Analysis of math function based controller for a smooth transition between battery and ultracapacitor

Katuri, Raghavaiah; Gorantla, Srinivasarao

doi:10.18280/mmep.050416

Cited by 5 publications

(5 citation statements)

References 9 publications

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“…As a result, there are no oscillations in the duty cycle that the PI controller generates. In terms of offset and steady-state error, the PI controller outperforms the PID controller [19]- [22]. With all of these considerations in mind, this study chooses to use a PI controller rather than a PID controller.…”

Section: Pi Controllermentioning

confidence: 99%

Voltage stability of a photovoltaic DC microgrid using fuzzy logic controller

Manohar,

Padma

2024

IJAPE

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This article employs a fuzzy logic controller (FLC) to investigate voltage stability in a PV-based DC microgrid. Several photovoltaic (PV) modules, a DC-DC converter, and loads make up the microgrid. Due to the widespread use of intermittent PV power, voltage stability is a crucial problem for DC microgrids and is difficult to accomplish. This study proposes an FLC-based voltage control technique that leverages input factors including PV output power, DC-DC converter duty cycle, and load current to identify the best course of action for preserving the system's voltage stability. The FLC's performance is assessed by simulation, and it is meant to be resilient to parameter fluctuations and uncertainties. The simulation results demonstrate that the suggested FLC-based control strategy successfully maintains the microgrid's voltage stability under a variety of operational circumstances, including changing solar irradiance and load variations. Moreover, the FLC performs better than other control methods.

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Section: Pi Controllermentioning

confidence: 99%

Voltage stability of a photovoltaic DC microgrid using fuzzy logic controller

Manohar,

Padma

2024

IJAPE

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“…( 2) model as a reference in the calculation of the (I-V) characteristic model, with constant C being a geometric function of the capacitance as proposed by [14,15]. The capacitance function in the corona discharge is different from the capacitance function in the case of ordinary electricity [23,24]. The electrode active of the CEM-P configuration has a pentagonal shape.…”

Section: Mathematical Modelsmentioning

confidence: 99%

Capacitance Calculation Model in Corona Discharge Case

Wardaya¹,

Muhlisin²,

Suseno³

et al. 2022

(MMEP

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The (I-V) characteristic pattern of the corona discharge case is very different from the pattern of ordinary electric circuits, so it is interesting to investigate. Several previous studies involved the concept of Maxwell's equations on several physical case models such as coaxial cylinder, electrohydrodynamic, and the electric wind. In this study, we use a capacitance calculation model for positive dc corona discharge in air, especially in calculating the (I-V) current-voltage characteristics of an electrode configuration model, often referred to as capacitively coupled plasma (CCP). The configuration model comprises active and passive electrodes, with the active electrode in the form of a pentagonal with the sharp end (in the middle) facing downwards in an upright position. The passive electrode under the active electrode has a large rectangular shape in a lying place. This configuration model is named The Chisel Eye and Midpoint-Plane (CEM-P). The analytical calculation of the (I-V) characteristics uses the geometric properties of the active electrode, which will produce a large corona current flow at the pointed electrode. These properties in analytical calculation manifest with the emergence of the corona flow multiplication factor at the sharp active electrode’s integration boundary condition called the shape sharpness factor k. The Python GUI Programming simulation program makes graphic simulations, Standard Deviation (SD), t-tests, and calculating the factor k (fitting curve value) between numerical calculations and research data. The values of the SD, the t-tests, and the Percentage of tangent points meet the requirements for a high level of accuracy for the four CEM-P configuration models of the (I-V) characteristics simulation graph with the graph has a relatively large percentage of tangent points values (82.35% – 94.44%).

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“…This circuit collects the voltage and current in the charging process, making it possible to compute the charging power of Farad capacitor [11][12][13][14]. The structure of the voltage and current sampling circuit is shown in Figure 4, where P9 is connected to Farad capacitor, and R28 and R30 are two resistors that divide the collected voltage to the range of input voltage required for the AC/DC converter.…”

Section: Voltage and Current Sampling Circuitmentioning

confidence: 99%

A Farah Charging System Based on Constant Power Supply

Xiao¹,

Li²

2019

EJEE

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The efficiency and time of charging are critical to the application of Farad capacitor. To reduce the loss and enhance the efficiency of Farad capacitor charging, this paper designs a constant power charging system for Farah capacitor based on negative feedback control. Centering on KEAZN64 microprocessor, the system collects the charging voltage and current in real time, which are processed by the microprocessor using the proportional-integral-derivative (PID) algorithm. Then, the microprocessor outputs pulse-width modulation (PWM) signals. Under the control of these signals, the half-bridge drive circuit realizes the constant power charging of Farad capacitor bank. Several experiments were conducted to compare the charging efficiency and time of three charging modes on a Farad capacitor bank, namely, constant voltage charging, constant current charging and constant power charging. The experimental results show that the constant power charging outperformed the other two modes, and the proposed system could charge the Farad capacitor bank with a constant power between 1~60W. The charging efficiency of the system reached 96%. The research findings provide a strong technical support for the promoting of Farad capacitor.

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Analysis of math function based controller for a smooth transition between battery and ultracapacitor

Cited by 5 publications

References 9 publications

Voltage stability of a photovoltaic DC microgrid using fuzzy logic controller

Voltage stability of a photovoltaic DC microgrid using fuzzy logic controller

Capacitance Calculation Model in Corona Discharge Case

A Farah Charging System Based on Constant Power Supply

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