NDLI: Research on PID tuning of servo-system based on Bacterial Foraging Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Hongwei Mo Yujing Yin
Copyright Year	2011
Description	Author affiliation: Automation College, Harbin Engineering University, 15001, China (Yujing Yin) \|\| Automation College, Harbin Engineering University, 150001, China (Hongwei Mo)
Abstract	PID controller is one of the most widely used strategies in the field of control engineering, but it is difficult to achieve the effect that people expect by the conventional PID controllers. For a long time, researchers are working on the parameter tuning of PID technology, and propose a lot of algorithms. In this paper, we have studied an intelligent algorithm inspired by nature — the Bacterial Foraging Algorithm. Four benchmark functions are used to test this algorithm, and an analysis of the global search capability of this algorithm is made. Then,we apply this algorithm to a high-speed and high-precision servo system of fourth order model of PID parameter tuning. The tuning results compared with that of the standard genetic algorithm show that Bacterial Foraging Algorithm is effective in the problem of PID optimization and can be more precision.
Starting Page	1758
Ending Page	1762
File Size	417454
Page Count	5
File Format	PDF
ISBN	9781424499502
ISSN	21579563
e-ISBN	9781424499533
DOI	10.1109/ICNC.2011.6022519
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Microorganisms high-speed and high-precision servo systems Process control Educational institutions PID control Servomotors Optimization Tuning Bacterial Foraging Algorithm
Content Type	Text
Resource Type	Article

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