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A probabilistic framework to achieve robust non-fragile tuning methods: PD control of IPD-modeled processes
Bahavarnia, M ; Sharif University of Technology | 2021
307
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- Type of Document: Article
- DOI: 10.1002/rnc.5644
- Publisher: John Wiley and Sons Ltd , 2021
- Abstract:
- We introduce a novel probabilistic framework to achieve robust non-fragile tuning methods in control of processes with parametric uncertainties. We consider probability distributions to model the process parameters' uncertainties. First, we propose the tuning framework in a general setting. Then, as an illustration, we apply it to PD control of IPD-modeled processes. It is noteworthy that the proposed tuning method is robust against the considered parametric uncertainties. Also, to empower the proposed robust tuning method in the viewpoint of non-fragility, we utilize a centroid approach. Selecting the form of the probabilistic framework, we empirically observe some of the popular tuning methods are special cases of the proposed novel framework. Moreover, we theoretically/empirically make a comparison among the tuning methods in the literature based on non-fragility and robustness via such a probabilistic framework. © 2021 John Wiley & Sons Ltd
- Keywords:
- Probability distributions ; In-control ; Non-fragile ; Parametric uncertainties ; PD control ; Probabilistic framework ; Process parameters ; Robust tuning ; Tuning method ; Process control
- Source: International Journal of Robust and Nonlinear Control ; 2021 ; 10498923 (ISSN)
- URL: https://onlinelibrary.wiley.com/doi/10.1002/rnc.5644