%20of%20underwater%20remotely%20operated%20crawler.pdf
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id	my-utem-ep.23485
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Mohd Aras, Mohd Shahrieel
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Mohd Zainal, Muhammad Iktisyam Single input fuzzy logic controller for yaw control of underwater remotely operated crawler
description	Underwater Remotely Operated Crawler (ROC) is a class of the Unmanned Underwater Vehicle (UUV) that is tethered, unoccupied, manoeuvres on the seabed and remotely operated by a pilot from a platform. Underwater characteristic parameters such as added mass, buoyancy, hydrodynamic forces, underwater currents, including pressure could considerably affect and reduce the mobility of the ROC. The challenges faced by the ROCs are that the needs to reduce the overshoot in the system response, including, the time response and settling time. For yaw control (a motion around the z-axis), an occurrence of an overshoot in the system response is highly intolerable. Reducing the overshoot in the ROC trajectory is crucial since there are many challenging underwater natures and underwater vehicle control problems while studies on finding the solutions are still ongoing to find an improvement. Conventional Proportional-Integral-Derivative (PID) controller is not robust to be applied in the ROC due to the non-linear dynamic model of the ROC and underwater conditions. Besides that, by reducing the overshoot, the ROC mobility will be much more efficient and provided a reliable platform for underwater data mining. This study is focused to give an optimum performance of yaw control without overshoot in the system response and faster time response. This research begins by designing an underwater ROC as the research’s platform. Then, the designed ROC is simulated by using SolidWorks software obtain the analysis of structural integrity and hydrodynamic properties. System identification technique is conducted to obtain the empirical modelling design of the fabricated ROC which equipped with Inertial Measurement Unit (IMU) sensor. The fuzzy logic controller (FLC) is designed based on 5 by 5 rule matrix which has to deal with fuzzification, rule base, inference mechanism and defuzzification operations. A simplification of the FLC is proposed and the method is called Single Input Fuzzy Logic Controller (SIFLC). The simplification is achieved by applying the “signed distance method” where the SIFLC reduces the two-input FLC to a single input FLC. In other words, SIFLC is based on the signed distance method which eventually reduces the controller as single input-single output (SISO) controller. A PID controller is designed for the purpose of benchmarking with the FLC and SIFLC. SIFLC has the capability to adapt the non-linear underwater parameters (currents, waves and etc.). This research has discussed and compared the performance of PID, FLC and SIFLC. The algorithm is verified in MATLAB/Simulink software. Based on the results, SIFLC provides more robust and reliable control system. Based on the computation results, SIFLC reduces the percentage of overshoot (%OS) of the system and achieve 0.121%, while other controllers (PID and FLC) 4.4% and 1.7% respectively. Even that so, this does not mean that PID and FLC are not reliable but due to the presence of %OS.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Mohd Zainal, Muhammad Iktisyam
author_facet	Mohd Zainal, Muhammad Iktisyam
author_sort	Mohd Zainal, Muhammad Iktisyam
title	Single input fuzzy logic controller for yaw control of underwater remotely operated crawler
title_short	Single input fuzzy logic controller for yaw control of underwater remotely operated crawler
title_full	Single input fuzzy logic controller for yaw control of underwater remotely operated crawler
title_fullStr	Single input fuzzy logic controller for yaw control of underwater remotely operated crawler
title_full_unstemmed	Single input fuzzy logic controller for yaw control of underwater remotely operated crawler
title_sort	single input fuzzy logic controller for yaw control of underwater remotely operated crawler
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Electrical Engineering
publishDate	2018
url	http://eprints.utem.edu.my/id/eprint/23485/1/Single%20Input%20Fuzzy%20Logic%20Controller%20For%20Yaw%20Control%20Of%20Underwater%20Remotely%20Operated%20Crawler%20-%20Muhammad%20Iktisyam%20Mohd%20Zainal%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/23485/2/Single%20input%20fuzzy%20logic%20controller%20for%20yaw%20control%20of%20underwater%20remotely%20operated%20crawler.pdf
_version_	1747834051015737344
spelling	my-utem-ep.234852022-06-02T08:41:22Z Single input fuzzy logic controller for yaw control of underwater remotely operated crawler 2018 Mohd Zainal, Muhammad Iktisyam T Technology (General) TJ Mechanical engineering and machinery Underwater Remotely Operated Crawler (ROC) is a class of the Unmanned Underwater Vehicle (UUV) that is tethered, unoccupied, manoeuvres on the seabed and remotely operated by a pilot from a platform. Underwater characteristic parameters such as added mass, buoyancy, hydrodynamic forces, underwater currents, including pressure could considerably affect and reduce the mobility of the ROC. The challenges faced by the ROCs are that the needs to reduce the overshoot in the system response, including, the time response and settling time. For yaw control (a motion around the z-axis), an occurrence of an overshoot in the system response is highly intolerable. Reducing the overshoot in the ROC trajectory is crucial since there are many challenging underwater natures and underwater vehicle control problems while studies on finding the solutions are still ongoing to find an improvement. Conventional Proportional-Integral-Derivative (PID) controller is not robust to be applied in the ROC due to the non-linear dynamic model of the ROC and underwater conditions. Besides that, by reducing the overshoot, the ROC mobility will be much more efficient and provided a reliable platform for underwater data mining. This study is focused to give an optimum performance of yaw control without overshoot in the system response and faster time response. This research begins by designing an underwater ROC as the research’s platform. Then, the designed ROC is simulated by using SolidWorks software obtain the analysis of structural integrity and hydrodynamic properties. System identification technique is conducted to obtain the empirical modelling design of the fabricated ROC which equipped with Inertial Measurement Unit (IMU) sensor. The fuzzy logic controller (FLC) is designed based on 5 by 5 rule matrix which has to deal with fuzzification, rule base, inference mechanism and defuzzification operations. A simplification of the FLC is proposed and the method is called Single Input Fuzzy Logic Controller (SIFLC). The simplification is achieved by applying the “signed distance method” where the SIFLC reduces the two-input FLC to a single input FLC. In other words, SIFLC is based on the signed distance method which eventually reduces the controller as single input-single output (SISO) controller. A PID controller is designed for the purpose of benchmarking with the FLC and SIFLC. SIFLC has the capability to adapt the non-linear underwater parameters (currents, waves and etc.). This research has discussed and compared the performance of PID, FLC and SIFLC. The algorithm is verified in MATLAB/Simulink software. Based on the results, SIFLC provides more robust and reliable control system. Based on the computation results, SIFLC reduces the percentage of overshoot (%OS) of the system and achieve 0.121%, while other controllers (PID and FLC) 4.4% and 1.7% respectively. Even that so, this does not mean that PID and FLC are not reliable but due to the presence of %OS. UTeM 2018 Thesis http://eprints.utem.edu.my/id/eprint/23485/ http://eprints.utem.edu.my/id/eprint/23485/1/Single%20Input%20Fuzzy%20Logic%20Controller%20For%20Yaw%20Control%20Of%20Underwater%20Remotely%20Operated%20Crawler%20-%20Muhammad%20Iktisyam%20Mohd%20Zainal%20-%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/23485/2/Single%20input%20fuzzy%20logic%20controller%20for%20yaw%20control%20of%20underwater%20remotely%20operated%20crawler.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=113268 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Electrical Engineering Mohd Aras, Mohd Shahrieel 1. Alleman, P., Kleiner, A., Steed, C. and Hook, D., 2009, October. Development of a New Unmanned Semi-Submersible (USS) Vehicle. In OCEANS 2009, MTS/IEEE BiloxiMarine Technology for Our Future: Global and Local Challenges, pp. 1-6. IEEE. 2. Amjad, M., Ishaque, K., Abdullah, S.S. and Salam, Z., 2010, June. 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Single input fuzzy logic controller for yaw control of underwater remotely operated crawler

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