Abstract

The objective of this paper is to propose the real-time implementation of a fault-tolerant strategy based on fuzzy logic controller (FLC) for a Six-Phase Axial Flux Permanent Magnet Synchronous Machine (6P-AFPMSM) for electrical energy production. This type of machine, suitable for high-power applications, is highly affected by the harmonics of the inductances and the electromotive force (emf) compared to the classical three-phase radial flux machine, which will influence the controller parameters of the machine. The proposed control strategy based on FLC is independent of the system model and guarantees the robustness of the process against disturbances and parameter variations of the model. An experimental comparison between FLC and a classical PI controller confirms the efficiency and the robustness of the proposed controller in healthy and faulty conditions with one open phase.

Highlights

  • Wind energy, which becomes the most important source of renewable energy production with low CO2 emission, is growing year-on-year around the world

  • To compute the output value of the fuzzy logic controller (FLC), we use the center of gravity method defined in (12), which consists of computing the abscissa of the center of gravity of the resulting membership function as: i=n

  • The experimental results illustrate the advantage of using an FLC over the traditional PI controller

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Summary

Introduction

Wind energy, which becomes the most important source of renewable energy production with low CO2 emission, is growing year-on-year around the world. The main advantages of this machine topology over conventional radial flux machine are the compactness, the robustness and the high torque-to-weight ratio [2,3,4,5,6,7] They are recognized for high-power applications, whether in motor or generator mode, the classical three-phase structure induces many problems of safety, reliability and feasibility. Despite the preservation of energy production in faulty mode with multi-phase machines, power ripples subsist in this case due to the unbalance structure the statormachines, and the rotor. To limitin this effect, the PI modebetween with multi-phase power ripples subsist this case due tocontrollers the unbalance usually used in.

Topology and Model of 6P-AFPMSM
The of thisof machine are given the Appenas shown the Appendix
Field Oriented Control
The Fuzzification of Input Variables
Inference Engine from a Knowledge Base
Defuzzification
Test Bed Presentation
Figures seen in
11. Faulty
Discussion
Conclusions

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