Hardware Implementation of an Adaptive Network-Based Fuzzy Controller for DC–DC Converters

Rubaai, A.; Ofoli, Abdul R.; Burge, Legand; Garuba, Moses

doi:10.1109/tia.2005.857461

Cited by 44 publications

(22 citation statements)

References 12 publications

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“…The Artificial Neural Network Controller (ANNC) is designed for controlling the SEPOSLC converter. The neurons in ANNC are trained by utilizing the values of transfer function [9,12]. The neurons are trained up by an online learning algorithm.…”

Section: Introductionmentioning

confidence: 99%

Real Time Analysis of Positive Output Super Lift Converter Using ANN Controller

VENKATESH¹,

KAMALAKANNAN²

2024

SIC

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Abstract:The Artificial neural network controller is used for controlling any electrical and electronic system using the logical method. The controller performs the logical function by utilizing the unique learning algorithms. The application of artificial neural network controller in positive output super lift converter enables the system to maintain the stability, reliability, and performance during the input-output parameterization. The hardware and simulation works are carried out in this proposed model. The comparative study with existing controller models is impacted. In all such cases, the ability of the super lift converter system using artificial neural network controller yields the best in class performance, stability and efficiency for both line and load variation.Keywords: stability of super lift converter, hardware efficiency of super lift converter, a performance comparison of the converter, comparative study on converters.

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Section: Introductionmentioning

confidence: 99%

Real Time Analysis of Positive Output Super Lift Converter Using ANN Controller

VENKATESH¹,

KAMALAKANNAN²

2024

SIC

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“…Different control technologies were used to control DC-DC converter using a microcontroller and an extra specialized hardware proposed a FLC that uses an optimal algorithm, and they have given experimental results. Design of fuzzy logic has been applied to a broad variety of engineering problems, particularly those having nonlinear dynamics [15]- [20]. Fuzzy logic controllers have been implemented as embedded controllers for frequency controlled induction motor drives.…”

Section: Introductionmentioning

confidence: 99%

A study of maximum power point tracking algorithm for photovoltaic systems using a fuzzy logic controller

Elzein¹,

Petranko²

2014

Automation, Mechanical and Electrical Engineering

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Solar panels have a nonlinear voltage-current characteristic, with a distinct maximum power point (MPP), which depends on the environmental factors, such as temperature and irradiation. In order to continuously harvest maximum power from the solar panels, they have to operate at their MPP despite the inevitable changes in the environment. This is why the controllers of all solar power electronic converters employ some method for maximum power point tracking (MPPT). Over the past years many MPPT techniques have been published and based on that the main paper's objective is to analyze one of the most promising MPPT control algorithms: fuzzy logic controller. I. IntroductionAccording to the realization of high efficiency and low cost photovoltaic (PV) modules, interest in photovoltaic power generation system has increased over the past decade as a clean and infinite energy [1]. The PV modules have maximum operating points corresponding to the surrounding condition such as intensity of the sunlight, the temperature of the PV modules, cell area, and load. When solar energy is used as a power source, the output power has to be maximized by improving the efficiency of the power conditioning equipment used and implementing an adaptive power controller that automatically tracks the system to the point of maximum power delivered from the solar panel under all conditions.

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“…Basically, in the development of the fuzzy logic controller, the fuzzy logic method utilizes linguistic variable and common rule without requiring exact model. Hence, this method has shown promise in dealing with nonlinear system achieving voltage regulation in DC-DC converter [4].…”

Section: Introductionmentioning

confidence: 99%

“…Although the fuzzy logic controllers have achieved many practical successes, it has not yet been viewed as a rigorous science due to lack of formal analysis and synthesis technique [4]. Due to this reason, a lot of research has been carried out to develop adaptive fuzzy logic controllers.…”

Section: Introductionmentioning

confidence: 99%