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Volume 1 | Issue 2 | Year 2022 | Article Id: DST-V1I2P102 DOI: https://doi.org/10.59232/DST-V1I2P102
Modified Field-Oriented Control-Based Sensorless Speed Control for BLDC Motor via Elephant Herding Optimization
R.Surendiran
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 28 Oct 2022 | 11 Nov 2022 | 19 Nov 2022 | 05 Dec 2022 |
Citation
R.Surendiran. “Modified Field-Oriented Control-Based Sensorless Speed Control for BLDC Motor via Elephant Herding Optimization.” DS Journal of Digital Science and Technology, vol. 1, no. 2, pp. 11-17, 2022.
Abstract
Brushless DC (BLDC) motors are becoming increasingly popular and are replacing brush motors in a variety of applications due to their improved mechanical and electrical features and simple design. Speed encoders can be used to measure speed in the past, but they are quite costly and make noise when placed on the motor shaft. To overcome this issue, this research presents the sensorless speed control method, which is developed by sensing the speed and back-emf. In this paper, an intelligent Adaptive Network-based Fuzzy Inference System (ANFIS) and Elephant Herding Optimization (EHO) based Modified Field oriented control (MFOC) is proposed to regulate the BLDC motor speed. The main objective of the proposed technique is to control the BLDC motor system without a Hall sensor and speed encoder. Here, the proposed ANFIS controller is employed to create Hall signals. The pulses for the three-phase inverter are generated using an EHO-based MFOC technique, eliminating the need for logic gate circuits. MATLAB/Simulink is used to evaluate the proposed approach. The proposed approach has high efficiency and low time domain specifications, according to the findings of the experiments.
Keywords
BLDC motors, Sensorless speed control, ANFIS, Hall signals, Elephant herding optimization.
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