A Generalized MPC Framework for the Design and Comparison of VSI Current Controllers

Abstract

Model predictive control (MPC) has been widely advocated as a design strategy for many aspects of industrial electronics. The methodology has been strongly promoted by some researchers but has also attracted criticism from others. In this context, the purpose of this paper is twofold. First, we show that many existing and popular control strategies, including finite set MPC and linear controllers [proportional integral, proportional resonant (PR)], can be viewed as special cases of MPC. Second, we show that the predictive control framework allows one to embellish these classical control architectures with novel features and to design new and advanced control architectures to address various challenges posed by power electronics applications. The findings of the paper are supported by a practical example of designing of a novel form of PR controller with superior tracking performance and delay compensation, confirmed via simulation and experiments. Index Terms-Control design, current control, dcac power converters, model predictive control (MPC), pulsewidth modulation inverters.

Current control with improved tracking and harmonic performance for a voltage source inverter driving a saturated induction motor

“…Theoretical basis for such a design has been developed in [13], [15]. In this paper a new current control architecture is developed which targets and eliminates the tracking errors at fundamental frequency, as well as selected harmonic components resulting from the magnetic saturation.…”

Predictive-Fixed Switching Current Control Strategy Applied to Six-Phase Induction Machine

“…From the point of view of control, the most common control strategy to regulate multiphase IMs is the field-oriented control (FOC), which is constituted by an inner current control loop, to obtain the references voltages, and an outer speed control loop for speed regulation [6]. However, several new control approaches have been carried out for the inner current control loop in multiphase IMs, some of them are: sliding mode control [7], resonant control [8] and model predictive control (MPC) [9]. Although there are other controllers such as the well-known proportional-integral (PI) controllers [10], the preferred choice is the MPC due to the fact that it shows a good transient behavior and facilitates the inclusion of nonlinearities in the system as described in [11,12], and in [13] where a comparative study between MPC and PI-PWM control has been addressed.…”

State space model realization using step response data of MIMO system with input delays for model predictive control

“…Model predictive control (MPC) is an advanced control technique that is widely used in the process industries like oil refining and petrochemicals, food processing, pulp and paper, mining and metallurgy, aerospace, defence and automotive industries (1), (2), (3), as well as non-process industries (4), (5), (6), (7). MPC requires an internal model for its control action.…”