Open AccessImplementation of a Fuzzy Logic Controller for an Aerothermic Process
Author(s) -
Driss Khouili*,
Mustapha Ramzi
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8123.019320
Subject(s) - fuzzy logic , computer science , control engineering , controller (irrigation) , control theory (sociology) , exploit , fuzzy control system , process (computing) , set (abstract data type) , control system , fuzzy electronics , control (management) , neuro fuzzy , engineering , artificial intelligence , agronomy , computer security , electrical engineering , biology , programming language , operating system
The objective of any controller design is to maintain the set point value despite its variation, with a good rejection of various disturbances that can infect the system to be controlled and to minimize the energy consumption. To achieve these objectives, several control methods are proposed in the literature. Nevertheless, due to the non-linear behaviour of most industrial systems, fuzzy logic control remains the most appropriate method to control this type of system. This article compares two fuzzy logic control techniques having two inputs and one output. These methods are applied to an aerothermic process in our laboratory. The obtained experimental results allowed us to achieve the main control objectives, such asset-point trackingand regulation. These results encouraged us to exploit the advantage of each technique, in order to make the controller design simpler and to minimize the time required to calculate the command applied to the process.