6 research outputs found

    Gate Driver Circuit Design, PWM signal generation using FEZ Panda III and Arduino for Inverter

    Get PDF
    This paper presents the gate driver circuit design and PWM signal generation using FEZ panda III and Arduino boards for Inverter. FEZ panda III works on .net micro framework and all its programming, debugging features are available through Microsoft’s Visual studio whereas Arduino features are available through Arduino software. Inverters are used in various applications like in motor drives and solar and wind power applications. This paper is commenced by basic understanding of need of gate driver circuit for inverter and different types of PWM techniques for generating gate signals for inverter. Simulation of SPWM inverter in both open loop and closed loop operation is done and its respective gate voltage waveforms are studied and later hardware implementation of gate driver circuit using TLP250H IC is carried out and gate voltages at different duty cycles is studied with the help of FEZ Panda III and Arduino boards

    Control Techniques for the Cascaded and Cross-switched Multilevel Inverter - A Comparison

    No full text
    Nowadays, the multilevel inverter has gained huge attention and has become more popularized in high voltage and high-power applications with low harmonics. As the number of output voltage increases, the harmonic content of the output voltage waveform decreases. In this paper, a comparison of cascaded H-bridge and cross-switched multilevel inverters for 7, 9, 15, 21 levels will be carried out. The different control techniques that will be used for carrying out comparisons are space vector pulse width modulation (SPVPWM), sinusoidal pulse width modulation (SPWM), and third harmonic injection pulse width modulation (THI-PWM) respectively. Here, the seven-level inverter is discussed mainly and can be extended to any number of levels

    Gate Driver Circuit Design, PWM signal generation using FEZ Panda III and Arduino for Inverter

    No full text
    This paper presents the gate driver circuit design and PWM signal generation using FEZ panda III and Arduino boards for Inverter. FEZ panda III works on .net micro framework and all its programming, debugging features are available through Microsoft’s Visual studio whereas Arduino features are available through Arduino software. Inverters are used in various applications like in motor drives and solar and wind power applications. This paper is commenced by basic understanding of need of gate driver circuit for inverter and different types of PWM techniques for generating gate signals for inverter. Simulation of SPWM inverter in both open loop and closed loop operation is done and its respective gate voltage waveforms are studied and later hardware implementation of gate driver circuit using TLP250H IC is carried out and gate voltages at different duty cycles is studied with the help of FEZ Panda III and Arduino boards

    Comparison of Control Techniques & Modeling of 15-level cross H Bridge Multilevel Inverter

    No full text
    This paper presents the simulation of a 15-level cross-H bridge multilevel inverter using control techniques like sinusoidal pulse width modulation and third harmonic injection pulse width modulation. This paper aims to enhance output voltage level using fewer switches and to decrease total harmonic distortion by improving overall efficiency. Compared to other inverter topologies cross H bridge topology uses a lesser number of switches and dc voltages. Analysis and simulation of 15-level cross H bridge MLI are performed and presented

    On the non-parametric changepoint detection of flow regimes in cyclone Amphan

    No full text
    The Bay of Bengal was witness to a severe cyclone named Amphan during the summer of the year 2020. The National Institute of Ocean Technology (NIOT), INDIA moorings BD08 and BD09 happened to be in the vicinity of the cyclone. The highly instrumented mooring recorded near-surface meteorological parameters like wind speed, sea surface temperature, and near-surface pressure. This article explores the possibility of using a non-parametric algorithm to identify different flow regimes using a one-month long time-series data of the near-surface parameters. The changes in the structure of the time series signal were statistically segmented using an unconstrained non-parametric algorithm. The non-parametric changepoint method was applied to time series of near-surface winds, sea surface temperature, sea level pressure, air temperature and salinity and the segmentations are consistent with visual observations. Identifying different data segments and their simple parameterization is a crucial component and relating them to different flow regimes is useful for the development of parametrization schemes in weather and climate models. The segmentations can considerably simplify the parametrization schemes when expressed as linear functions. Moreover, the usefulness of non-parametric automatic detection of data segments of similar statistical properties shall be more apparent when dealing with relatively long time series data
    corecore