Influence of Voltage Sags on the Continuity of the Operation and Lifespan of Single-Phase Industrial Robots

Putynkowski, Grzegorz; Woźny, Krzysztof; Szychta, E.; Szychta, L.

doi:10.3390/coatings11101229

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…However, in a previous study [18], the authors tested the effect of voltage sags on single-phase industrial robots and were able to verify that there are states that lead to receiver damage in an area they called "A" within the "no damage region" shown in Fig- ure 2. Those disturbances damaged the controller.…”

Section: Measurement System and Methodologymentioning

confidence: 99%

Methodology for the Surveillance the Voltage Supply in Public Buildings Using the ITIC Curve and Python Programming

Fernández-Morales¹,

González-de-la-Rosa²,

Sierra-Fernández³

et al. 2022

Data

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This paper proposes an easy-to-implement method for detecting and assessing two of the most frequent PQ (Power Quality) problems: voltage sags and swells. These can affect sensitive equipment such as computers, programmable logic controllers, contactors, etc. Therefore, it is of great interest to implement it in any laboratory, not only for protection reasons but also as a safeguard for claims against the supply company. Thanks to the actual context, in which it is possible to manage big volumes of data, connect multiple devices with IoT (Internet of Things), etc., it is feasible and of great interest to monitor the voltage at specific points of the network. This makes it possible to detect voltage sags and swells and diagnose which points are more prone to this type of problems. For the detection of sags and swells, a program written in Python is in charge of crawling all the files in the database and target those RMS values that fall outside the established limits. Compared to LabVIEW, which might have been the most logical alternative, being the acquisition hardware from the same company (National Instruments), Python has a higher computational performance and is also free of charge, unlike LabVIEW. Thanks to the libraries available in Python, it allows a hardware control close to what is possible using LabVIEW. Implemented in MATLAB, the ITIC (Information Technology Industry Council) power acceptability curve reflects the impact of these power quality disturbances in electrical power systems. The results showed that the combined action of Python and MATLAB performed well on a conventional desktop computer.

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Section: Measurement System and Methodologymentioning

confidence: 99%

Methodology for the Surveillance the Voltage Supply in Public Buildings Using the ITIC Curve and Python Programming

Fernández-Morales¹,

González-de-la-Rosa²,

Sierra-Fernández³

et al. 2022

Data

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show abstract

“…The flux surface is chosen as follows: 𝑆 𝜑𝑖 = 𝜑 𝑖 𝑟𝑒𝑓 − 𝜑 𝑖 and the derivative of the surface is given by: 𝑆 ̇𝜑𝑖 = 𝜑̇𝑖 𝑟𝑒𝑓 − 𝜑̇𝑖. During the sliding mode and in permanent regime, 𝑆 ̇𝜑𝑖 = 0 , 𝑆 𝜑𝑖 = 0 and 𝑖 𝑠𝑑𝑖_𝑛 𝑟𝑒𝑓 = 0, the equivalent control can be given as (9).…”

Section: Rotor Flux Controllermentioning

confidence: 99%

“…Voltage-dips which are responsible for the majority of these  ISSN: 2088-8694 disturbances, are primarily caused by the start-up of large driving loads and power system faults such as lightning. Because these faults can never be eliminated in the electrical system, we must design equipment that can withstand the most common voltage dips [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Management strategy to mitigate voltage sags effects of a multi-motors system using ADALINE algorithm and cascade sliding mode control

Bensaid,

Ba-Razzouk,

El Haroussi

2024

IJPEDS

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Multi-motor systems (MMS) find widespread use in various industrial applications, including plastic, paper, textiles, and steel rolling mills, where synchronized speeds are crucial for optimal operation. However, a significant limitation of these systems is their susceptibility to voltage sags, resulting in speed and synchronization loss, along with peak currents and torques during voltage recovery. This paper presents a comprehensive multi-motors management strategy aimed at attenuating the adverse effects of voltage sags. The proposed technique is based on principles that involve recovering the system’s kinetic energy and leveraging the current reversibility of the converters. The control scheme comprises two main strategies: an adaptive linear neuron or later adaptive linear element (ADALINE)-based voltage sag detection algorithm utilizing least mean square (LMS) adaptation for rapid convergence using artificial neural networks, and a control scheme incorporating sliding mode speed controllers and indirect rotor field-oriented control (IRFOC). Additionally, a logic-based strategy for voltage sag attenuation completes the control framework. The effectiveness and efficiency of the proposed strategy are demonstrated through simulation results obtained using MATLAB/Simulink/SimPowerSystems.

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“…Research by Wagner et al [6], a case study on the monitoring of disturbances related to power quality revealed that 68% of recorded disturbances are voltage sags and that they represent the main cause of production shutdowns and losses. The above problems, as well as the increasing incidence of misdiagnosed faulty conditions in industrial robots (service requests based on incorrect logging of a disturbance source), are presented in a study on the influence of voltage dips on the continuity of operation and the life span of single-phase industrial robots [7]. In fact, as technology has improved and more power electronics devices have been used, the equipment used in industrial systems has become more sensitive to these kinds of things [8].…”

Section: Introductionmentioning

confidence: 99%

A comprehensive overview of the ADALINE method applied to rapid voltage sags detection in multi-motors drive systems

2022

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Several strategies have been developed for identifying power quality issues, monitoring them, and compensating for relevant disturbances. In this field, online estimate of amplitudes and phase angles of network voltages and currents is commonly used. The adaptive linear neuron (ADALINE)-based voltage sag detection algorithm with least mean square (LMS) adaptation allows for rapid convergence of estimate techniques based on artificial neural networks (ANN). This approach has the advantage of being straightforward to implement on hardware and based on simple calculations (essentially multiply and accumulate "MAC"). This paper gives a comparison of the performance of two ADALINE approaches ("with" and "without" error supervision) for detecting and estimating voltage dips. The described techniques and models of a two-coupled motor system were implemented in MATLAB/Simulink/SimPowerSystems to run simulations under various fault scenarios in order to create the three-phase voltage sag alarm signal. The simulation outcomes are presented and debated.

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Influence of Voltage Sags on the Continuity of the Operation and Lifespan of Single-Phase Industrial Robots

Cited by 4 publications

References 19 publications

Methodology for the Surveillance the Voltage Supply in Public Buildings Using the ITIC Curve and Python Programming

Methodology for the Surveillance the Voltage Supply in Public Buildings Using the ITIC Curve and Python Programming

Management strategy to mitigate voltage sags effects of a multi-motors system using ADALINE algorithm and cascade sliding mode control

A comprehensive overview of the ADALINE method applied to rapid voltage sags detection in multi-motors drive systems

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