Aug 2026· Jurnal Tekno Insentif· Vol 20, pp. 97-113· 0 citations· 17 references
Abstract
Single-phase induction motors experience high inrush current during the starting process, which can degrade power quality and accelerate electrical component deterioration. This research aims to design and evaluate an Arduino Nano–based soft starter system for a single-phase induction motor to limit the starting current. The proposed method employs stepwise series resistance control using relay modules driven by the Arduino Nano, while electrical parameters including voltage, current, and power are monitored in real time using a PZEM-004T sensor. Experimental tests were conducted by comparing the motor starting current before and after the implementation of the soft starter under several operating conditions. The results demonstrate that the proposed system is able to reduce the starting current by 15%–20% compared to direct-on-line operation, with stable and consistent current reduction characteristics. The analysis indicates that the current limitation effectively reduces electrical stress on the motor without adversely affecting the acceleration process. It can be concluded that the developed soft starter system successfully meets the research objectives and is suitable as a simple and cost-effective solution for controlling the starting current of single-phase induction motors.
Induction motor starting often causes voltage fluctuations due to high inrush current, which can impact system stability and power quality. To address this, smart inverters with power control functions and superconducting fault current limiters (SFCLs) have emerged as promising solutions for reducing voltage instability. The power control of smart inverters ensures that the voltage at the point of common connection is maintained at a constant level, adapting to the system’s conditions. In this paper, system voltage characteristics during induction motor starting were analyzed by applying smart inverter power control and SFCL, which aimed to suppress voltage fluctuation under high inrush current conditions. Experiments were conducted with smart inverters dynamically adjusting reactive power while SFCLs limit high inrush currents. The results show that smart inverters effectively suppress voltage drops during motor starting. Although SFCLs reduce inrush current, they can further decrease system voltage at the point of common coupling. This issue can be reduced through smart inverter control, improving voltage stability.
The novelty of this research lies in the integration of a responsive, cost-effective, multi-parameter control and monitoring platform equipped with automatic data logging within a single integrated HMI interface, which is ready to be applied for research as well as industrial automation laboratory practices.
Fahrul Marcello Rombon, Kevind Lefinro Rompas, N. Lombok et al.· Jambura Journal of Electrica...· 0 citations
This paper presents an experimental investigation of efficiency enhancement in capacitor-start single-phase induction motors (CS-SPIMs) using a load-adaptive capacitance control technique. Conventional motors employ fixed capacitors optimized for rated conditions, resulting in degraded efficiency and poor power factor under partial load operation. The proposed system utilises a switched capacitor bank controlled by a microcontroller to dynamically adjust capacitance based on real-time operating conditions. Voltage and current signals are measured and processed to estimate the power factor using a zero-crossing detection method, enabling the controller to select the optimal capacitor configuration that maximises performance. A hysteresis-based switching mechanism is incorporated to ensure stable operation and prevent excessive switching. Experimental results demonstrate that the adaptive system improves efficiency by up to 15.6% at light load conditions, while significantly enhancing power factor across the entire load range. Repeatability tests and uncertainty analysis are also conducted to validate the reliability and consistency of the measurements. The proposed approach provides a simple, low-cost, and effective alternative to complex power electronic solutions, making it particularly suitable for practical and resource-constrained applications.
Md. Ali· Journal of Microprocessor an...· 0 citations
The startup process of gas turbines driven by the static frequency converter (SFC) exhibits complicated electromechanical coupling characteristics. Conventional simulation methods fail to integrate physical modeling with sequence of event (SOE) data and cannot support co-simulation of multiple startup schemes at the power station level. In this paper, a hierarchical digital twin architecture oriented to gas turbine SFC startup is established to realize intelligent deduction of sequential control and break through the technical limitations of traditional simulations. Relevant waveforms and data of the F-class heavy-duty gas turbine during startup are obtained via the digital twin. The maximum effective value of voltage is 12.07 kV, the maximum effective value of current is 1.6 kA, and the peak output power of the SFC reaches 15.67 MW. The system achieves the rated speed (3000 rpm) within an acceptable start-up duration, demonstrating satisfactory dynamic response. All the above data conform to the preset startup parameters and operation control logic of heavy-duty gas turbines.
Yan Nie, Zhende Zhao, Xiao Fan et al.· Processes· 0 citations
Haiwell Cloud SCADA-based monitoring system to analyze the behavior of induction motors in real-time voltage, current, speed, frequency, and temperature, and a tension control method using a magnetic powder brake to simulate changes in the load dynamically is offered.
