TY  - CONF
A1  - Wahyunggoro, O.
A1  - Saad, N.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-76449083766&doi=10.1109%2fISIEA.2009.5356446&partnerID=40&md5=9c4bb131f53964b81d3ee249c89396cf
EP  - 276
VL  - 1
Y1  - 2009///
SN  - 9781424446827
N2  - 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 Integral Controller (FLIC) in which the I/O scale factors, membership functions, and rules of Fuzzy Logic Controller (FLC) and integrator constant are optimized using Genetic Algorithm (GA) sequentially. The singleton fuzzification is used as a fuzzifier: seven membership functions initially 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 for I/O scales, and 21-bit-30-population is used in GA for membership functions. Two control modes are applied in cascaded to the plant: position control and speed control . Simulation results show that FLIC with GAoptimized is the best performance compared to FLIC, FLC, and FLC with GA. © 2009 IEEE.
N1  - cited By 0; Conference of 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 ; Conference Date: 4 October 2009 Through 6 October 2009; Conference Code:79286
ID  - scholars526
SP  - 271
TI  - Genetic algorithm optimization of I/O scales and parameters for FLIC in servomotor control
KW  - Control modes; Controller performance; DC servomotor control; Defuzzifiers; Direct current; Feedback controller; Fuzzifications; Fuzzy; Fuzzy genetic algorithms; Fuzzy logic controllers; Genetic-algorithm optimizations; Input and outputs; Integral controllers; MATLAB /simulink; Modeling and simulation; Robot manipulator; Scale Factor; Servo motor control; Simulation result
KW  -  Computer simulation; Fuzzy logic; Fuzzy systems; Genetic algorithms; Genetic engineering; Industrial electronics; Membership functions; Robot applications; Servomotors
KW  -  Controllers
CY  - Kuala Lumpur
AV  - none
ER  -