A comparative study of pv fed speed control of dc motor using soft computing techniques

Geerththanna, A; Sahoo, SK

dc.contributor.author	Geerththanna, A
dc.contributor.author	Sahoo, SK
dc.date.accessioned	2017-04-24T08:26:30Z
dc.date.available	2017-04-24T08:26:30Z
dc.identifier.uri	http://dl.lib.mrt.ac.lk/handle/123/12674
dc.description.abstract	This paper proposes the design a of PID controller to improve the dynamic response of a DC motor using Particle Swarm Optimization and comparing it with that obtained from fuzzy logic. The parameters of the PID controller are tuned in such a way that the settling time, rise time, maximum overshoot in the response are reduced and is closer to the expected ideal response. The model for DC motor was created in MATLAB/Simulink environment and the stimulation results were obtained.	en_US
dc.language.iso	en	en_US
dc.subject	DC motor	en_US
dc.subject	Fuzzy logic	en_US
dc.subject	particle swarm optimization	en_US
dc.subject	PID tuning	en_US
dc.subject	speed control	en_US
dc.title	A comparative study of pv fed speed control of dc motor using soft computing techniques	en_US
dc.type	Conference-Abstract	en_US
dc.identifier.faculty	Engineering	en_US
dc.identifier.year	2016	en_US
dc.identifier.conference	7th International Conference on Sustainable Built Environment	en_US
dc.identifier.place	Kandy	en_US
dc.identifier.proceeding	Proceedings of the 7th International Conference on Sustainable Built Environment	en_US
dc.identifier.email	akeertha@gmail.com	en_US