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На сьогоднішній день за рахунок всесвітньої діджиталізації величезна кількість даних зберігається та ділиться між великою кількістю користувачами по всьому світу, що призводить до стрімкого зростання кількості центрів обробки даних, що складають групи серверів, пристроїв зберігання даних, мереж та телекомунікаційних систем для обслуговування користувачів у всьому світі. Зростання енергоспоживання вимагає від інженерів розробки більш ефективних перетворювачів енергії. Серед різних видів імпульсних джерел живлення резонансні перетворювачі потужності викликають великий інтерес через їх власну здатність зменшувати втрати від перемикання при збільшенні частоти роботи. Задачею дослідження є покращення регулювальних характеристик даного перетворювача за рахунок використання контролера на основі нечіткої логіки. З метою підтвердження аналітичних досліджень проведено симуляцію роботи обраної системи керування на основі нечіткої логіки, та порівняння її роботи з ПІД регулятором за параметрами: час наростання, час встановлення, ступінь перерегулювання та коефіцієнтом нелінійних спотворень., Today, due to the worldwide digitalization, a huge amount of data is stored and shared by countless users around the world, which leads to a rapid growth in the number of data centers that make up groups of servers, storage devices, networks and telecommunications systems to serve users around the world. Increasing energy consumption requires engineers to develop more efficient energy converters. Among the various types of switching power supplies, resonant power converters are gaining a lot of interest through their own ability to reduce switching losses as the switching frequency increases. The aim of the study is to improve the adjustment characteristics of this Converter by using a controller based on fuzzy logic. To confirm the analytical studies, the selected control system was simulated based on fuzzy logic and compared with the regulator in terms of parameters: rise time, setting time, the degree of over-regulation and the coefficient of nonlinear distortion.

Energy originating in tidal and ocean currents appears to be more intense and predictable than other renewables. In this area of research, the Tidal Stream Generator (TSG) power plant is one of the most recent forms of renewable energy to be developed. The main feature of this energy converter is related to the input resource which is the tidal current speed. Since its behaviour is variable and with disturbances, these systems must be able to maintain performance despite the input variations. This article deals with the design and control of a tidal stream converter system. The Fuzzy Gain Scheduling (FGS) technique is used to control the blade pitch angle of the turbine, in order to protect the plant in the case of a strong tidal range. Rotational speed control is investigated by means of the back-to-back power converters. The optimal speed is provided using the Maximum Power Point Tracking (MPPT) strategy to harness maximum power from the tidal speed. To verify the robustness of the developed methods, two scenarios of a disturbed tidal resource with regular and irregular conditions are considered. The performed results prove the output power optimization and adaptive change of the pitch angle control to maintain the plant within the tolerable limits.

Energy originating in tidal and ocean currents appears to be more intense and predictable than other renewables. In this area of research, the Tidal Stream Generator (TSG) power plant is one of the most recent forms of renewable energy to be developed. The main feature of this energy converter is related to the input resource which is the tidal current speed. Since its behaviour is variable and with disturbances, these systems must be able to maintain performance despite the input variations. This article deals with the design and control of a tidal stream converter system. The Fuzzy Gain Scheduling (FGS) technique is used to control the blade pitch angle of the turbine, in order to protect the plant in the case of a strong tidal range. Rotational speed control is investigated by means of the back-to-back power converters. The optimal speed is provided using the Maximum Power Point Tracking (MPPT) strategy to harness maximum power from the tidal speed. To verify the robustness of the developed methods, two scenarios of a disturbed tidal resource with regular and irregular conditions are considered. The performed results prove the output power optimization and adaptive change of the pitch angle control to maintain the plant within the tolerable limits.

Energy originating in tidal and ocean currents appears to be more intense and predictable than other renewables. In this area of research, the Tidal Stream Generator (TSG) power plant is one of the most recent forms of renewable energy to be developed. The main feature of this energy converter is related to the input resource which is the tidal current speed. Since its behaviour is variable and with disturbances, these systems must be able to maintain performance despite the input variations. This article deals with the design and control of a tidal stream converter system. The Fuzzy Gain Scheduling (FGS) technique is used to control the blade pitch angle of the turbine, in order to protect the plant in the case of a strong tidal range. Rotational speed control is investigated by means of the back-to-back power converters. The optimal speed is provided using the Maximum Power Point Tracking (MPPT) strategy to harness maximum power from the tidal speed. To verify the robustness of the developed methods, two scenarios of a disturbed tidal resource with regular and irregular conditions are considered. The performed results prove the output power optimization and adaptive change of the pitch angle control to maintain the plant within the tolerable limits.