Model Predictive Control with constant switching frequency using a Discrete Space Vector Modulation with virtual state vectors

Vázquez, Sergio; Leon, Jose I.; Franquelo, Leopoldo G.; Carrasco, J.M.; Martínez, Óscar Iván Higuera; Rodríguez, José; Cortés, Patricio; Kouro, Samir

doi:10.1109/icit.2009.4939728

Cited by 153 publications

(54 citation statements)

References 22 publications

(19 reference statements)

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“…Nowadays the other strategy which is widely common in power electronics field thanks to development of microcontrollers and power electronic switching devices is non-linear controllers including adaptive control, repetitive control, fuzzy control and Model Predictive Control (MPC) [22][23][24]. In [25,26] based on MPC mitigate CMV in three-phase PWM inverters but as they just use 6 active vectors the THD cannot be as low as the proposed method in [27] which applies some extra virtual vectors without any CMV concerning. In this paper an eclectic approach for alleviating CMV with a generally satisfactory performance by using the concept of RCMV-PWM and Model Predictive Current Control has been proposed which provides drives with lower level of CMV in comparison with current predictive control algorithm without considering CMV reduction, along with better THD than previously introduced methods [25,2].…”

Section: Introductionmentioning

confidence: 89%

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A new model predictive current controller with common mode voltage alleviation in three-phase inverters

Safari

Khoshooei

Moghani

2014

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)

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Pulse width modulation controlled inverters produce Common-Mode Voltage (CMV), which is the main culprit of many system drawbacks ranging from Electromagnetic Interference (EMI) issues to bearing damage and insulation aging. Former methods for commonmode voltage reduction based on voltage control cause a great deal of extra harmonic distortion in output currents. In this paper, a method named as Near State based Model Predictive Control (NS-MPC) is proposed which by using Model Predictive Control (MPC) algorithm operating in a low sampling frequency and applying the real non-zero state vectors of the converter used together with new virtual state vectors produced by Near State PWM (NSPWM) generates the switching pattern in each sampling cycle. Theory and simulations show that this proposed method exhibits superior common mode voltage reduction along with a generally satisfactory performance. Keywords-Model Predictive Control (MPC); inverter; adjustable speed drives; Common Mode Voltage (CMV); Reduced CMV PWM; Near State PWM (NSPWM)

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Section: Introductionmentioning

confidence: 89%

“…2 possible output states will increase and the minimization can be done much more effectively. In fact by producing a few virtual states caused by real vectors this is achievable [27] (Fig. 3).…”

Section: Real and Virtaul Voltage Vectorsmentioning

confidence: 96%

A new model predictive current controller with common mode voltage alleviation in three-phase inverters

Safari

Khoshooei

Moghani

2014

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)

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“…The traditional model predictive control strategy used discrete mathematics model to calculate current predictive value under the different states of the switch and make the switch condition selected through cost function when the current predictive value and the command current value is closest [10,11]. Therefore, a key part of the model predictive control strategy is to establish discrete mathematics model of the system and evaluate the switch state control behavior by the cost function.…”

Section: Traditional Current Model Predictive Control Of Three-level mentioning

confidence: 99%

Model Predictive Optimization Control Strategy for Three-level AFE Converter

2016

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IntroductionWith the advantages of low voltage harmonic, high power factor and bidirectional energy flow, multi-level active front end (AFE) converter has been widely used in active power filter, reactive power compensation, and new energy grid generation and so on [1]. The control targets of the multi-level converter are not only to adjust the current of the AC side rapidly, suppress the harmonics, and adjust power factor, but also the problems of neutral point potential fluctuation and power device loss should be considered. For above purposes, domestic and foreign scholars have conducted in-depth research on its control strategy, which mainly include voltage oriented control (VOC) and direct power control (DPC) [2]. However, due to the time-variability and nonlinearity, it is difficult to achieve the best control effect. In recent years, with the rapid development of digital processors, some complex and new control strategies, such as adaptive control, sliding mode control, fuzzy control, predictive control etc, are well implemented [7,8].For easy to understand, flexible control, good dynamic performance and strong robustness，finite control set model predictive control (FCS-MPC) has been widely used in power electronics and power transmission applications, and also it can be easily and effectively integrated into a variety of constraints which can achieve multi-objectives optimization control [3]. Different from the traditional linear control strategy, FCS-MPC algorithm is based on accurate mathematical model of object system to predict the future state. At the same time, with taking into multi-control objectives, the optimal switching state can be determined by the cost function for global rolling optimization. However, numerous switching vectors, time-cost computation and complex cost functions which limit the application of FCS-MPC. In [13] a simplified model predictive algorithm is presented which can effectively reduce the operation time and improve the efficiency. But part of the control performance is affected. In [9] a satisfactory predictive control strategy is used to realize the multiple target satisfaction control among the NPC three-evel rectifier, neutral point potential balance, current tracking and low switching frequency operation through fuzzy decision. In [12] multiple virtual voltage vectors are constructed that borrowed from discrete voltage space vector modulation (DSVM) idea. Although the effect of tracking control is improved obviously, but the number of MPC rolling optimization is increased, which has brought a very serious challenge to the actual digital system implementation [4][5][6].

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“…In power electronic converters, with high power ratings, losses due to switching often becomes the limiting factor. Various FS-MPC methods have been presented [1]- [5] to minimize the switching frequency while attempting to track the reference as close as possible. However, a lower switching frequency comes at a cost which typically result in a larger ripple current and voltage and consequently a higher THD.…”

Section: Introductionmentioning

confidence: 99%

Model predictive control with a fixed switching frequency for a 5-level flying capacitor converter

Tomlinson

Mouton

Kennel

et al. 2013

2013 IEEE ECCE Asia Downunder

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This paper presents a novel finite-set model pre dictive control technique with a fixed switching frequency for a 5-level FCC converter. Standard implementations of finite-set model predictive control (FS-MPC) are typically characterised by a variable switching frequency, a high noise floor and a large voltage and current ripple. A method is proposed by selecting a fixed switching period and dividing it into smaller evaluation steps. The switching behaviour is obtained by using the analogy of PWM with triangular carriers to define regions during which only specific switching transitions are allowed. To account for the repetitive nature of the desired switching waveform, an average receding horizon prediction method is used. An anticipated prediction is made by calculating the average value for one switching period ahead, according to the position and state in the current switching period. The control method was practically implemented and evaluated, proved to be feasible and provided satisfactory results.

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Model Predictive Control with constant switching frequency using a Discrete Space Vector Modulation with virtual state vectors

Cited by 153 publications

References 22 publications

A new model predictive current controller with common mode voltage alleviation in three-phase inverters

A new model predictive current controller with common mode voltage alleviation in three-phase inverters

Model Predictive Optimization Control Strategy for Three-level AFE Converter

Model predictive control with a fixed switching frequency for a 5-level flying capacitor converter

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