Nash-optimization enhanced distributed model predictive control applied to the Shell benchmark problem

Authors:
Shaoyuan Li;Yan Zhang;Quanmin Zhu
Affiliations:
Institute of Automation, Shanghai Jiao Tong University, 1954 Hua Shan Road, Shanghai 200030, PR China;Institute of Automation, Shanghai Jiao Tong University, 1954 Hua Shan Road, Shanghai 200030, PR China;Faculty of CEMS, University of the West of England, Coldharbour Lane, Bristol BS16 1QY, UK
Venue:
Information Sciences—Informatics and Computer Science: An International Journal
Year:
2005

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Abstract

This paper presents an efficient distributed model predictive control scheme based on Nash optimality, in which the on-line optimization of the whole system is decomposed into that of several small co-operative agents in distributed structures, thus it can significantly reduce computational complexity in model predictive control of large-scale systems. The relevant nominal stability and the performance on single-step horizon under the communication failure are investigated. The Shell heavy oil fractionator benchmark control problem is illustrated to verify the effectiveness of the proposed control algorithm.