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Advances in Fuzzy Systems - Volume 2014 2014, Article ID 758207, 5 pages -

Research ArticleLviv Polytechnic National University, 12 Bandery Street, Lviv 79026, Ukraine

Received 18 July 2014; Accepted 5 November 2014; Published 19 November 2014

Academic Editor: Ning Xiong

Copyright © 2014 Andrew Lozynskyy and Lyubomyr Demkiv. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A two-mass fuzzy control system is considered. For fuzzification process, classical both linear and nonlinear membership functions are used. To find optimal values of membership function’s parameters, genetic algorithm is used. To take into account values of both output and intermediate parameters of the system, a penalty function is considered. Research is conducted for the case of speed control system and displacement control system. Obtained results are compared with the case of the system with classical, crisp controller.





Autor: Andrew Lozynskyy and Lyubomyr Demkiv

Fuente: https://www.hindawi.com/



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