NDLI: Distributed Model Predictive Control for networks with limited control communication

Content Provider	IEEE Xplore Digital Library
Author	Jalal, R.E. Rasmussen, B.P.
Copyright Year	2014
Description	Author affiliation: Mech. Eng., Texas A&M Univ., College Station, TX, USA (Rasmussen, B.P.) \|\| Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA (Jalal, R.E.)
Abstract	Heating, ventilation, and air conditioning (HVAC) systems in large buildings frequently feature physical interactions where the outputs of each dynamic subsystem act as disturbances to other subsystems in its neighborhood. Centralized control of such interconnected systems is usually not practical due to the large communication burden, while decentralized control may achieve the non-optimal performance as they don't account for system interactions. In this paper, a Neighbor-Communication based Distributed Model Predictive Control (NC-DMPC) framework is described that can handle such systems. Along some prediction horizons, the optimizer of each subsystem communicates its predicted optimum setpoints to its neighbors in addition to the costs imposed by the neighbor's predicted setpoints. Since there are different interconnected subsystems with different prediction and control horizons, each subsystem's optimizer considers the effects from its upstream neighbors only along its own prediction horizons (state and control horizons). In the proposed NC-DMPC framework, communication between all plants is not necessary to achieve a global optimum. Convergence to Pareto optimal trajectories for the proposed NC-DMPC is proved and a numerical example is used to demonstrate this aspect.
Starting Page	3615
Ending Page	3620
File Size	877942
Page Count	6
File Format	PDF
ISBN	9781479932726
ISSN	07431619
e-ISBN	9781479932740
DOI	10.1109/ACC.2014.6859045
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Convergence Distributed algorithms Control systems Silicon Large scale systems Control applications Predictive control for nonlinear systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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