TY  - JOUR
T1  - Robustness of the Fuzzy Adaptive Speed Control of a Multi-Phase Asynchronous Machine
AU  - Taıeb, Bessaad
AU  - Aderrahmen, Benbouali
AU  - Rachıd, Taleb
PY  - 2023
DA  - December
DO  - 10.55549/epstem.1409407
JF  - The Eurasia Proceedings of Science Technology Engineering and Mathematics
JO  - EPSTEM
PB  - ISRES Publishing
WT  - DergiPark
SN  - 2602-3199
SP  - 100
EP  - 108
VL  - 26
LA  - en
AB  - Fuzzy controllers are a powerful tool for controlling complex processes. However, its robustness capacity remains moderately limited because it loses its property for large ranges of parametric variations. In this paper, the proposed control method is designed, based on a fuzzy adaptive controller used as a remedy for this problem. For increase the robustness of the vector control and to maintain the performance of the five-phase asynchronous machine despite the presence of disturbances (variation of rotor resistance, rotor inertia variations, sudden variations in the load etc.), by applying the method of behaviour model control (BMC). The results of simulation show that the fuzzy adaptive control provides best performance and has a more robustness as the fuzzy (FLC) and as a conventional (PI) controller.
KW  - Five-phase
KW  - Asynchronous machine
KW  - Vector control
KW  - Fuzzy adaptive control
KW  - Behaviour model control (BMC)
CR  - Bessaad, T., Taleb, R., & Bachir, G. (2016) Fuzzy Speed Controller design of multi-machines system, Rev. Roum. Sci. Techn.–Électrotechn. et  Énerg, 61(1), Bucarest.
CR  - Bounadja, M., Mellakhi, A., & Belmadani, B. (2007). A high performance PWM inverter voltage-fed induction machines drive with an alterative strategy for speed control. Serbian Journal of Electrical Engineering, 4(1), 13-22.
CR  - Fang, Y., Fei, J., & Hu, T. (2018). Adaptive backstepping fuzzy sliding mode vibration control of flexible structure. Journal of Low Frequency Noise. Vibration and Active Control, 37(4), 1079-2096.
CR  - Fei, J., & Lu, C. (2018). Adaptive fractional order sliding mode controller with neural estimator. Journal of the Franklin Institute, 355(5), 2369-2391.
UR  - https://doi.org/10.55549/epstem.1409407
L1  - https://dergipark.org.tr/en/download/article-file/3618356
ER  -