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

Mohd Zainal, Muhammad Iktisyam (2018) Single input fuzzy logic controller for yaw control of underwater remotely operated crawler. Masters thesis, Universiti Teknikal Malaysia Melaka.

	Text (24 Pages) Single Input Fuzzy Logic Controller For Yaw Control Of Underwater Remotely Operated Crawler - Muhammad Iktisyam Mohd Zainal - 24 Pages.pdf - Submitted Version Download (1MB)
	Text (Full Text) Single input fuzzy logic controller for yaw control of underwater remotely operated crawler.pdf - Submitted Version Restricted to Registered users only Download (5MB)

Abstract

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.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Robots,Control systems, Design and construction, Mobile robots, Remote submersibles, Automatic control, Single Input Fuzzy Logic Controller, Yaw Control, Underwater Remotely Operated Crawler
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery
Divisions:	Library > Tesis > FKE
Depositing User:	Nor Aini Md. Jali
Date Deposited:	28 Aug 2019 08:50
Last Modified:	02 Jun 2022 08:41
URI:	http://eprints.utem.edu.my/id/eprint/23485
Statistic Details:	View Download Statistic

Actions (login required)

View Item