Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/56946
Title: Optimal Smith-predictor design based on a GPC approach
Authors: Tan, K.K. 
Lee, T.H. 
Leu, F.M. 
Issue Date: 6-Mar-2002
Source: Tan, K.K.,Lee, T.H.,Leu, F.M. (2002-03-06). Optimal Smith-predictor design based on a GPC approach. Industrial and Engineering Chemistry Research 41 (5) : 1242-1248. ScholarBank@NUS Repository.
Abstract: In this paper, an optimal Smith-predictor design based on a generalized predictive control (GPC) approach is developed. The basic idea is to back-calculate the Smith control parameters based on the GPC control law, which has been designed to minimize a cost function. The design has turned out to be very simple to use. With a second-order model, the primary controller is simply a PID control. With a first-order model, it is a PI controller. The relationship between the control parameters obtained via the GPC approach and a pole placement approach is derived so that the latter approach may be used to derive initial GPC weights for further fine-tuning. Simulation and a real-time experiment illustrate the performance of the thus-designed optimal Smith control system.
Source Title: Industrial and Engineering Chemistry Research
URI: http://scholarbank.nus.edu.sg/handle/10635/56946
ISSN: 08885885
Appears in Collections:Staff Publications

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