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|Title:||PID gain scheduling by parametric model predictive control||Authors:||Nguyen, M.H.-T.
|Issue Date:||2013||Citation:||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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