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A Six-Phase CRIM Driving CVT using Blend Modified Recurrent Gegenbauer OPNN Control
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  • Journal title : Journal of Power Electronics
  • Volume 16, Issue 4,  2016, pp.1438-1454
  • Publisher : The Korean Institute of Power Electronics
  • DOI : 10.6113/JPE.2016.16.4.1438
 Title & Authors
A Six-Phase CRIM Driving CVT using Blend Modified Recurrent Gegenbauer OPNN Control
Lin, Chih-Hong;
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 Abstract
Because the nonlinear and time-varying characteristics of continuously variable transmission (CVT) systems driven by means of a six-phase copper rotor induction motor (CRIM) are unconscious, the control performance obtained for classical linear controllers is disappointing, when compared to more complex, nonlinear control methods. A blend modified recurrent Gegenbauer orthogonal polynomial neural network (OPNN) control system which has the online learning capability to come back to a nonlinear time-varying system, was complied to overcome difficulty in the design of a linear controller for six-phase CRIM driving CVT systems with lumped nonlinear load disturbances. The blend modified recurrent Gegenbauer OPNN control system can carry out examiner control, modified recurrent Gegenbauer OPNN control, and reimbursed control. Additionally, the adaptation law of the online parameters in the modified recurrent Gegenbauer OPNN is established on the Lyapunov stability theorem. The use of an amended artificial bee colony (ABC) optimization technique brought about two optimal learning rates for the parameters, which helped reform convergence. Finally, a comparison of the experimental results of the present study with those of previous studies demonstrates the high control performance of the proposed control scheme.
 Keywords
Artificial bee colony optimization;Lyapunov stability theorem;Modified recurrent Gegenbauer orthogonal polynomial neural network;Six-phase copper rotor induction motor;
 Language
English
 Cited by
 References
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