Comparison of auto-tuning methods of PID controllers based on models and closed-loop data

Due to changes of operating condition in industrial processes, it is necessary to tune the PID parameters to fulfill the requirement of production. The auto-tuning technology of PID controllers effectively overcomes the shortcomings of human tuning which is time consuming. In this paper several auto...

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Bibliographic Details
Published inProceedings of the 33rd Chinese Control Conference pp. 3661 - 3667
Main Authors Zhang Wei, Yang Maying
Format Conference Proceeding
LanguageEnglish
Published TCCT, CAA 01.07.2014
Subjects
Abstracts
Data models
Data-driven Methods
Educational institutions
Electronic mail
Fractional Order PID Controller
PID Auto-tuning
Process control
Relay Feedback
Tuning
Zinc
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Summary:Due to changes of operating condition in industrial processes, it is necessary to tune the PID parameters to fulfill the requirement of production. The auto-tuning technology of PID controllers effectively overcomes the shortcomings of human tuning which is time consuming. In this paper several auto-tuning PID methods are discussed and compared, including Ziegler-Nichols tuning, Kappa-Tau method, IMC-PID auto-tuning, auto-tuning of fractional PID controller and data-based FRIT method. Furthermore, the illustrative examples and simulation results are also given. In this way this paper aims to provide useful references and suggestions for practical auto-tuning methods.
ISSN:2161-2927
DOI:10.1109/ChiCC.2014.6895548