an adaptive control method based on interval fuzzy sliding mode for direct matrix converters

In this paper, a new adaptive control method is proposed for direct matrix converters. the proposed method uses interval type-2 fuzzy logic integrated with sliding mode control. employing the sliding mode control in matrix converters leads to an efficient choice of switching combinations and a reliable reference tracking. the main problem of the sliding mode control is the chattering phenomenon that degrades the controller performance through injecting high-frequency variations in the controller variables. the proposed method incorporates the interval type-2 fuzzy with the sliding mode control to mitigate the chattering problem. the sliding mode switch surface can be adjusted adaptively according to the system state and the proposed fuzzy compensation based on the lyapunov stability theorem, so that the control system has the characteristics of low chattering effect and appropriate operation quality. comprehensive evaluations of the waveforms are conducted for the new matrix converter through various simulations. simulation results verify the effectiveness of the proposed adaptive control method for matrix converter in various conditions, and its superiority in chattering suppression in comparison to the conventional sliding mode control and the boundary layer method.