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A dSPACE-based implementation of ANFIS and predictive current control for a single phase boost power factor
Badreddine Babes1, Samia Latrèche2, Amar Bouafassa3
1Research Center in Industrial Technologies CRTI, Algiers, Algeria.
This study introduces an adaptive neuro-fuzzy inference system (ANFIS) and predictive current control for AC/DC boost rectifiers. The innovative approach significantly improves power factor and reduces harmonic distortion for better energy efficiency.
Area of Science:
- Electrical Engineering
- Power Electronics
- Control Systems
Background:
- AC/DC boost rectifiers face challenges in power quality and energy efficiency.
- Maintaining a high power factor and low harmonic distortion is crucial for grid stability.
Purpose of the Study:
- To present an innovative control scheme for AC/DC boost rectifiers.
- To enhance power factor and reduce total harmonic distortion (THD).
- To improve overall energy efficiency and grid stability.
Main Methods:
- Integration of an adaptive neuro-fuzzy inference system (ANFIS) with predictive current control.
- Rigorous simulation and validation using a 500 W laboratory prototype with a dSPACE ds1104 controller.
- Analysis of steady-state and transient responses under various operating conditions.
Main Results:
- Achieved a total harmonic distortion (THD) of 3.5%, below the IEEE-519 standard (5%).
- Reached a power factor of 0.990, indicating near-unity power factor operation.
- Demonstrated robust transient response with minimal output voltage overshoot/undershoot (18 V/20 V) and rapid response time (0.2 s).
Conclusions:
- The proposed ANFIS-integrated predictive control scheme offers a superior solution for power factor correction in AC/DC boost rectifiers.
- The system significantly enhances power quality and energy efficiency, outperforming conventional methods.
- This approach promises substantial energy savings and improved grid stability, setting new benchmarks in power electronics control.
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