Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2021.2008621
An optimized design modelling of PV integrated SEPIC-based four-switch inverter for sensorless PMBLDC motor control
Poovizhi Mani
; Department of EEE, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, India
Senthil Kumaran Mahadevan
; Department of EEE, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, India
Anitha Roseline Johnson
; Department of EEE, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, India
Murugesan Kullan
; Department of EEE, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, India
Sažetak
The design of PV-based high gain SEPIC converter integrated with four-switch strategy, which has been used to achieve sensorless speed control of Permanent magnet Brushless DC motor (PMBLDC) is analysed in this work. Hence SEPIC converter coupled with Fuzzy Logic, MPPT Algorithm is employed to retain voltage. SEPIC converter is chosen as it has a continuous current operation with high gain; Fuzzy MPPT algorithm is used as it provides accurate results faster while the classical MPPT techniques provide the results with fluctuations in attaining the maximum power. Regarding the sensorless control of PMBLDC motor, the conventional six-switch strategy is replaced by four-switch strategy and the sensors are replaced by back EMF method. Four-switch strategy has the capability of reducing the losses, size, cost and complexity of control. For achieving the nominal speed, a closed-loop control is implemented with PI controller, which is tuned by GWO technique. The proposed methodology is more efficient as the motor speed remains unchanged even under the full load condition. The end result of traditional PI algorithm and PI algorithm, which have been tuned by GWO algorithm, is compared and simulated through MATLAB. This is also implemented and validated in hardware by FPGA Spartan 6E controller.
Ključne riječi
BLDC motor; SEPIC converter; four-switch VSI; PI controller; speed control; GWO algorithm; Fuzzy Logic MPPT algorithm
Hrčak ID:
286669
URI
Datum izdavanja:
26.12.2021.
Posjeta: 209 *