Design and Experimental Evaluation of a Data-Based Self-Tuning PID Controller
| Authors: | Takao Kenji, Hiroshima Univ., Japan
Yamamoto Toru, Hiroshima Univ., Japan
Hinamoto Takao, Hiroshima Univ., Japan |
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| Topic: | 6.1 Chemical Process Control |
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| Session: | Advances in Process Control |
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| Keywords: | Data-based modeling, PID control, Intelligent control, Nonlinear control, Process control |
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Abstract
PID controllers have been widely employed for industrial processes. Although most process systems have nonlinear properties, the effective PID parameters tuning method for nonlinear systems have not been established yet.Therefore, in this paper, a new tuning method of PID parameters is proposed for nonlinear systems using the idea of a data-based modeling method. According to the proposed method, PID parameters can be adequately tuned by input/output data of the controlled object stored recursively in the data-base.Finally, this method is experimentally evaluated on a temperature control system.
