Please use this identifier to cite or link to this item: https://doi.org/10.1109/AIM.2013.6584215
Title: PID gain scheduling by parametric model predictive control
Authors: Nguyen, M.H.-T.
Tan, K.K. 
Teo, C.S.
Issue Date: 2013
Source: Nguyen, M.H.-T.,Tan, K.K.,Teo, C.S. (2013). PID gain scheduling by parametric model predictive control. 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013 : 944-948. ScholarBank@NUS Repository. https://doi.org/10.1109/AIM.2013.6584215
Abstract: This paper considers the problem of augmenting the PID structure with the MPC functionality of constraint handling and optimization. Firstly, we review the MPC framework which can be built from a model and a linear feedback gain. This linear gain can be any preexisting multi-loop PID design in the unconstrained case, or based on the two stabilizing PI/PID design for multivariable systems we introduce here. The resulting controller is a feedforward PID mapping, a straightforward form without the need of tuning PID to fit an optimal input. Secondly, the parametric solution of MPC further suggests a PID network implementation by utilizing gain scheduling schemes available in industry. © 2013 IEEE.
Source Title: 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/71445
ISBN: 9781467353199
DOI: 10.1109/AIM.2013.6584215
Appears in Collections:Staff Publications

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