Model-Based Predictive Rotor Current Control for Grid Synchronization of a DFIG Driven by an Indirect Matrix Converter

Abstract

A novel predictive rotor current control scheme for a doubly fed induction generator (DFIG) is implemented to perform the DFIG grid synchronization with a fast dynamic response. With this control strategy applied to an experimental setup, the rotor currents swiftly follow the necessary reference for grid synchronization in the range of ±30% of the generator rated shaft speed. The DFIG and converter discrete models are used to predict the behavior of the rotor currents. By minimizing the error between the references and the predictive rotor currents for each of the valid states of the converter, the best-suited switching state is selected and applied at the next sampling time. In order to validate the feasibility of implementing this approach, simulations and experiments were carried out for various shaft speed profiles.

A review of predictive control techniques for matrix converter applications

“…As reported in [15]- [24] this strategy executes well with a very good performance during both steady-state and transient conditions showing to be a very respectable alternative to the classical control schemes. Similar techniques can be applied with cost functions representing other system variables and constraints as well as weighted combinations of system variables.…”

“…for Matrix Converters Scalar Techniques [5], [6] Pulse Width Modulation [7]- [10] Direct Torque Control [11], [12] Direct Power Control [13], [14] Model Predictive Control [15]- [38] Other Methods Direct Transfer Function [5] Scalar (Roy) [6] Carrier Based PWM [7], [8] Space Vector Modulation [9], [10] Predictive Current Control [15]- [24] Predictive Torque Control [25]- [29] Predictive Power Control [30]- [33] Predictive Voltage Control [34]- [36] Unity Transfer [37], [38] [40], [41] Fig. 2.…”

“…The most important advantages of these topology variations are the increment of output voltage control range and reduction of switching frequency harmonics, losses and common-mode voltage. It is of course possible to apply the principles of MPC to any of the derived MC topologies including indirect MC (IMC) [15], [18], [21], [23], [24]. In [34]- [36], predictive controllers for a single-phase MC application (SPMCs) were proposed.…”

New configurations of power converters for grid interconnection systems

“…Different modulation and control methods for MCs can be found in the literature [34]- [37]. These methods have different implementations and different levels of complexity, but all have dynamic behavior which is acceptable in a variety of applications.…”

“…Other methods that have been applied to MCs in specific applications are fuzzy control, neural networks and genetic algorithms [44]- [46]. Predictive control has shown to be a very interesting alternative for control MCs because the use of the discrete nature of power converters and its simplicity for implementation and intuitive approach [36], [37], [47].…”