Quality analysis of electric energy using an interface developed in LabVIEW environment

Nicola, Claudiu-Ionel; Voicu, Viorica; Popescu, S.; Nitu, Maria Cristina; Iovan, Daniela; Duță, Marian; Benea, Alin; Andreescu, Silviu

doi:10.1109/icate.2016.7754669

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…The PMSM rotor speed and position estimates expressed in relations ( 17) and ( 18) are obtained from the relation (16). where: θ 0 is the initial electrical position of the rotor III.…”

Section: A Genetic Algorithmmentioning

confidence: 99%

“…Besides, a separate task can run online on a client computer to monitor the quality electrical parameters of the controlled PMSM [16].…”

Section: A Genetic Algorithmmentioning

confidence: 99%

“…The main parameter analyzed, but not the only one is the THD. For increased flexibility, according to the trend of the last years, the use of an IoT platform for viewing the variables of the PMSM control process on the Internet plays an important role [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

"Real-Time Sensorless Control of the PMSM based on Genetic Algorithm, Sliding Mode Observer, and SCADA Integration"

Nicola¹,

Nicola²,

Nitu³

et al. 2021

AUCEE

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"This paper presents an application for real-time implementation of the Permanent Magnet Synchronous Motor (PMSM) sensorless control system and its integration into Supervisory Control And Data Acquisition (SCADA). Starting from the operating equations of the PMSM and by implementing the global Field Oriented Control (FOC) control strategy, in which the saturation of the integral component of the PI controller is prevented by using an antiwindup technique, the numerical simulations performed in Matlab/Simulink lead to good performance, which recommends the real-time implementation. For the optimal tuning of the PI speed controller of the PMSM the genetic algorithm (GA) is used. Numerical simulations are performed in order to choose the type of Digital Signal Processing (DSP) used for the real-time implementation, considering that a global criterion of successful implementation is the performance/cost ratio. Besides, the integration into SCADA provides flexibility of the control system but also the possibility of online/offline processing from the point of view of other specific requirements. Among them we mention the energy quality analysis, whose first exponent calculated also in realtime is Total Harmonic Distortion (THD). Real-time implementations are performed in Matlab/Simulink and LabVIEW programming environments. According to the trend of the last years, the use of an Internet of Things (IoT) platform for viewing the variables of the control process on the Internet plays an important role. "

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“…The PMSM rotor speed and position estimates expressed in relations ( 17) and ( 18) are obtained from the relation (16). where: θ 0 is the initial electrical position of the rotor III.…”

Section: A Genetic Algorithmmentioning

confidence: 99%

“…Besides, a separate task can run online on a client computer to monitor the quality electrical parameters of the controlled PMSM [16].…”

Section: A Genetic Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

"Real-Time Sensorless Control of the PMSM based on Genetic Algorithm, Sliding Mode Observer, and SCADA Integration"

Nicola¹,

Nicola²,

Nitu³

et al. 2021

AUCEE

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show abstract

Low-Cost Power Quality System and Automatic Classification Disturbances Using SVM and DWT Analysis

Nicola¹,

Nicola²,

Sacerdotianu³

et al. 2022

2022 International Conference and Exposition on Electrical and Power Engineering (EPE)

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Power Quality Analysis System Based on LabVIEW Real-Time and Reconfigurable FPGA Modules Using Wavelet Transform

Nicola

Popescu

et al. 2018

2018 International Conference on Applied and Theoretical Electricity (ICATE)

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Quality analysis of electric energy using an interface developed in LabVIEW environment

Cited by 6 publications

References 6 publications

"Real-Time Sensorless Control of the PMSM based on Genetic Algorithm, Sliding Mode Observer, and SCADA Integration"

"Real-Time Sensorless Control of the PMSM based on Genetic Algorithm, Sliding Mode Observer, and SCADA Integration"

Low-Cost Power Quality System and Automatic Classification Disturbances Using SVM and DWT Analysis

Power Quality Analysis System Based on LabVIEW Real-Time and Reconfigurable FPGA Modules Using Wavelet Transform

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