A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems

Cheng-Kai Lin,Jyun-Ting Wang,Jen-Te Yu,Hao-Qun Huang,Yen-Shin Lai,Hsing-Cheng Yu

doi:10.3390/en11071743

Abstract

For current control in power conversion and motor drive systems, there exist three classic methods in the literature and they are the hysteresis current control (HCC), the sine pulse-width modulation (SPWM), and the space vector pulse width modulation (SVPWM). HCC is easy to implement, but has relatively large current harmonic distortion as the disadvantage. On the other hand, the SPWM and SVPWM use modulation technique, commonly together with at least one proportional-integral (PI) regulator to reduce load current ripples, and hence demanding more computation time. This paper aims to improve the performance of a recently proposed new current control method—the single-voltage-vector model predictive current control (SVV-MPCC), for synchronous reluctance motor (SynRMs) drives. To that end, a dual-voltage-vector model-free predictive current control (DVV-MFPCC) for SynRMs is proposed. Unlike the SVV-MPCC that applies only a single voltage vector per sampling period, the proposed DVV-MFPCC is capable of providing two successive segmentary current predictions in the next sampling period through all possible combinations from any two candidate switching states increasing the number of applicable switching modes from seven to nineteen and reducing the prediction error effectively. Moreover, the new control does not utilize any parameters of the SynRM nor its mathematical model. The performance is effectively enhanced compared to that of SVV-MPCC. The working principle of the DVV-MFPCC will be detailed in this paper. Finally, the SVV-MPCC, the single-voltage-vector model-free predictive current control (SVV-MFPCC), the dual-voltage-vector model predictive current control (DVV-MPCC), and the DVV-MFPCC are realized to control the stator currents of SynRM through a 32-bit microcontroller TMS320F28377S. Experimental results are provided to validate the new method and verify that the DVV-MFPCC performs better than do the SVV-MPCC, the SVV-MFPCC, and the DVV-MPCC.

Highlights

With an appropriate device [1], fuel energy can be converted into mechanical/kinetic energy
In order to achieve high performance so as to save energy/power under different operation conditions, many current control methods have been developed in the past, such as hysteresis current control [2], pulse width modulation (PWM) [3], space vector PWM (SVPWM) [4], and model predictive current control (MPCC) [5,6]
An experiment is conducted through a digital signal processor (DSP) TMS320F28377S where the sampling period is set as Ts = 100 μs

Summary

Introduction

With an appropriate device [1], fuel energy can be converted into mechanical/kinetic energy. A lot of research results in predictive current controllers have been reported and applied to motor drive systems and other applications. Nauyen and Kim [8] proposed a modulated finite control set-model predictive control scheme for a grid-connected inverter under distorted grid conditions. Yang et al [9] proposed a predictive power control strategy for doubly fed induction generators (DFIGs) based on a wind energy converter system. Jin et al [10] presented a model predictive direct power control for nonredundant fault tolerant grid-connected bidirectional voltage source converter (BVSC). Guzmán et al proposed a finite control set model predictive control for a three-phase shunt active power filter with a Kalman filter-based estimation [11]

Objectives

Results

Conclusion