The digital elevation model (DEM) and its derived morphometric factors, i.e., slope, aspect, profile plan curvatures, topographic wetness index (TWI), are essential for natural hazard modeling prediction as they provide critical information about the terrain’s characteristics that can influence likelihood severity of hazards. Therefore, increasing accuracy DEM factors plays a role. primary aim this study is to evaluate compare effects resampling downscaling from low medium resolution high...

In mobile electric drive systems, the Permanent Magnet Synchronous Motors (PMSM) system is preferred for development because of its high efficiency, power density, and low maintenance cost advantages. The PMSM speed control method based on active reactive inverter eliminates division area reference speed. order to improve ability respond quickly changes caused by load torque or changes, article proposes a using an advanced Fuzzy PI controller instead traditional in loop. results obtained...

This paper investigates an artificial neural network (ANN)-based field-oriented control (NN-FOC) for a surface-mounted permanent magnet synchronous machine (SPMSM) drive. The ANN was trained by using the modified Levenberg-Marquardt MLM algorithm. novel Maximum Torque per Ampere (MTPA) and flux weakening (FW) approach are undertaken electric vehicle (EV) application. proposed is validated in simulation tests compared with PI based (PI-FOC). results show that maximum operating speed of...

This paper proposes a new method for PMSM parameter identification based on Modified Jaya algorithm (MJA). The fact is that the performance of motor drive system using vector control depends PI regulator. Those regulator parameters will be tuned appreciate parameters. Consequently as to improve operation need adjusted exactly and suitable results, validated by simulation modeling in MATLAB/Simulink software, prove outperforming proposed modified comparison with differential evolution (MDE)...

Two copper phyllosilicates were prepared via co-precipitation accompanied by hydrothermal treatment at pH constant. The obtained materials physically characterized XRD, H2-TPR, TEM, BET and XPS techniques. results indicated that Cu(II) ions successfully intercalated into the phyllosilicate framework a low Cu/Si molar ratio. solid possesses layered structure, high surface area, more reducibility. synthesized tested for liquid oxidation of benzyl alcohol mild conditions. It was found...

This paper proposes an advanced optimal Fuzzy PI algorithm to ameliorate the effectiveness of PMSM velocity control and minimize computation burden in digital signal processing (DSP) controller experimentally embedded. Compared with conventional FOC-PI techniques, response time regarding referential speed load torque variations are significantly reduced. Furthermore, both amplitude fluctuations stator current ripple minimally optimized using DE optimization algorithm. The experimental...

This paper proposes an advanced flux-weakening control method to enlarge the speed range of interior permanent magnet synchronous motor (IPMSM). In deep flux weakening (FW) region, linkage decreases as increases, increasing instability. Classic methods will be unstable when operating in this area changing load torque or reference is required. The a hybrid eliminate instability caused by voltage limit violation and improve velocity-tracking efficiency combining two classic methods. Besides,...

The paper proposes a new speed control method to improve quality and expand the Permanent Magnet Synchronous Motors range. (PMSM) range enlarging is based on newly proposed power principle between two voltage sources instead of winding current as conventional Field Oriented Control method. management inverter PMSM motor allows Flux-Weakening obstacle be overcome entirely, leading significant extension constant Based control, for efficiently reducing torque ripple caused by imbalance supply...

With the goal of education aimed at sustainable development as reflected in 2018 General Education Program, schools general and subject physics particular need to educate students raise awareness about energy issues how use efficiently, safely, reasonably. Therefore, this report presents research results on building STEM topic “Energy” blended learning, contributing education. The propose a process learning stages teaching materials support teachers topics energy, helping develop...

This article presents the results of research on building learning materials in accordance with requirements to be achieved thematic “Physics Environmental Protection Education (PEPE)” Physics 10 support Blended according orientation The General Program (GEP) 2018. Specifically, have been built for teaching PEPE applying physics theory. Additionally, practical methods are used combination statistical approaches identify difficulties when PEPE, thereby establishing criteria developing...

In Vietnam general education curriculum 2018, a learning model called STEM is being interested in and encouraged teaching learning. Choosing topic will engage students to explore knowledge. The topics which selected need be linked reality have direct impact on human life. the era of industry 4.0, besides data science, machine learning, artificial intelligence, etc., role automation indispensable. previously developed are quite diverse, including physics, chemistry, biology, informatics, etc....

The maximum power point tracking (MPPT) solutions improve generation efficiency, quickly stabilizing the output waveform of photovoltaic (PV) systems under variable operating conditions. Along with new algorithms, improved and adjusted methods to exploit energy from PV are increasingly being researched proposed. However, proposed based on traditional algorithms their improvements have poor performance, while advanced or hybrid bring high performance but need be simplified, response speed is...

This paper proposes a neural vector control (NN-FOC) for speed regulation of interior-mounted permanent magnet synchronous motor (IPMSM) drive. The weights proposed NN-FOC structure are optimally identified based on the Levenberg-Marquardt algorithm. novel MTPA approach is applied IPMSM-based electric vehicle (EV) drive application. verified in simulation tests and compared with traditional PI-FOC control. results prove that maximum IPMSM range available new significantly improved comparison...