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Genetic Tuning Scheme of PID Parameters for FirstOrder Systems with Large Dead Times
Yasue MITSUKURA Toru YAMAMOTO Masahiro KANEDA
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E83A
No.4
pp.740746 Publication Date: 2000/04/25 Online ISSN:
DOI: Print ISSN: 09168508 Type of Manuscript: PAPER Category: Systems and Control Keyword: PID control, generalized minimum variance control, process control, genetic algorithm,
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Summary:
PID control schemes have been widely used in most of process control systems. Most of these processes are often treated as firstorder systems with dead times. And also, in many cases, PID parameters are usually tuned based on the process parameters, i. e. , the time constant, the dead time and the process gain. However, since these process parameters can not be obtained exactly, it is well known that it is difficult to find the suitable PID parameters in practice. In this paper, we propose a genetic tuning scheme of PID parameters for firstorder systems with large dead times. The authors have already proposed a tuning method of PID parameters using a genetic algorithm (GA), which was based on the relationship between PID control and generalized minimum variance control(GMVC) laws. In practice, for large dead time systems, firstorder low pass prefilters are often used. The proposed method is an extended version of the previously proposed method mentioned above to the system with a prefilter due to the large dead time, i. e. , a tuning method of both PID parameters and the prefilter using a GA. The proposed control scheme is numerically evaluated on some simulation examples.


