Fractional Order Distributed Model Predictive Control of Fast and Strong Interacting Systems

Chi，Chuanguo1,2; Cajo，Ricardo3; Zhao，Shiquan4; Liu，Guo Ping1,5; Ionescu，Clara Mihaela2,6,7,8

2022-04-01

10.3390/fractalfract6040179

Fractal and Fractional   影响因子和分区

2504-3110

Fast and strong interacting systems are hard to control from both performance and control effort points of view. Moreover, multiple objective functions or objectives with various identifiers of varying weights can hold unfeasible solutions at times. A novel cost objective function is proposed here to overcome both feasibility set limitations and computational burdens. An application example is used to illustrate its added value, which is a fast and strong interacting multivariable system: a landscape office lighting regulatory problem. New lighting technology and an intelligent control system have been produced to improve control accuracy and reduce power consumption. While optimizing the hardware of the lighting system, the energy consumption can be further reduced by applying advanced control strategy in the lighting system. This paper designed a fractional order distributed model predictive control (FOMPC) scheme to realize the reference tracking and stability control of multiple illuminations at the same time. In order to test the efficiency of the control strategy, an experiment was carried out on the lighting setup based on the dSPACE control system. The FOMPC scheme was analyzed through simulation and lighting experiments based on the dSPACE control system. Through a comparison with the mode predictive control (MPC) scheme, the superiority of the FOMPC scheme for the dynamic behavior and control performance of multiple lighting systems was verified. The research results provide a basis for multiple lighting control and its application.

dSPACE controller fractional order cost function model predictive control multi-objective system multiple lighting control

SCI

英语

其他

China Scholarship Council[202106120085];

Mathematics

Mathematics, Interdisciplinary Applications

WOS:000785562200001

MDPI

2-s2.0-85127801964

Scopus

1.School of Astronautics,Harbin Institute of Technology,Harbin,150001,China
2.Research Group on Dynamical Systems and Control,Department of Electromechanical,Systems and Metal Engineering,Ghent University,Ghent,B-9052,Belgium
3.Facultad de Ingeniería en Electricidad y Computación,Escuela Superior Politécnica del Litoral,ESPOL,Guayaquil,Campus Gustavo Galindo Km 30.5 Vía Perimetral, P.O. Box 09-01-5863,090150,Ecuador
4.College of Intelligent Systems Science and Engineering,Harbin Engineering University,Harbin,150001,China
5.Department of Electronic and Electrical Engineering,Southern University of Science and Technology,Shenzhen,518055,China
6.EEDT Decision & Control,Flanders Make,Ghent,B-9052,Belgium
7.Department of Automation,Technical University of Cluj-Napoca,Cluj-Napoca,Memorandumului Street No. 28,400114,Romania
8.Physiological Controls Research Center,Research and Innovation Center of Obuda University,Budapest,1034,Hungary

Chi，Chuanguo,Cajo，Ricardo,Zhao，Shiquan,et al. Fractional Order Distributed Model Predictive Control of Fast and Strong Interacting Systems[J]. Fractal and Fractional,2022,6(4).

Chi，Chuanguo,Cajo，Ricardo,Zhao，Shiquan,Liu，Guo Ping,&Ionescu，Clara Mihaela.(2022).Fractional Order Distributed Model Predictive Control of Fast and Strong Interacting Systems.Fractal and Fractional,6(4).

Chi，Chuanguo,et al."Fractional Order Distributed Model Predictive Control of Fast and Strong Interacting Systems".Fractal and Fractional 6.4(2022).