Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In recent days ,Switched Reluctance Motor(SRM) is widely used for numerous industrial applications due to its simple structure, minimum cost and maximum efficiency. Due to double saliency structure of SRM, torque ripple is high, which causes vibration and noise. In this paper, an improved model predictive direct torque control (MPDTC) based on an adaptive fuzzy logic controller and PI is introduced to reduce torque ripples in SRM. The direct torque control using MPC is proposed to maintain the motor torque and motor speed to tracking desired signals with a satisfactory response Combination of Model Predictive control and FLC will give better speed response and reduction in torque ripples. The simulation tests were performed using a non-linear model of 8/6 - 75 kW SRM that is fed with the asymmetrical converter. The effectiveness of the proposed method is tested via simulations performed by MATLAB/Simulink software. The obtained outcomes show the effectiveness of the suggested approach compared to conventional direct torque control techniques.
Keywords:
Torque Ripple reduction, SRM, Torque control
Cite Article:
"TORQUE RIPPLE REDUCTION IN SRM USING AN ADAPTIVE FUZZY PI CONTROL IN MODEL PREDICTIVE DTC", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.937 - 943, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207143.pdf
Downloads:
000204863
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator