Nonlinear Compensation Empyoing Matrix Converter with DTC Controller

Robust Controller Synthesisvia Nonlinear Matrix

Adaptive Neuro Fuzzy Inference System Based DTC Control for Matrix Converter

In this study an Adaptive Neuro Fuzzy Inference System is introduced to select the switching states of Matrix Converters. Matrix converters have received more attention in research and industrial application due its advantages like four quadrant operation, sinusoidal input and output waveforms, controllable displacement factor, less number of switches etc., Matrix Converters are efficient in sp...

Disturbance Observer-Based Simple Nonlinearity Compensation for Matrix Converter Drives

This paper presents a new method to compensate the nonlinearity for matrix converter drives using disturbance observer. The nonlinearity of matrix converter drives such as commutation delay, turn-on and turn-off time of switching device, and on-state switching device voltage drop is modeled by disturbance observer and compensated. The proposed method does not need any additional hardware and of...

Nonlinear Controller Design of Reducing Converter and Minor Changes to Load

In this paper, some Contents are presented to simulate the nonlinear converter of the Buck converter. In general, the Buck converter and studies done on it and a control method to obtain the average output voltage for equality with an optimum level, Provided control method includes a series of advantages and disadvantages. To improve disadvantages And also a better result on the output The line...

Matrix Converter Using Direct Svm Method with Input Power Factor Compensation

The matrix converter (MC) for motor drive applications and energy conversion systems is steadily increasing due to its main advantage of performing a direct coupling between two three-phase alternating current sources without the need of an intermediate direct current bus. The input filters characteristics design for matrix converter system: to reduce the high harmonic components at the main po...