Model Predictive Torque Ripple Reduction with Weighting Factor Optimization Fed by an Indirect Matrix Converter

Uddin, Muslem; Mekhilef, Saad; Mubin, Marizan; Rivera, Marco; Rodríguez, José

doi:10.1080/15325008.2014.913739

Cited by 39 publications

(22 citation statements)

References 20 publications

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“…Research Article select the appropriate weighting factors in the cost-function [13,14,24,25]. Few methods were presented in literature to select the optimal weighting factors for better performance of the system [9,[26][27][28][29][30]. A new weighting factor was introduced for stator flux term in the cost-function of PTC in [9].…”

Section: Iet Electric Power Applicationsmentioning

confidence: 99%

Enhanced weighting factor selection for predictive torque control of induction motor drive based on VIKOR method

Muddineni

Bonala

Sandepudi

2016

IET Electric Power Applications

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Predictive torque control (PTC) is one of the widely used modern control techniques for induction motor drives due to its merits such as; implementation is straightforward and direct inclusion of control parameters into the costfunction is possible. However, the main drawback of this technique is the selection of appropriate weighting factor in the cost-function. In this study an attempt is made to simplify the weighting factor selection by using VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) method and the cost function of PTC is modified accordingly. Usage of VIKOR method in the cost-function optimisation introduces the compromise ranking to select an optimal control action. Both simulation and experimental results are carried out for a two-level voltage source inverter fed induction motor drive with the proposed control technique and the results are compared with conventional PTC technique. These results confirm that proposed method retains the dynamic response achieved by the conventional PTC along with reduced torque ripple and switching frequency.

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Section: Iet Electric Power Applicationsmentioning

confidence: 99%

Enhanced weighting factor selection for predictive torque control of induction motor drive based on VIKOR method

Muddineni

Bonala

Sandepudi

2016

IET Electric Power Applications

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“…Moreover, this MPC algorithm is very easy to configure with constraints and non-linearity [14][15][16][17]. The fast and powerful microprocessors are available today to implement the MPC very easily as it requires higher number of calculations compared with all the classical controls [18,19].…”

Section: Introductionmentioning

confidence: 99%

An improved active-front-end rectifier using model predictive control

Parvez

Mekhilef

Tan

et al. 2015

2015 IEEE Applied Power Electronics Conference and Exposition (APEC)

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This paper investigates an improved active-front-end (AFE) rectifier using model predictive control. The model predictive control (MPC) algorithm utilizes the discrete behavior of the power converter to determine the appropriate switching states by defining a cost function. The performance of the AFE rectifier has been verified with 3.0 kW experimental setup which shows that the efficiency of the MPC controlled AFE-rectifier is 96.82% and is operated with acceptable THD (4.0%) of input current and very low DC voltage ripple. An efficiency comparison is performed between the MPC and VOCbased PWM controller of the AFE rectifier which ensures the effectiveness of MPC controller. Moreover, the stability of the MPC method has been analyzed with the root locus, discrete zdomain frequency response techniques (Nyquist diagram) and non-linear experimental system. The result confirms that, the control system of AFE rectifier is stable as it operates with infinite gain margin and very fast dynamic response.Keywords-Model predictive control (MPC); active front end (AFE) rectifier; stability analysis; AC-DC power conversion.

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“…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].…”

Section: Introductionmentioning

confidence: 99%

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

Uddin¹,

Mekhilef²,

Rivera³

et al. 2015

Journal of Electrical Engineering and Technology

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-This paper proposes a weighting factor optimization method in predictive control algorithm for torque ripple reduction in an induction motor fed by an indirect matrix converter (IMC). In this paper, the torque ripple behavior is analyzed to validate the proposed weighting factor optimization method in the predictive control platform and shows the effectiveness of the system. Therefore, an optimization method is adopted here to calculate the optimum weighting factor corresponds to minimum torque ripple and is compared with the results of conventional weighting factor based predictive control algorithm. The predictive control algorithm selects the optimum switching state that minimizes a cost function based on optimized weighting factor to actuate the indirect matrix converter. The conventional and introduced weighting factor optimization method in predictive control algorithm are validated through simulations and experimental validation in DS1104 R&D controller platform and show the potential control, tracking of variables with their respective references and consequently reduces the torque ripple.

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Model Predictive Torque Ripple Reduction with Weighting Factor Optimization Fed by an Indirect Matrix Converter

Cited by 39 publications

References 20 publications

Enhanced weighting factor selection for predictive torque control of induction motor drive based on VIKOR method

Enhanced weighting factor selection for predictive torque control of induction motor drive based on VIKOR method

An improved active-front-end rectifier using model predictive control

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

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