Abstract

This paper presents a fractional-order sliding mode control scheme based on an RBF neural network (RBFFOSMC) for a direct three matrix converter (DTMC) operating under unbalanced grid voltages. The RBF neural network (RBF NN) is designed to approximate a nonlinear fractional-order sliding mode controller. The proposed method aims to achieve constant active power whilst maintaining a near unity input power factor. First, an opportune reference current is accurately generated according to the reference power and the RBFFOSMC is designed in a dq reference frame to achieve a perfect tracking of the input current reference. An almost constant active power, free of low-frequency ripples, is then supplied from the grid after compensating for the output voltage. Simulation and experimental studies prove the feasibility and effectiveness of the proposed control method.

Highlights

  • A matrix converter (MC) is a novel form of “full control” AC-AC converter that offers a variety of benefits, including a bidirectional energy flow, four-quadrant operation, sinusoidal input/output, low harmonic distortion, and an adjustable power factor [1]

  • Raju et al presented a direct three-level matrix converter (DTMC) topology with a reduced total harmonic distortion (THD) and switching stress compared with a conventional MC design

  • The input of the DTMC was composed of the voltage port, input filter, and damping resistor; the output usually connected to inductive load was a current port

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Summary

Introduction

A matrix converter (MC) is a novel form of “full control” AC-AC converter that offers a variety of benefits, including a bidirectional energy flow, four-quadrant operation, sinusoidal input/output, low harmonic distortion, and an adjustable power factor [1]. In [8], a unit power factor quasi-PR control of a two-stage matrix converter based on reconstructed vectors was proposed This method has the advantage of being of low complexity and easy to implement, but the system was subject to large parameter interference and the response time was not fast enough. The source current was not directly regulated and was of poor quality Another control approach is model predictive control [14–17], which has been used in inverters and matrix converters for power supply applications. The proposed controller is intended to accomplish two primary objectives: (1) the converter should provide balanced output voltages and the grid must deliver practical low-frequency ripple active power (constant active power); and (2) the controller should have a good dynamic and steady-state performance.

Topology of the DTMC
DTMC Modulation Algorithm
Instantaneous Power of the DTMC
Output Voltage Compensation
Mathematical Models of the DTMC
Fractional-Order SMC
Simulation
Imbalance Analysis
Imbalance
Output Compensation Analysis
Fundamental waveforms of voltage: output voltage: mv m mv v
As reachedstability
Experiment
Findings
Conclusions

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