Error-Voltage-Based Open-Switch Fault Diagnosis Strategy for Matrix Converters with Model Predictive Control Method

Huang, Dan; Peng, Tao; Su, Mei; Deng, Hui; Zhu, Qi; Zhao, Ziyi; Wheeler, Patrick

doi:10.1109/tia.2017.2695978

Cited by 21 publications

(4 citation statements)

References 26 publications

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“…Moreover, the MPC scheme can provide additional functionalities such as open‐switch fault diagnosis, which can be an advantage in certain industrial applications. In [95], a fault identification method that includes two stages and is executed without additional voltage sensors is proposed. In the initial stage, detection of the defective leg is done by comparing reference and estimated values of load voltages.…”

Section: Practical and Industrial Applicationsmentioning

confidence: 99%

Review of model predictive control strategies for matrix converters

Khosravi

Amirbande

Khaburi

et al. 2019

IET Power Electronics

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Matrix converters are a well-known class of direct AC-AC power converter topologies that can be used in applications, where compact volume and low weight are necessary. For good performance, special attention should be paid to the control scheme used for these converters. The model predictive control strategy is a promising, straightforward and flexible choice for controlling various different matrix converter topologies. This work provides a comprehensive study and detailed classification of several predictive control methods and techniques, discussing special capabilities they each add to the operation and control scheme for different matrix converter topologies. This study also considers the issues regarding the implementation of model predictive control strategies for matrix converters. This survey and comparison are intended to be a useful guide for solving the related drawbacks of each topology and to enable the application of this control scheme for matrix converters in practical applications.

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Section: Practical and Industrial Applicationsmentioning

confidence: 99%

Review of model predictive control strategies for matrix converters

Khosravi

Amirbande

Khaburi

et al. 2019

IET Power Electronics

Self Cite

View full text Add to dashboard Cite

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“…For the MC with MPC, the direct source current control performs better than the source reactive power control in term of power quality [16]. Therefore, the idea of it has been accepted in the newly developed MPC techniques [12]- [14], [17]- [21]. Yet, the active power balance principle of MC does not allow for independent control of source currents.…”

Section: Introductionmentioning

confidence: 99%

Improved Reference Generation of Active and Reactive Power for Matrix Converter With Model Predictive Control Under Input Disturbances

et al. 2019

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The existing model predictive control schemes for the matrix converter perform well under ideal input conditions, but are not optimal when source voltages are unbalanced and distorted. The analysis shows that, under input disturbances, the input filter capacitors cause active power fluctuation and further output power quality degradation, which has been ignored in literature. Therefore, a method is proposed to extract the fluctuation with a digital filter and compensate it in the reference generation of source active power, so as to eliminate the output low-frequency harmonics. In the case of input voltage unbalance, a method is proposed to generate the reference source reactive power which could achieve sinusoidal source currents, without the need of separating sequence components. Moreover, effects of source voltage distortions, which degrade the input power quality significantly and are ignored in literature, are suppressed with the proposed generation method of reference reactive power. The extensive experimental results in nine cases have verified the satisfactory steady-state and dynamic performance of the proposed methods. INDEX TERMS Model predictive control, matrix converter, source voltage disturbances, current distortions.

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“…As MPC has the capability of multi-objective optimization, features such as motor torque control [14][15][16][17], speed control [18], common-mode voltage elimination [19], and efficiency improvement [20] can be easily included in MPC. Moreover, harmonic reduction [21], input active damping [22,23], over-modulation [24], and fault diagnosis [25,26] can also be obtained based on MPC. The application of existing MPC schemes to the MC is therefore a good idea, yet their implementation is not optimal.…”

Section: Introductionmentioning

confidence: 99%

Reduction of Prediction Errors for the Matrix Converter with an Improved Model Predictive Control

2019

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In this paper, an improved model predictive control (MPC) is proposed for the matrix converter (MC). First, the conventional MPC which adopts the separately discretized prediction models is discussed. It shows that the conventional MPC ignores the input–output interaction in every sampling period. Consequently, additional prediction errors arise, resulting in more current harmonics. Second, the principle of the improved MPC is presented. With the interaction considered, the integral state-space equation of the whole MC system is constructed and discretized to obtain the precise model. The eigenvalue analysis shows that the proposed prediction model has the same eigenvalues with the continuous model, and thus is more accurate than the conventional one to describe the MC’s behavior in every sampling period. Finally, experimental results under various working conditions prove that the proposed approach can always increase the control accuracy and reduce the harmonic distortions, which in turn requires smaller filter components.

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Error-Voltage-Based Open-Switch Fault Diagnosis Strategy for Matrix Converters with Model Predictive Control Method

Cited by 21 publications

References 26 publications

Review of model predictive control strategies for matrix converters

Review of model predictive control strategies for matrix converters

Improved Reference Generation of Active and Reactive Power for Matrix Converter With Model Predictive Control Under Input Disturbances

Reduction of Prediction Errors for the Matrix Converter with an Improved Model Predictive Control

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