Open AccessArtificial Bee Colony Optimization Technique Based Speed Control of DC Motor
Author(s) -
V. V. Mandhare,
P. S. Vikhe,
Manoj Patil,
C.B. Kadu
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9723.109119
Subject(s) - pid controller , control theory (sociology) , dc motor , artificial bee colony algorithm , controller (irrigation) , computer science , electronic speed control , set (abstract data type) , control engineering , work (physics) , control (management) , engineering , temperature control , artificial intelligence , mechanical engineering , agronomy , electrical engineering , biology , programming language
This work deals with Fractional Order Proportional-Integral-Derivative (FOPID) based controllers designing using Bio-inspired Artificial Bee Colony (ABC) algorithm. The operating principle of bio-inspired optimization techniques are originated from various biological systems. Thus, ABC algorithm works similar to working principle of bees. In this work, second order system model of a DC motor has been considered for speed control of DC motor. The proposed optimization method can be used for higher order approaches, to provide minimum error with efficient system performance. The aim of this research work is to design and tune parameters of FOPID controller, for effective static and dynamic performance. The automatic controller tunning ability for PID is possible using ABC algorithm and fractional order system provides effective solution set for search output parameters of PID.