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Simulation of a Combined Robust System with a P-Fuzzy Controller

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2019)

Abstract

A combined robust control system with a fuzzy P-controller has been presented in the paper. A bias signal which creates a forward-looking ratio proportional to the input task has been introduced to the control action of a fuzzy P-controller. The results of the simulation modelling have been performed during the simulation process. It has been shown that a fourfold increase of the object transfer coefficient causes the change of the overregulation from 5 to 20%. The results of the simulation have shown too that fivefold increase/decrease of the time constant influences a little to the quality of regulation process. This fact is a main advantages of the proposed fuzzy controller technique.

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Correspondence to Bohdan Durnyak , Mikola Lutskiv , Petro Shepita or Vitalii Nechepurenko .

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Durnyak, B., Lutskiv, M., Shepita, P., Nechepurenko, V. (2020). Simulation of a Combined Robust System with a P-Fuzzy Controller. In: Lytvynenko, V., Babichev, S., Wójcik, W., Vynokurova, O., Vyshemyrskaya, S., Radetskaya, S. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2019. Advances in Intelligent Systems and Computing, vol 1020. Springer, Cham. https://doi.org/10.1007/978-3-030-26474-1_39

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