International Journal of Power Electronics and Drive Systems (IJPEDS)
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    1941 research outputs found

    Design and implementation of digital logic for brushless DC motor control in electric vehicles

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    In today's world, the rise in global warming is driving a shift towards electric mobility. The progress in battery technology and power electronic devices has facilitated the transition of vehicles from being powered by traditional internal combustion engines to electric motors. The types of motors utilized for propulsion include DC motors, three-phase induction motors, permanent magnet synchronous motors (PMSM), and brushless DC motors (BLDC). Among them, the BLDC motor, when paired with a suitable control algorithm, proves to be the most suitable option for electric vehicle applications. The existing control algorithms for BLD motors are quite complex. Therefore, this study presents the development of an innovative and simple digital control algorithm based on a combinational logic circuit to drive the BLDC motor under motoring and regenerative braking mode. The proposed control algorithm and its effectiveness are validated by simulating it using Xilinx & Proteus software and experimenting with the concept in hardware by utilizing a PIC microcontroller. The proposed control algorithm forms a cost-effective alternative for BLDC motor speed control

    Support-centric PSO-based fuzzy MPPT tuning for photovoltaic systems under uniform conditions

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    Several conventional maximum power point tracking (MPPT) algorithms have been applied to harvest the optimal power of a photovoltaic (PV) system. However, the main drawbacks of these algorithms are their fluctuations around the maximum power point (MPP) and their dependence on climatic conditions variation. To overcome these issues, a fuzzy logic controller (FLC) is proposed, where the system performance depends strongly on the choice of membership functions (MFs). They are typically selected by trial and error, which may not always yield the best results. This paper seeks to enhance the efficiency of the traditional FLC method by using the particle swarm optimization (PSO) algorithm for optimizing the supports of the triangular MFs. The simulation was performed using MATLAB-Simulink environment using the "1Soltech 1STH-215-P" PV module and a single-ended primary-inductor converter (SEPIC) converter, under ideal environmental conditions of 25 °C and 1000 W/m². A comparison is established between PSO-optimized FLC and the standard FLC-based MPPT method, as well as with several other state-of-the-art approaches reported in related research. The simulation data present that the PSO-optimized FLC approach outperforms other algorithms

    Processor-in-the-loop performance validation of a three-phase NPC three-level inverter using a novel sinusoidal PWM technique for scalar control of an induction motor

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    This paper presents the performance of a three-phase, three-level neutral point clamped inverter driving an induction motor for variable-speed applications, compared to a two-level inverter. The studied inverter operates using a novel sinusoidal pulse width modulation technique that improves the quality of voltage and current output signals while increasing efficiency. Motor speed control is achieved using the scalar control (V/Hz) method. Experimental validation of the simulation results is performed by executing the generated C code on the F28379D DSP LaunchPad within the MATLAB/Simulink and Code Composer Studio environment, applying the processor-in-the-loop (PIL) technique

    Design a novel SSSC based FOPID controller for the hybrid PV-DFIG-based system to enhance transient stability and dampen power oscillations

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    The integration of photovoltaic (PV) and wind energy systems is becoming in creasingly significant in the modern energy sector. Among various technologies, doubly fed induction generator (DFIG)-based wind power systems are extensively utilized due to their superior power control capabilities. Conventional control strategies, such as proportional-integral (PI) controllers, are commonly implemented to stabilize system waveforms. However, recent advancements highlight the potential for improved oscillation damping through optimized controller designs. This paper introduces an optimal fractional-order proportional integral-derivative (FOPID) controller integrated with a static synchronous series compensator (SSSC) to enhance power system stability. The proposed approach incorporates the dynamic characteristics of a wind energy conversion system (WECS) connected to an infinite grid. A detailed WECS model is developed to assess the effectiveness and robustness of the proposed controller in mitigating power oscillations, particularly under varying wind conditions. The proposed FOPID controller offers enhanced flexibility for parameter tuning, enabling precise damping of power oscillations, and presents a significant advancement over traditional wind turbine systems based on permanent magnet synchronous machines (PMSM)

    Evaluation of a fuzzy-based sliding mode control strategy for a DC-DC buck converter

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    DC-DC converters operate as semiconductor power devices in which transformers such as buck converters often cause nonlinear characteristics to the converter, while the output voltage of the converter affected by dynamic input voltage and load change. This paper presents a sliding mode control strategy using a fuzzy observer to provide a sustainable response and high performance for buck converters affected by uncertainties such as input voltage and resistance load. The control strategy includes two feedback loops in which an external control loop forces the output voltage to track the set voltage, and the output of the external control loop is adapted as a sliding surface to control the current through the inductor to track the set current, called the internal control loop. Design analysis, control law and Lyapunov stability of the control strategy are illustrated. The simulation is developed on the MATLAB-Simulink platform, the results are re-evaluated experimentally based on the self-built prototype of DC-DC buck converter. The simulated and experimental results have showed that the output voltage and current of the buck converter have tracked the set points from low to high values despite sudden changes in load as well as in input voltage in the presence of noise. The compatibility index normalized root mean square error of the measured voltage and current using the proposed algorithm is [96.34%±1.02%, 95.09%±3.04%] higher than that using the proportional integral (PI) algorithm which is [95.94% ± 3.01%, 85.72% ± 3.95%] in the presence of varying parameters

    Optimal gating angles for a three-phase 60 Hz voltage source multi-level inverter based on intelligent algorithms

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    The three-phase multi-level inverter is considered one of the main power sources in industrial applications as well as in renewable energy applications. Therefore, researchers are interested in improving the efficiency of the inverter by reducing the total harmonic distortion (THD) value to its lowest limits. Also, one of the factors for improving the efficiency of the inverter is reducing the number of switches used, as it contributes to reducing the resulting losses. This research resorts to using many optimal algorithms to find the optimal values for the inverter gating angles that ensure reducing the THD value, as well as using a suitable topology with a least number of switches. The research used five algorithms known for their accuracy and efficiency, genetic algorithm (GA), gray wolf optimization (GWO), particle swarm optimization (PSO), slime mould algorithm (SMA), and whale optimization algorithm (WOA) separately. Then, extracting the distinctive characteristics of these algorithms in a hybrid curve and using it in driving the three-phase multi-level inverter (MLI) with 31 levels. The research displays the voltages and currents of the inverter as well as the frequency analysis for three-phase inductive load resulting from simulating the inverter using MATLAB software

    Analysis of the effect of environmental conditions on energy savings in lighting systems with dimming method in campus buildings

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    Our research is introducing a lighting system using dimming lamps to utilize natural sunlight to save electrical energy in campus buildings. It began with designing an LED light-dimming system using AC chopper technology. It was tested in library rooms in campus buildings. Its room is divided into three zones (A, B, C) based on the intensity of natural light reaching the room and the location of the work points. We analyzed the influence of the environment around the research object, including the location of work points, weather conditions, the position of the sun, and electrical energy saving in lighting systems using dimming LED lights in campus buildings. The test results show that implementing the proposed dimming system can reduce room electricity consumption by an average of 50.31% in good weather conditions. The location of the work point in the room dramatically influences the amount of this savings. For work point locations in zone C, these savings can reach 93.707%, while for work points in zone A, the savings are only 12.177%. The results show that the percentage of electricity consumption savings from the lighting system can be increased by increasing the natural light that reaches the room

    Simulation and analysis of wind energy potential for turbine systems in Pekanbaru-Indonesia based on MATLAB Simulink

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    The widespread use of electricity today, which is primarily generated from fossil fuels, results in significant environmental consequences due to excessive consumption. Renewable energy has been proposed as a solution to mitigate this issue. In Indonesia, particularly in Pekanbaru City, the demand for electricity currently exceeds the supply. However, this region has substantial potential for renewable energy sources. This study presents the modeling and analysis of wind energy, specifically wind turbine systems, using MATLAB Simulink. The methodology involves identifying existing problems, collecting technical data relevant to Pekanbaru and turbine components, and designing the turbine system within MATLAB Simulink. The results of this system indicate a mechanical power output of 1,191 watts, along with a calculated torque of 48.63 Nm. These findings suggest that the system is suitable for small-scale electricity needs. Further research and considerations are necessary to optimize the design and application of turbine systems for sustainable energy production. By improving the efficiency and scalability of wind energy systems, Indonesia can better address its energy deficit while reducing the environmental impacts associated with fossil fuel consumption

    Comparative reliability and performance analysis of PV inverters with bifacial and monofacial panels

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    In the realm of solar energy systems, the reliability and performance of photovoltaic (PV) inverters play a critical role in ensuring efficient energy conversion and long-term operation. This study delves into a comprehensive reliability-oriented performance assessment of PV inverters, with a particular focus on the comparative analysis between bifacial and monofacial panels. Reliability evaluation is carried out by considering a yearly mission profile with a one-minute sample at Hyderabad, India. A test case of a 3-kW PV system for grid-connected applications is considered. By integrating reliability metrics with performance indicators, we aim to provide a holistic evaluation of PV inverters operating under varying conditions inherent to both panel types. The research methodology involves detailed simulations and field data analysis to capture the nuances of inverter performance influenced by the unique characteristics of bifacial panels, such as their ability to capture light from both sides, compared to the traditional monofacial panels. In this paper, performance parameters such as junction temperature, MCS, and B10 lifetime (system level (SL) and component level (CL)) are evaluated. Key findings highlight the impact of these differences on inverter reliability. The Bi-PV panel exhibits a decreasing trend. In India, CL reliability (B10) is decreased from 34 years to 1.5 years, and SL reliability (B10) is decreased from 24 years to 1 year. In comparison with monofacial panels, the thermal stress on the PV inverter due to the bifacial panel is increased, and reliability is decreased

    Enhance the performance of 3-phase induction motors with the utilization of a 9-phase winding design

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    Because of its sturdy design, affordability, and convenience of use, the three phase induction motor is a common kind of electric motor, especially in the industrial sector. This motor design is still being improved to make it work better. For example, permanent magnets are being added to the rotor, control systems are getting better, the number of phases is being increased, and motor winding designs are developing. Nevertheless, the creation of the motor winding design is the least expensive aspect of all these endeavors. By creating a nine-phase winding configuration with a three-layer design in the motor, this study aims to enhance the performance of a three-phase induction motor. This study examined output power, speed, mechanical torque, and motor efficiency in a 3-phase system operation. The study's results indicated that the new design motor worked better, with higher output power (4.27%), rotor speed (0.61%), and mechanical torque (3.47%), despite a minor reduction in efficiency relative to conventional 3-phase induction motors (-0.24%)

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    International Journal of Power Electronics and Drive Systems (IJPEDS)
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