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

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 twolevel 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.

Finite control set and modulated model predictive flux and current control for induction motor drives

“…In order to assign equal weight to the two dimensionally different state variables, the per-unit values are used as a rather simplistic way of dealing with a complex problem. For torque and flux predictive control found in the literature, the tuning of weights assigned to each variable is still a matter of research and no empirical tuning method exists to date [10,18,25]. The tuning of weights for flux and current state variables used here may also be treated in depth in a future work.…”

Enhanced Predictive Current Control of Three-Phase Grid-Tied Reversible Converters with Improved Switching Patterns

“…By contrast, another approach called finite set model predictive control regards these discrete switching actions as the constraints of the system inputs [15,16]. During the optimizing process, the control actions are constrained to the limited available switching states, instead of continuous sets [17][18][19]. Until recently, finite set model predictive control with one-step prediction horizons has been applied to various converter topologies and also with a wide range of control objectives, including speed control, current control, power control, torque and flux control [20][21][22][23][24].…”

“…Based on cost function comparisons, the optimal voltage vectors and their time sequences are finally determined. Even though a corresponding simplified scheme was further proposed, the cost function still needs to be calculated six times within each sampling period [19]. In [30], the calculated values of the predicted application time are firstly examined.…”

Imposed Weighting Factor Optimization Method for Torque Ripple Reduction of IM Fed by Indirect Matrix Converter with Predictive Control Algorithm

“…So, this weighting factor should be optimized to get optimized best performances of the system. In recent past, an optimization method of weighting factor calculation to ensure the optimized actuations to the three phase voltage source inverter (VSI) and IMC for controlling torque-flux of the induction motor have been introduced in [32,33] and [34], respectively and better performance has been achieved comparative to conventional weighting factor adjustment followed by iterative evaluation method. Recently, a novel predictive two-level inverter fed induction motor control strategy with weighting factor look up table and divide control interval have been investigated in [35].…”