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Instruments and Systems: Monitoring, Control, and Diagnostics

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Accounting inertia in fuzzy logic control systems
V.S. TITOV, M.V. BOBYR, S.A. KULABUHOV

The article shows that the use of fuzzy logic allows to take into account the inertial properties of control systems. Occurs due to inertia sensors with time delays in the work, when signaling properties of the controlled objects. Applying in the fuzzy algorithms taking into account the temporary delay may improve the performance of the whole system. The authors recommended to use fuzzy logic inference algorithms and soft arithmetic operators to reduce inertia. The article gives an example illustrating the effectiveness of the proposed modifications on the basis of simulation system inertia damper controls the air conditioner. Its input parameters are the ambient temperature and the time delay in the sensor, and the output value of rotation flap. Fuzzy algorithm that takes into account the inertia of the readings from sensors, predicts the current temperature, and the system sends the throttle control action before setting the temperature on the sensor. Effectiveness of the proposed solutions is confirmed by numerical simulations, which showed the viability of this method of accounting for the properties of the inertia in the system through the use of fuzzy logic and soft arithmetic operations.
Keywords: fuzzy logic, fuzzy inference, inertia, inertial system, a microcontroller, processor ATmega, MISO-system, the center of gravity method, simulation.

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