Predictive Control Based on Fuzzy Supervisor for PWARX Hybrid Model
Olfa Yahya; Zeineb Lassoued; Kamel Abderrahim
刊名International Journal of Automation and Computing
2019
卷号16期号:5页码:683-695
关键词Nonlinear control hybrid systems mixed logical dynamic (MLD) model predictive control fuzzy supervisor.
ISSN号1476-8186
DOI10.1007/s11633-018-1148-5
英文摘要In this paper, the problem of hybrid model predictive control (HMPC) strategy based on fuzzy supervisor for piecewise autoregressive with exogenous input (PWARX) models is addressed. We first represent the nonlinear behavior of the system with a PWARX model. Then, we transform the obtained PWARX model into a mixed logical dynamic (MLD) model in order to apply the proposed predictive control which is able to stabilize such systems along desired reference trajectories while satisfying operating constraints. Finally, we propose to introduce a fuzzy supervisor allowing the readjustment of the HMPC tuning parameters in order to maintain the desired performance. Simulation and experimental results are presented to illustrate the effectiveness of the proposed approach.
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/42367]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位Numerical Control of Industrial Processes, National Engineering School of Gabes, University of Gabes, Gabes 6029, Tunisia
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Olfa Yahya,Zeineb Lassoued,Kamel Abderrahim. Predictive Control Based on Fuzzy Supervisor for PWARX Hybrid Model[J]. International Journal of Automation and Computing,2019,16(5):683-695.
APA Olfa Yahya,Zeineb Lassoued,&Kamel Abderrahim.(2019).Predictive Control Based on Fuzzy Supervisor for PWARX Hybrid Model.International Journal of Automation and Computing,16(5),683-695.
MLA Olfa Yahya,et al."Predictive Control Based on Fuzzy Supervisor for PWARX Hybrid Model".International Journal of Automation and Computing 16.5(2019):683-695.
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