Speed Control of BLDC Motor using Open Loop, PID Controller and Neural Network
P. S. Vikhe1, B. S. Shukla2, C. B. Kadu3, V. V. Mandhare4

1P.S. Vikhe, Associate Professor, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India.
2B. S. Shukla, Department of Instrumentation and Process Control, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India.
3C. B. Kadu, Head, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India.
4V. V. Mandhare, Associate Professor, Department of Computer 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: 2210-2213 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9710109119/2019©BEIESP | DOI: 10.35940/ijeat.A9710.109119
Open Access | Ethics and Policies | Cite | Mendeley
© 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: The low cost of manufacturing having higher performance is main goal of upcoming and present applications. However, its possible to achive these aims using brushless DC motors (BLDC), due to its use in many applications. The applications such as sppining, drilling, elevators, lathes, etc can be exicuted using BLDC motor and can replace conventional DC brush motor. The effective vechiel control required for applications of variable speed can be achived using BLDC motors. This paper presents speed control of BLDC motor for open loop using PID and neural network techniques and their comparative study. From the simulation study it is observed that neural network gives better performance compaiered to other technique.
Keywords: Artificial Neural Network, PID, Open Loop, Control of Speed