Title
Tuning Factor the Single Input Fuzzy Logic Controller to Improve the Performances of Depth Control for Underwater Remotely Operated Vehicle
Abstract
This paper investigates the factor of tuning variable parameter for Single Input Fuzzy Logic Controller (SIFLC) to improve the performances of depth control for the underwater Remotely Operated Vehicle (ROV). This study and investigates will focus on the number of rules in SIFLC, lookup table, slope of a linear equation, and also model reference to give optimum performances of depth control without overshoot in system response and faster rise time and settling time. The variable parameter for SIFLC is tuned by Particle Swarm Optimization (PSO) algorithm. The investigation focused on the number of rules will be reduced,SIFLC parameter reduced, represented lookup table as a linear control surface method to represent the inference engine of FLC. The investigation on model reference also covered in this paper. The current of model reference will give the best system response for depth control. The slope of linear equation either in positive and negative values and come up from conventional FLC then will simplify into SIFLC. The results obtained the number of rules, the slope of linear equations and model reference will be affecting the results of system performances.
Year
DOI
Venue
2013
10.1109/EMS.2013.1
EMS
Keywords
Field
DocType
underwater remotely operated vehicle,system response,linear control surface method,system performance,lookup table,tuning factor,linear equation,best system response,depth control,siflc parameter,model reference,single input fuzzy logic,variable parameter,fuzzy control
Particle swarm optimization,Remotely operated underwater vehicle,Linear equation,Lookup table,Control theory,Settling time,Overshoot (signal),Rise time,Control engineering,Fuzzy control system,Engineering
Conference
ISSN
Citations 
PageRank 
2473-3539
0
0.34
References 
Authors
2
5