Time Domain Investigation of Hybrid Intelligent Controllers Fed Five-Phase PMBLDC Motor Drive

This paper presents a modeling and performance evaluation of a five-phase PMBLDC motor with different controllers to analyze its transients and dynamic response with time domain specifications. Four different types of speed controllers, namely an Adaptive Neuro-Fuzzy Inference System (ANFIS), an Ada...

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Bibliographic Details
Published in:Applied sciences 2023-03, Vol.13 (5), p.3281
Main Authors: Inayathullaah, M. A., Sivakumar, N., Balasundaram, Ananthakrishnan, Arul, R., Angalaeswari, S.
Format: Article
Language:English
Subjects:
Adaptive systems
ANFIS controller
Brushless DC motors (BLDC)
Brushless motors
Comparative analysis
Controllers
Direct current
Dynamic response
Electric vehicles
Fault tolerance
five-phase
Fuzzy logic
fuzzy logic controller
Investigations
Load fluctuation
Magnets, Permanent
Mathematical models
Permanent Magnet (PM) motor
Permanent magnets
proportional plus Integral controller (PI)
Simulation
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Summary:This paper presents a modeling and performance evaluation of a five-phase PMBLDC motor with different controllers to analyze its transients and dynamic response with time domain specifications. Four different types of speed controllers, namely an Adaptive Neuro-Fuzzy Inference System (ANFIS), an Adaptive Hybrid fuzzy-PI, a Proportional Integral (PI) control and a Fuzzy Logic Control (FLC), were considered and compared for this purpose. The mathematical model of the five-phase Permanent Magnet Brushless Direct Current (PMBLDC) motor was developed and simulated using MATLAB/Simulink to analyze its performance. The simulation results for all controllers with step and linear load fluctuations were evaluated. It was evident that the ANFIS controller provided a better dynamic time domain response than the other controllers. It gave eight times the peak torque at starting, and settled at 92.6% of the rated speed, with negligible overshoot, a very low rise time and a quick settling time compared to other controllers, which are ideally suited for an electric vehicle (EV). A real-time experimental setup was also developed, and experiments were carried out to validate the simulation results.
ISSN:2076-3417
2076-3417
DOI:10.3390/app13053281