%0 Journal Article
%T Enhanced dynamic Performance of Matrix Converter Cage Drive with Neuro-fuzzy approach
%A R.R. Joshi
%A R.A. Gupta
%A A.K. Wadhwani
%J Journal of Theoretical and Applied Information Technology
%D 2007
%I Asian Research Publication Network
%X This paper proposes a new control algorithm for a matrix converter (MC) induction motor drive system. First, a new switching strategy, which applies a back-propagation neural network to adjust a pseudo dc bus voltage, is proposed to reduce the current harmonics of the induction motor. Next, a two-degree-of-freedom controller is proposed to improve the system performance. The controller design algorithm can be applied in an adjustable speed control system and a position control system to obtain good transient responses and good load disturbance rejection abilities. The implementation of this kind of controller is only possible by using a high-speed digital signal processor. In this paper, all the control loops, including current-loop, speed-loop, and position-loop, are implemented by TMS320C6711 digital signal processor. Several experimental results are shown to validate the theoretical analysis.
%K Matrix converter
%K Adjustable speed control system
%K controller design algorithm
%K control loops
%K load disturbance rejection
%U http://jatit.org/volumes/research-papers/Vol3No2/3vol3.pdf