Please use this identifier to cite or link to this item: https://doi.org/10.1021/ie801227d
Title: Adaptive PID controller design for nonlinear systems
Authors: Nuella, I.
Cheng, C.
Chiu, M.-S. 
Issue Date: 20-May-2009
Citation: Nuella, I., Cheng, C., Chiu, M.-S. (2009-05-20). Adaptive PID controller design for nonlinear systems. Industrial and Engineering Chemistry Research 48 (10) : 4877-4883. ScholarBank@NUS Repository. https://doi.org/10.1021/ie801227d
Abstract: In this paper, an adaptive proportional-integral-derivative (PID) controller design is proposed for nonlinear process control. In the proposed method, a controller database is constructed to store the PID parameters previously implemented together with their corresponding information vectors, while another modeling database is utilized by the just-in-time learning technique for modeling purpose. The PID parameters are obtained from controller database according to the current process dynamics characterized by the information vector at each sampling instance. Moreover, these PID parameters can be further fine-tuned, whenever required, and the resulting PID parameters together with the associated information vector are stored into controller database to improve it for operating conditions where the relevant information is not available in the construction of initial controller database. Simulation results are presented to illustrate the proposed adaptive PID design and its effectiveness is evaluated through comparison with its conventional counterpart. © 2009 American Chemical Society.
Source Title: Industrial and Engineering Chemistry Research
URI: http://scholarbank.nus.edu.sg/handle/10635/63437
ISSN: 08885885
DOI: 10.1021/ie801227d
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