Today, all the processes associated with technology, mainly operate in autonomous modes, so devices such as a temperature sensor are a must. Since technical progress is taking place in industry and production by leaps and bounds, all equipment most often used in various kinds of processes and work has an automatic principle of operation [1]
However, for productive work, albeit automated units, it is necessary to comply with all the exact indicators at which the device's performance will be the highest. These indicators include values, namely the required, more precisely, the working pressure, speed, and temperature. To prevent rapid wear and overload of automated equipment, the temperature level must be measured. Of course, this is not done with a simple thermometer or thermometer. For these purposes, special devices are used, such as temperature sensors. Wind power is one of the most important renewable energy solutions. As a rule, wind farms are located far from civilization, in remote regions - in hilly areas, on the sea coast [2]. These types of terrain are chosen because wind energy becomes profitable only under conditions that allow obtaining the maximum amount of wind throughout the year. However, the harsher environment calls for more sophisticated wind turbines, usually consisting of towers, blades, hubs and nacelles. To ensure control over all parts of the wind turbine, companies install controllers near the tower. A wind generator controller, like a PLC, is the brain of any wind generator, providing control over the system as a whole, the ability to generate reports and monitoring. The generator must be controlled and programmed; without a controller, it couldn't work correctly. For this reason, the controllers must be connected to a single system for remote monitoring, power generation reporting, parameter monitoring and diagnostic maintenance [3].This article provides an algorithm for calculating a temperature sensor for its correct selection for a wind generator system, which will subsequently be used for a temperature control system in a generator system.
Fuzzy Robust H∞ Tracking Control For Wind Generator System: LMI approach
