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JACIII Vol.20 No.2 pp. 271-278
doi: 10.20965/jaciii.2016.p0271
(2016)

Paper:

A Self-Tuning PID Control System Based on Control Performance Assessment

Weihua Cao*, †, Xuemin Hu**, Min Wu*, and Wei Yin**

*School of Automation, China University of Geosciences
Wuhan 430074, China
**Department of Information Science and Engineering, Central South University
Changsha 410083, China
Corresponding author

Received:
November 10, 2015
Accepted:
December 10, 2015
Online released:
March 18, 2016
Published:
March 20, 2016
Keywords:
performance assessment, impulse response matrix identification, time-variant system, self-tuning
Abstract

A Quasi-Newton iterative method is developed for the calculation of the best achievable PID control performance and the corresponding optimal PID setting based on the control parameters and input-output data. At the basis of the proposed method, a self-tuning PID control system is proposed for the time-variant dynamic process. When controllers performance deteriorates below the general performance, controller parameters are directly adjusted with the Quasi-Newton iterative method. When below the poor performance, it can be indirectly adjusted with the identification of the closed-loop impulse response matrix. A data-driven solution is developed for calculation of the closed-loop impulse response matrix. Based on the acquired state information, system is assessed and adjusted cyclically so that a self-tuning PID control system is finally realized. Simulation results show the practicality and utility of this method.

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Last updated on May. 29, 2017