Autors: Ganchev, I. K., Taneva, A. M., Kutryanski, K. P., Petrov, M. G.
Title: Decoupling Fuzzy-Neural Temperature and Humidity Control in HVAC Systems
Keywords: Fuzzy PID controllerSelf-Tuning PID controllerTemperatureHum

Abstract: This paper presents a neuro-fuzzy structure of a decoupling fuzzy neural PID controller with self-tuning parameters. This structure is appropriate for heating, ventilation and air conditioning HVAC nonlinear plants. The main advantage here is that the equation of classical PID control with decoupling coefficients are used as a Sugeno function into the consequent part of the fuzzy rules. Hence, the designed decoupling fuzzy PID controller could be viewed as a natural similarity to the conventional PID controller with decoupling elements. A benchmark HVAC system with temperature and humidity control is considered to illustrate the benefits of the design paradigm. The performance of this set up was studied for reference tracking and disturbance rejection cases. Simulation results confirm the effectiveness of the proposed control system.

References

    Issue

    , vol. 25, pp. 299-304, 2019, Bulgaria, IFAC-PapersOnLine, Volume 52, Issue 25, 2019, DOI 10.1016/j.ifacol.2019.12.539

    Copyright IFAC-PapersOnLine

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    Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus