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A novel bacterial foraging algorithm for automated tuning of PID controllers of UAVs

Oyekan, J and Hu, H (2010) A novel bacterial foraging algorithm for automated tuning of PID controllers of UAVs. In: UNSPECIFIED, ? - ?.

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Abstract

Up to now, PID controllers have been widely deployed in Unmanned Aerial Vehicles (UAVs) and other automatical control systems, and have the benefit of simple tuning performed by trial and error. Their applications avoid some complicated modeling efforts however tuning these controllers do need experienced operators and may sometimes be time consuming. This paper presents a novel approach that could be used for the automatic tuning of a PID controller for a UAV. This approach relies on the bacteria foraging technique to guide the search for the optimal parameters of a PID controller in the parameters search space. Experimental results show that the proposed approach is able to improve the parameters chosen by the classical Ziegler Nicholas method. ©2010 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2010 IEEE International Conference on Information and Automation, ICIA 2010
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 17 Dec 2014 11:27
Last Modified: 23 Jan 2019 00:17
URI: http://repository.essex.ac.uk/id/eprint/9085

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