Robust Adaptive Neural Network Tracking Control With Optimized Super-Twisting Sliding-Mode Technique for Induction Motor Drive System Article

El-Sousy, Fayez FM, Amin, Mahmoud M, Mohammed, Osama A. (2022). Robust Adaptive Neural Network Tracking Control With Optimized Super-Twisting Sliding-Mode Technique for Induction Motor Drive System . IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 58(3), 4134-4157. 10.1109/TIA.2022.3160136

International Collaboration

keywords

  • Adaptation models
  • Adaptive control
  • Adaptive systems
  • Artificial neural networks
  • CONTROL DESIGN
  • EFFICIENT
  • Engineering
  • Engineering, Electrical & Electronic
  • Engineering, Multidisciplinary
  • IMPLEMENTATION
  • Load modeling
  • NONLINEAR DISTURBANCE OBSERVER
  • PARAMETER-IDENTIFICATION
  • PERFORMANCE
  • Robustness
  • SEQUENTIAL LEARNING ALGORITHM
  • STRATEGY
  • Science & Technology
  • TORQUE CONTROL
  • Technology
  • Torque
  • Uncertainty
  • VOLTAGE
  • adaptive particle swarm optimization (APSO)
  • induction motor (IM)
  • radial basis function network (RBFN)
  • super-twisting sliding-mode control (STSMC)
  • system model-based disturbance estimator (SMDE)

Digital Object Identifier (DOI)

publisher

  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

start page

  • 4134

end page

  • 4157

volume

  • 58

issue

  • 3