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Nowadays, predictive current control (PCC) strategy has been recognized as a promising option for the control of electric drives for their control flexibility, fast dynamic response and weighting factorless structure of objective function. However, such kinds of conventional control strategies make drives to suffer from the ingress of significant harmonics in stator current, increasing further the steady state flux ripple followed by a noticeable torque ripple. To ameliorate these aforementioned shortcomings of conventional scheme, the present work employs the concept of virtual voltage vector (V) in PCC strategy. The mathematical steps of the proposed VPCC make the scheme more frontward in delay compensation, and also less parameter sensitive than the conventional one. As a baseline for the performance analysis, the present VPCC is compared with a weighting factorless V based predictive flux control (PFC) scheme in induction motor (IM) drive. A speed adaptive flux observer is considered for the speed estimation purpose in both the control schemes. The performance of both the sensorless schemes for IM drive are analysed in MATLAB/Simulink, and also experimentally verified in a 2.2 kW IM drive test bench.
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http://dx.doi.org/10.1016/j.isatra.2022.07.007 | DOI Listing |
ACS Appl Mater Interfaces
September 2025
Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
The development of high-performance wearable haptic actuators remains challenging for immersive virtual reality (VR) applications due to limitations in voltage efficiency, low-voltage operation, and tactile fidelity. This work presents conformal elastic electret actuators composed of silica and poly(dimethylsiloxane) (PDMS) nanocomposites and liquid-metal (LM) electrodes, which overcome limitations in skin-device mechanical mismatch and energy efficiency. Through parametric polarization optimization under coupled thermal-electric fields (4 MV/m, 180 °C), the actuators demonstrate low threshold voltage (38.
View Article and Find Full Text PDFSensors (Basel)
August 2025
College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China.
Recent advancements in synchrophasor measurement technologies have introduced an unprecedented level of visibility in power distribution networks (PDNs), providing a high-quality data foundation for the accurate perception of event source locations. However, the high cost and deployment expense pose a significant challenge in balancing system observability and event source location identification (ESLI) accuracy. In this paper, we propose a staged ESLI scheme based on voltage measurement deviation (VMD), which can achieve high-precision ESLI and event current calculations under extremely low-observability conditions, where the measurement devices are deployed only at the head substation and terminal buses.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Qingdao Veccon Electric Co., Ltd., Qingdao 266200, China.
The droop control strategy, known for its communication-free nature, is widely adopted for the parallel operation of inverter units. However, in microgrids, mismatches in line impedances and various measurement inaccuracies often lead to imbalanced reactive power sharing among inverters and significant circulating current. To address these challenges, this paper proposes an adaptive droop control method that relies solely on local measurements from each inverter, eliminating the need for communication.
View Article and Find Full Text PDFPediatr Cardiol
August 2025
Division of Pediatric Cardiology, Goryeb Children's Hospital,Atlantic Health System, Morristown, NJ, USA.
Cardiac computed tomography (CCT) is increasingly used to evaluate congenital heart disease (CHD), but remains underutilized in low and middle-income countries (LMICs) due to training and system level barriers. Structured quality improvement (QI) strategies for safe implementation are limited. This initiative aimed to implement a high-quality congenital CCT service in a resource-limited public hospital through structured QI methods, multidisciplinary collaboration across cardiology, anesthesia, radiology, and surgery, and innovative training approaches including virtual mentorship without requiring new capital equipment.
View Article and Find Full Text PDFAdv Mater
August 2025
Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
With the rapid advancement of artificial intelligence, multimodal sensing is becoming increasingly important. However, conventional approaches relying on multiple integrated sensors face significant challenges due to power consumption and miniaturization requirements. In response, a wearable multimodal sensory textile (MST) for simultaneous mechanical and thermal sensing is developed.
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