Dr. SHABBIER AHMED SYDU
@act.edu.om
Lecturer
university of technology and applied sciences Al- Mussanah
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Multidisciplinary
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Shaik Gouse Basha, Nagabirava Triveni, Namburi Bhavani, Suggula Sravana Jyothi, Puni Bhargav Yadav, and Shabbier Ahmed Sydu
IEEE
This article presented the switched capacitor-based five-level inverter using the PDPWM control technique. The inverter has the ability to boost the DC-DC voltage using the switched capacitor function. A unique composite structure cuts the number of components in relation to traditional multilevel inverter topologies. The occurring switching losses can be reduced by operating some switches at main voltage frequencies. As a result, switched-capacitor circuits are used to unlock the possibilities for power density and system efficiency. More ever, the control technique employs an improved carrier-based phase disposition pulse width modulation scheme. The output waveform quality may be substantially enhanced with this control technique, and the capacitor voltages are self-balanced. The MATLAB Simulink of the proposed five-level inverter shows the analysis and performance of the inverter.
Khammampati R Sreejyothi, Balakrishnakothapalli, Kalagotla Chenchireddy, Shabbier Ahmed Sydu, V Kumar, and Waseem Sultana
IEEE
This paper presents a bi-directional battery charger circuit. The implemented circuit is controlled by a PI controller. The DC to DC converters are plays a key role in solar power plants and battery charging stations. It is possible to charge and discharge batteries using this bi-directional DC to DC converter. The converter functions as a boost converter when it is discharging and as a buck converter when it is charging. The bi-directional converter is managed by the closed-loop PI controller. These paper simulation results are verified in MATLAB/Simulink software during battery charging and discharging mode. The simulation results during charging and discharging mode reached reference values.
Kalagotla Chenchireddy, V Kumar, Eswaraiah G, Khammampati R Sreejyothi, Shabbier Ahmed Sydu, and Lukka Bhanu Ganesh
IEEE
This article presents switched reluctance motor (SRM) with an artificial neural network (ANN). The SRM motor is an electronically controlled motor like a BLDC motor. The motor required a power electronic converter for controlling stator poles. The main advantages of SRM motor are low cost, a low-temperature effect due to no winding on the rotor, easy manufacturing design, it operates at high speed, and high efficiency. The main disadvantage of the SRM motor is torque ripple and noiseThis paper ANN-based SRM implemented for torque ripple minimization. The simulation results are verified in MATLAB/Simulink software. The verified results are motor speed, torque, current, and flux. The performance of SRM compared with Hysteresis Current Controller (HCC) and ANN controller. ANN-based SRM results are the best performance during motor starting and running conditions. The main outcomes of this paper are reducing starting torque and torque ripple minimization and reducing starting current and running current.
The dynamic voltage trained worker (DVR) offers series compensation and better management resolution to voltage-sag drawback; as a results of the voltage restoration technique provides Active Power injection into the distribution system, to spice up active power at intervals the system ids done correct alternative of DVR in given network, considerably for mitigating long-duration voltage dips i.e. sag, and sag mitigation amount depends on the energy storage capability of the DVR. This paper prove higher answer in modeling the simulation of voltage sag compensation through Interline Dynamic Voltage trained worker (IDVR) and it provides some way to top off dc-link energy storage dynamically. The IDVR consists of the various} DVRs connected to numerous distribution feeders within the power System. The DVRs within the IDVR system share common energy storage. one all told the DVR compensates for voltage sag showing throughout this feeder, the opposite DVRs top off the energy within the common dc-link dynamically. Thus, one DVR within the IDVR system works in voltage-sag compensation mode whereas the opposite DVRs within the IDVR system operate in constant power management mode. this system involves SPWM technologies to spice up the Doctor of Theology. The simulation results unit of measuring enclosed may additionally} the operative principles of a DVR and shows the effectiveness and also the power of the projected IDVR system to spice up power quality