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Genetic algorithm optimization of I/O scales for FLIC in servomotor control

Wahyunggoro , O. and Saad ., Nordin (2009) Genetic algorithm optimization of I/O scales for FLIC in servomotor control. In: 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009, 25 July 2009 through 26 July 2009, Kuala Lumpur.

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Abstract

Direct Current (DC) servomotors are widely used in robot manipulator applications. Servomotors use feedback controller to control either the speed or the position or both. This paper discusses the modeling and simulation of DC servomotor control built using MATLAB/Simulink, and the analysis of controller performance, namely a Fuzzy Logic parallel I Controller (FLIC) in which the I/O scale factors of Fuzzy Logic Controller (FLC) and integrator constant are optimized using Genetic Algorithm (GA). The singleton fuzzification is used as a fuzzifier: seven membership functions for both input and output of fuzzy logic controller. The center average is used as a defuzzifier. The 32-bit-50-population is used in GA. Two control modes are applied in cascade to the plant: speed control in the position control loop. Simulation results show that FLIC with GA-optimized is the best performance compared to FLIC without GA and conventionalFLC for the speed and position control of DC servomotor. © 2009 IEEE.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Control modes; Controller performance; DC servomotor control; Dc servomotors; Defuzzifiers; Direct current; Feedback controller; Fuzzifications; Fuzzy logic controllers; Genetic-algorithm optimizations; Input and outputs; MATLAB /simulink; Modeling and simulation; Position control loop; Robot manipulator; Scale Factor; Servo motor control; Simulation result; Computer simulation; Fuzzy logic; Fuzzy sets; Genetic algorithms; Genetic engineering; Industrial applications; Intelligent systems; Membership functions; Optimization; Parallel algorithms; Position control; Robot applications; Servomotors; Controllers
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:313
Deposited By: Assoc Prof Dr Nordin Saad
Deposited On:04 Mar 2010 02:35
Last Modified:19 Jan 2017 08:25

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