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

• Main Authors: Zhiqiang GENG, Runxue LI, Xiangbai GU
• Format: Article
• Language: English
• Published: IFSA Publishing, S.L. 2014-01-01
• Series: Sensors & Transducers
• Subjects: Model optimization identification; Closed-loop operation data; Process characteristics parameters; PSO; SQP; PID tuning.
• Online Access: http://www.sensorsportal.com/HTML/DIGEST/january_2014/Vol_163/P_1791.pdf
• ISSN: 2306-8515; 1726-5479

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.