Artificial Bee Colony Optimization Technique Based Speed Control of DC Motor
P. S. Vikhe1, M. S. Patil2, C. B. Kadu3, V. V. Mandhare4
1V. V. Mandhare, Associate Professor, Department of Computer Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India.
2P.S. Vikhe, Associate Professor, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India.
3M. S. Patil, Department of Instrumentation and Process Control, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India.
4C. B. Kadu, Head, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 2238-2241 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9723109119/2019©BEIESP | DOI: 10.35940/ijeat.A9723.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Control of Speed, Artificial Bee Colony Optimization, PID Controller.