Artificial Intelligence-based control for torque ripple minimization in switched reluctance motor drives - doi: 10.4025/actascitechnol.v36i1.18097 | Zendy

Kalaivani Lakshmanan | Zendy; Subburaj Perumal | Zendy; Willjuice Iruthayarajan Mariasiluvairaj | Zendy

Open Access

<b>Artificial Intelligence-based control for torque ripple minimization in switched reluctance motor drives</b> - doi: 10.4025/actascitechnol.v36i1.18097

Author(s) -

Kalaivani Lakshmanan,

Subburaj Perumal,

Willjuice Iruthayarajan Mariasiluvairaj

Publication year - 2013

Publication title -

acta scientiarum. technology/acta scientiarum. technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.183

H-Index - 17

eISSN - 1807-8664

pISSN - 1806-2563

DOI - 10.4025/18097

Subject(s) - control theory (sociology) , switched reluctance motor , adaptive neuro fuzzy inference system , torque ripple , torque , settling time , controller (irrigation) , computer science , direct torque control , pid controller , fuzzy logic , control engineering , fuzzy control system , engineering , artificial intelligence , step response , control (management) , induction motor , physics , voltage , temperature control , agronomy , biology , electrical engineering , thermodynamics

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