Journal of Electrical & Electronic Systems

Department of Electrical and Electronics Engineering, Nalanda College of Engineering, Patna, India

Publications

• Research Article   
  GNN-Based Voltage Source Converter Controlled Synchronous Reluctance Motor with Reduced Torque Ripple
  Author(s): Tausif Ahmad*, Juhi Chaudhary* and Chandra Bhushan Mahto3
  
  This paper introduces a Generalized Neural Network (GNN) based voltage control strategy for a Voltage Source Converter (VSC) fed Synchronous Reluctance Motor (SyRM) drive system with reduced torque ripples. The aim is to provide an economical, concise, and reliable control method for VSC-controlled SyRM applications. The algorithm utilizes a Generalized Neuron (GN) model created with fuzzy compensatory operators to handle the dynamic capabilities of the drive, thus improving training time. Furthermore, the neuron is decomposed in the synchronous reference frame currents to generate a more accurate set of reference inputs for the active currents component for converter switching. Additionally, the approach avoids conventional pulse-width modulation, resulting in less computational burden on the control. This enables the regulation of converter voltage within a specified time frame to m.. Read More»
  

  Abstract PDF