Abstract
In this chapter we present on line tuning of PID controller through bio-mimicry of bacteria foraging. Genetic Algorithm is currently a standard for optimization. Biomimicry is a new technique proposed for optimization by Kevin M. Passino of Ohio State University, Ohio. A comparison of famous Genetic Algorithm with bio-mimicry of bacteria foraging has been made. This comparison is done by comparing their application to the problem of tuning a PID controller. In this chapter we observe that bio-mimicry is equally applicable to the problem of control system design (here tuning PID controller). The results of bio-mimicry algorithm are better than to that of genetic algorithm.
Original language | English |
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Title of host publication | Focus on Information, Intelligence and Knowledge |
Publisher | Nova Science Publishers, Inc. |
Pages | 71-86 |
Number of pages | 16 |
ISBN (Print) | 9781612099798 |
Publication status | Published - 2011 |
Externally published | Yes |
Keywords
- Bacteria foraging
- Genetic algorithm
- On line tuning
- PID
ASJC Scopus subject areas
- General Computer Science