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Journal ArticleDOI

An Improved FCS–MPC Algorithm for an Induction Motor With an Imposed Optimized Weighting Factor

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TLDR
In this paper, an improved finite control set-model predictive control (FCS-MPC) with an optimized weighting factor is presented, which is based on dividing the control interval into two parts.
Abstract
In this paper, an improved finite control set-model predictive control (FCS-MPC) with an optimized weighting factor is presented. The main goal of this paper is reducing the torque ripples when the FCS-MPC is implemented by means of the two-level inverter. For this purpose, the weighting factor is calculated via an optimization method. The optimization is based on dividing the control interval into two parts: active time for applying the active voltage vectors and zero time for applying the zero voltage. With this technique, the torque ripple is calculated as a function of weighting factor and it is optimized. The method is validated by simulations and experiments, using two-level inverter, at two speed regions (nominal speed and low speed). The results are compared with conventional FCS-MPC.

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Citations
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Journal ArticleDOI

Model Predictive Control: MPC's Role in the Evolution of Power Electronics

TL;DR: In this article, the authors present a review of the history of power converter control with an emphasis on the more recent introduction of predictive control, and give a glimpse on the challenges and possibilities ahead.
Journal ArticleDOI

Predictive Torque and Flux Control Without Weighting Factors

TL;DR: A predictive torque and flux control of an induction machine drive fed by a three-phase two-level voltage source inverter is developed and the proposed strategy replaces the single cost function with a multiobjective optimization based on a ranking approach.
Journal ArticleDOI

Two-Vector-Based Model Predictive Torque Control Without Weighting Factors for Induction Motor Drives

TL;DR: In this article, the authors proposed an improved model predictive torque control (MPTC) without the use of weighting factor, where the torque and flux magnitude references are converted into an equivalent reference vector of stator flux, hence eliminating the weighting factors of stators flux in conventional MPTC.
Journal ArticleDOI

Guidelines for the Design of Finite Control Set Model Predictive Controllers

TL;DR: This article discusses and analyzes the factors that affect the closed-loop performance of FCS-MPC and design guidelines are provided that help to maximize the system performance.
References
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Journal ArticleDOI

A New Quick-Response and High-Efficiency Control Strategy of an Induction Motor

TL;DR: In this article, the authors proposed a limit cycle control of both flux and torque using optimum PWM output voltage; a switching table is employed for selecting the optimum inverter output voltage vectors so as to attain as fast a torque response, as low an inverter switching frequency, and as low harmonic losses as possible.
Journal ArticleDOI

Model Predictive Control—A Simple and Powerful Method to Control Power Converters

TL;DR: The feasibility and great potential of FCS-MPC due to present-day signal-processing capabilities, particularly for power systems with a reduced number of switching states and more complex operating principles, such as matrix converters are found.
Journal ArticleDOI

Direct torque control of PWM inverter-fed AC motors - a survey

TL;DR: A review of recently used direct torque and flux control techniques for voltage inverter-fed induction and permanent-magnet synchronous motors and trends in the DTC-SVM techniques based on neuro-fuzzy logic controllers are presented.
Journal ArticleDOI

Direct torque control of induction machines using space vector modulation

TL;DR: In this paper, a direct induction machine torque control method based on predictive, deadbeat control of the torque and flux is presented, where the stator voltage required to cause the torque to be equal to their respective reference values is calculated.
Journal ArticleDOI

Model Predictive Direct Torque Control—Part I: Concept, Algorithm, and Analysis

TL;DR: A novel model predictive control scheme is proposed that keeps the motor torque, the stator flux, and (if present) the inverter's neutral point potential within given hysteresis bounds while minimizing the switching frequency of the inverters.
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