Fuzzy-based MPPT algorithm implementation on FPGA chip for multi-channel photovoltaic system

Abstract

<span lang="EN-US">Microprocessors and microcontrollers are mostly used to control electrical systems. These chips front into problems while monitoring systems that need heavy computing and important processing. Likewise, they fail while handling inputs and outputs speeds, especially with multi-channel photovoltaic (PV) systems. In comparison to a digital signal processor (DSP) and microcontroller implementations, field programmable gate array (FPGA) device is able to integrate a great number of PV channels and to achieve short development time, cost less and more flexible operation. As well, new control algorithms are increasingly complex; using new performing technologies is very motivating. Mainly, FPGA technology is adopted thanks to its ability to control complex applications and intelligent laws. In opposition to traditional controls, fuzzy logic based control presents more efficiency and reliability response for non-linear systems. Therefore, this paper deals with the execution of the fuzzy-based maximum power point tracking (MPPT) technique by the means of the FPGA chip for a multi-channel photovoltaic system. A multi-channel photovoltaic system is designed. Then, the FPGA circuit is investigated to get benefits from this hardware solution. Since software implementation way integrates a limited number of PV panels, hardware implementation is a promising solution that reduces execution time and therefore controls a huge number of photovoltaic channels. Finally, results of simulation of the fuzzy technique implementation on FPGA chip show that the proposed PV system controls more than 4400 channels. Therefore, the system output power is increased and the system profitability is improved.</span>

Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter

“…Where ℎ 𝑎 (𝑡) is represented the random attack vector, ℎ ′ (𝑡) is described as model observation and 𝑔 ′ (𝑡) is identified as system process states [24].…”

The effectiveness of a hybrid MPPT controller based on an artificial neural network and fuzzy logic in low-light conditions

“…The adaptive proportional integral (PI) control, employed as the external controller, is dynamically adjusted in real-time through the utilisation of fuzzy logic (FL). Fuzzy-based MPPT is the topic of the research in [16], which analyses the use of a field-programmable gate array (FPGA) chip to apply the approach in a multi-channel PV system. The study conducted by Rout et al [17] investigates the influence of various MPPT algorithms on the improvement of PV system efficiency by means of adjusting the duty ratio of the power interface.…”

Photovoltaic fault diagnosis algorithm using fuzzy logic controller based on calculating distortion ratio of values

“…DC-DC converters are used in PV systems in order to charge batteries and also supply DC loads [17]. [18] used to control the converter can also provide system faults such as command fault (F11). The different types of a buck converter related faults and its impact on the output voltage are respectively shown in Fig.…”