@inproceedings{db9970a9776e41458b1147d73dbe268d,
title = "A Fuzzy-PD controller optimized by artificial bee colony algorithm applied to a small-scale pasteurization plant",
abstract = "Optimization problems are widely used in numerous fields of science, engineering, and industry. On many occasions, such optimization problems involve a large number of decision variables and complex structured objectives. Applying fuzzy logic theory to the classical or traditional control strategies often requires the use of optimization techniques to shape the membership functions better. This paper presents a fuzzy-PD controller's design using an Artificial Bee Colony optimization algorithm, which is based on the intelligent foraging behavior of honeybee swarm. The proposed optimized controller is then applied to control the temperature of a heat exchanger in a scale pasteurization plant. The simulation results obtained are finally compared with those obtained by a classical PID controller and a non-optimized fuzzy PD+I controller.",
keywords = "ABC algorithm, Artificial Bee Colony, Control Plant, Fuzzy Controller, Fuzzy Logic, PID",
author = "Andres Arostegui and Benitez, \{Diego S.\} and Luis Caiza",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE ANDESCON, ANDESCON 2020 ; Conference date: 13-10-2020 Through 16-10-2020",
year = "2020",
month = oct,
day = "13",
doi = "10.1109/ANDESCON50619.2020.9272184",
language = "Ingl{\'e}s",
series = "2020 IEEE ANDESCON, ANDESCON 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE ANDESCON, ANDESCON 2020",
}