Deadbeat Performance of Vector-Controlled Induction Motor Drives Using Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference Systems

Citation:
Bayoumi, E. H. E., M. Awadallah, and H. Soliman, "Deadbeat Performance of Vector-Controlled Induction Motor Drives Using Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference Systems", Electromotion Scientific Journal, vol. 18, issue 4, pp. 231 - 242, 2011.

Abstract:

The paper presents a design technique for adaptive PI current and speed controllers maintaining deadbeat response in vector-controlled induction motor drives. The proposed design is based on particle swarm optimization (PSO) and adaptive neuro-fuzzy inference systems (ANFIS).

Notes:

n/a

PreviewAttachmentSize
cu_pdf.pdf966.15 KB
Tourism