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Vol. 163, Issue 1, January 2014, pp. 1-8

 

Bullet

 

Model Optimization Identification Method Based on Closed-loop Operation Data
and Process Characteristics Parameters
 

1 Zhiqiang GENG, 1 Runxue LI, 2 Xiangbai GU

1 College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029 China
2 Sinopec Engineering, Beijing 100029, China
2 Tel: +86-10-69166327, fax: +86-10-69196645

E-mail: guxb@sinopec.com

 

Received: 9 October 2013 /Accepted: 9 January 2014 /Published: 31 January 2014

Digital Sensors and Sensor Sysstems

 

Abstract: Output noise is strongly related to input in closed-loop control system, which makes model identification of closed-loop difficult, even unidentified in practice. The forward channel model is chosen to isolate disturbance from the output noise to input, and identified by optimization the dynamic characteristics of the process based on closed-loop operation data. The characteristics parameters of the process, such as dead time and time constant, are calculated and estimated based on the PI/PID controller parameters and closed-loop process input/output data. And those characteristics parameters are adopted to define the search space of the optimization identification algorithm. PSO-SQP optimization algorithm is applied to integrate the global search ability of PSO with the local search ability of SQP to identify the model parameters of forward channel. The validity of proposed method has been verified by the simulation. The practicability is checked with the PI/PID controller parameter turning based on identified forward channel model.

 

Keywords: Model optimization identification, Closed-loop operation data, Process characteristics parameters, PSO, SQP, PID tuning.

 

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