Please use this identifier to cite or link to this item:
Title: Adaptive PID controller design for nonlinear systems
Authors: Nuella, I.
Cheng, C.
Chiu, M.-S. 
Issue Date: 20-May-2009
Source: 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.
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
ISSN: 08885885
DOI: 10.1021/ie801227d
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Dec 6, 2017


checked on Nov 22, 2017

Page view(s)

checked on Dec 17, 2017

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.