Guidelines for weighting factors design in Model Predictive Control of power converters and drives

Cortés, Patricio; Kouro, Samir; Rocca, Bruno La; Vargas, R.; Rodríguez, José; Leon, Jose I.; Vázquez, Sergio; Franquelo, Leopoldo G.

doi:10.1109/icit.2009.4939742

Cited by 585 publications

(284 citation statements)

References 29 publications

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“…In this case, it can be affirmed that a systematic way to design the cost function with the best weighting factors tuning is still missing. However, some works have introduced a first approach to solve the problem, facilitating the electrical engineers' design work [47].…”

Section: Past Present and Future Challenges Of Mpc For Power Convermentioning

confidence: 99%

Model Predictive Control: A Review of Its Applications in Power Electronics

Vázquez

Leon

Franquelo

et al. 2014

EEE Ind. Electron. Mag.

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975

374

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Section: Past Present and Future Challenges Of Mpc For Power Convermentioning

confidence: 99%

Model Predictive Control: A Review of Its Applications in Power Electronics

Vázquez

Leon

Franquelo

et al. 2014

EEE Ind. Electron. Mag.

Self Cite

975

374

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“…The next step is to set the reference values for capacitor voltage and inductor current. According to the required output power, the reference inductor current is calculated as in (14). For the capacitor voltage, it should be at least two times higher than the peak phase voltage [2].…”

Section: ) Inductor Current Observer and Capacitor Voltagementioning

confidence: 99%

“…To date, there is no mathematical rule for specifying the value of the weighting factors. However, some guidelines were presented to reduce the uncertainty of the adjusting process in [14].…”

Section: Introductionmentioning

confidence: 99%

Modified Finite Control Set-Model Predictive Controller (MFCS-MPC) for quasi Z-Source Inverters based on a Current Observer

Bakeer¹,

Ismeil²,

Orabi³

2017

Journal of Power Electronics

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The Finite Control Set-Model Predictive Controller (FCS-MPC) for quasi Z-Source Inverters (qZSIs) is designed to reduce the number of sensors by proposing a current observer for the inductor current. Unlike the traditional FCS-MPC algorithm, the proposed model removes the inductor current sensor and observes the inductor current value based on the deposited prior optimized state as well as the capacitor voltage during this state. The proposed observer has been validated versus a typical MPC. Then, a comparative study between the proposed Modified Finite Control Set-Model Predictive Controller (MFCS-MPC) and a linear PID controller is provided under the same operating conditions. This study demonstrates that the dynamic response of the control objectives by MFCS-MPC is faster than that of the PID. On the other hand, the PID controller has a lower Total Harmonic Distortion (THD) when compared to the MFCS-MPC at the same average switching. Experimental results validate both methods using a DSP F28335.

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“…There is no analytical or numerical solution proposed yet to obtain an optimal solution to the problem for FSC-MPC. In [71], some guidelines are presented to help the weighting factor design process.…”

Section: Iii5d Model Predictive Controlmentioning

confidence: 99%

High-Performance Motor Drives

Kaźmierkowski

Franquelo

Rodríguez³

et al. 2011

EEE Ind. Electron. Mag.

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190

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Abstract--Power electronic converter-fed high performance AC drives belong to high-tech industry and are one of main factors for energy saving and productivity growth. This paper reviews present state and trends in development of key parts of controlled induction motor drive systems: converter topologies, modulation methods, as well as control and estimation techniques. Following topologies are described: Two-and Multi-level Voltage Source Converters, Current Source Converters and Direct Converters. Among the modulation techniques are briefly presented: conventional bipolar and unipolar PWM, space vector modulation (SVM) with extension for multilevel converters, harmonic control techniques, variable frequency modulation (hysteresis, nearest level, and model predictive techniques). About the control strategies, the generic torque control methods are described in two groups: linear and nonlinear controllers. In linear group are presented field oriented control (FOC), direct torque control (DTC) with voltage SVM, and DTC with flux vector modulation (DTC-FVM). The group of nonlinear control include: classical switching table based hysteresis DTC, direct self control (DSC) and predictive DTC scheme. Also, selected simple flux vector observers/estimators are discussed.

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Guidelines for weighting factors design in Model Predictive Control of power converters and drives

Cited by 585 publications

References 29 publications

Model Predictive Control: A Review of Its Applications in Power Electronics

Model Predictive Control: A Review of Its Applications in Power Electronics

Modified Finite Control Set-Model Predictive Controller (MFCS-MPC) for quasi Z-Source Inverters based on a Current Observer

High-Performance Motor Drives

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