Tuning of optimal fractional-order PID controller using an artificial bee colony algorithm
In this paper, the design of fractional-order PID controller is considered in order to minimize certain performance indices such as integral absolute error, integral square error and integral time absolute error. The design-construction leads to a high-dimensional, multi-modal, complex optimization...
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| Published in: | Systems science & control engineering Vol. 3; no. 1; pp. 99 - 105 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Taylor & Francis
01.01.2015
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| Subjects: | |
| ISSN: | 2164-2583, 2164-2583 |
| Online Access: | Get full text |
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| Summary: | In this paper, the design of fractional-order PID controller is considered in order to minimize certain performance indices such as integral absolute error, integral square error and integral time absolute error. The design-construction leads to a high-dimensional, multi-modal, complex optimization problem which is difficult to solve analytically. We show that it can be solved heuristically using an artificial bee colony (ABC) algorithm, which is a recently emerged 'stochastic' technique inspired from the intelligent foraging behavior of honey bee swarm. For the numerical examples under consideration, we further compare the performance of ABC with a 'deterministic' Nelder-Mead simplex algorithm. |
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| ISSN: | 2164-2583 2164-2583 |
| DOI: | 10.1080/21642583.2014.987480 |