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作 者:Ruichun TANG Xianmin LU Yili ZHAI Cunqun GONG
机构地区:[1]College of Information Science and Engineering, Ocean University of China, Qingdao Shandong 266100, China [2]Hisense TransTech Co., Ltd., Qingdao Shandong 266101, China [3]Qing Dao Haier Electronic Ltd., Qingdao Shandong 266101, China
出 处:《控制理论与应用(英文版)》2010年第4期515-520,共6页
基 金:supported by the National Natural Science Foundation of China(No.60574023);the Natural Science Foundation of Shandong Province(No.Z2005G01)
摘 要:This paper studies the optimal control with zero steady-state error problem for nonlinear large-scale systems affected by external persistent disturbances.The nonlinear large-scale system is transformed into N nonlinear subsystems with interconnect terms.Based on the internal model principle,a disturbance compensator is constructed such that the ith subsystem with external persistent disturbances is transformed into an augmented subsystem without disturbances.According to the sensitivity approach,the optimal tracking control law for the ith nonlinear subsystem can be obtained.The optimal tracking control law for the nonlinear large-scale systems can be obtained.A numerical simulation shows that the method is effective.This paper studies the optimal control with zero steady-state error problem for nonlinear large-scale systems affected by external persistent disturbances.The nonlinear large-scale system is transformed into N nonlinear subsystems with interconnect terms.Based on the internal model principle,a disturbance compensator is constructed such that the ith subsystem with external persistent disturbances is transformed into an augmented subsystem without disturbances.According to the sensitivity approach,the optimal tracking control law for the ith nonlinear subsystem can be obtained.The optimal tracking control law for the nonlinear large-scale systems can be obtained.A numerical simulation shows that the method is effective.
关 键 词:Nonlinear systems Large-scale systems Persistent disturbances Optimal tracking control Sensitivity approach
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