上海交通大学学报(英文版) ›› 2014, Vol. 19 ›› Issue (6): 747-754.doi: 10.1007/s12204-014-1575-6

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Distributed Model Predictive Control with One-Step Delay Communication for Large-Scale Systems and a Case Study

ZHANG Yan* (张艳), XU Cheng (徐成)   

  1. (Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, China)
  • 出版日期:2014-12-31 发布日期:2014-12-08
  • 通讯作者: ZHANG Yan (张艳) E-mail:zhangyan@shmtu.edu.cn

Distributed Model Predictive Control with One-Step Delay Communication for Large-Scale Systems and a Case Study

ZHANG Yan* (张艳), XU Cheng (徐成)   

  1. (Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, China)
  • Online:2014-12-31 Published:2014-12-08
  • Contact: ZHANG Yan (张艳) E-mail:zhangyan@shmtu.edu.cn

摘要: A distributed model predictive control (MPC) scheme with one-step delay communication is proposed for on-line optimization and control of large-scale systems in this paper. Cooperation between subsystems is achieved by exchanging information with neighbor-to-neighbor communication and by optimizing the local problem with the improved performance index in the neighborhood. A distributed MPC algorithm with one-step delay communication is developed for the situation that there is a one-step delay in the information available from its neighbors when a subsystem solves the local optimization problem. The nominal stability is employed for the whole system under the distributed MPC algorithm without the inequality constraints. Finally, the case study of the reactor-storage-separator (RSS) system is illustrated to test the practicality of the presented control algorithm.

关键词: large-scale systems, model predictive control (MPC), exchange information, one-step delay communication, reactor-storage-separator (RSS)

Abstract: A distributed model predictive control (MPC) scheme with one-step delay communication is proposed for on-line optimization and control of large-scale systems in this paper. Cooperation between subsystems is achieved by exchanging information with neighbor-to-neighbor communication and by optimizing the local problem with the improved performance index in the neighborhood. A distributed MPC algorithm with one-step delay communication is developed for the situation that there is a one-step delay in the information available from its neighbors when a subsystem solves the local optimization problem. The nominal stability is employed for the whole system under the distributed MPC algorithm without the inequality constraints. Finally, the case study of the reactor-storage-separator (RSS) system is illustrated to test the practicality of the presented control algorithm.

Key words: large-scale systems, model predictive control (MPC), exchange information, one-step delay communication, reactor-storage-separator (RSS)

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