DISOPE distributed model predictive control of cascade systems with network communication
Yan ZHANG
Shaoyuan LI
摘要：A novel distributed model predictive control scheme based on dynamic integrated system optimization and parameter estimation (DISOPE) was proposed for nonlinear cascade systems under network environment.Under the distributed control structure,online optimization of the cascade system was composed of several cascaded agents that can cooperate and exchange information via network communication.By iterating on modified distributed linear optimal control problems on the basis of estimating parameters at every iteration the correct optimal control action of the nonlinear model predictive control problem of the cascade system could be obtained,assuming that the algorithm was convergent.This approach avoids solving the complex nonlinear optimization problem and significantly reduces the computational burden.The simulation results of the fossil fuel power unit are illustrated to verify the effectiveness and practicability of the proposed algorithm.
机标关键词：network communicationcascade systemsmodel predictive controloptimal controlnonlinear optimization problemparameter estimationexchange informationdistributed control
分类号：TP13(自动化基础理论)TL361(核反应堆工程)
资助基金：国家自然科学基金(60474051)教育部高等学校博士学科点专项科研基金(20020248028)
论文发表日期：2005-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 131-138 )
英文信息