Design and implementation of robust multivariable PI-like fuzzy logic controller for aerodynamic plant
by Snejana Yordanova; Elena Haralanova
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 3, No. 3/4, 2011

Abstract: Most modern plants are multivariable, non-linear and time-variant. Therefore, they are difficult to model and control especially when measurements are insufficient or imprecise due to variables interactions, disturbances and noise impact. A perspective model-free approach is based on fuzzy logic, which has proved efficient in ensuring both robust and economic control, employing linguistic expert knowledge in production of simple and feasible non-linear controllers that outperform their linear counterparts. The aim of this investigation and the main contributions are related to the development of a method for the design of multivariable robust fuzzy logic controllers and its implementation for the control of a laboratory-scale aerodynamic plant in real time using MATLAB.

Online publication date: Thu, 26-Mar-2015

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