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Constrained L1 adaptive control for a class of systems with matched disturbance using online optimization
HAN Siwei 1 #,MA Tong 2,SHEN Jiong 1 *,PAN Lei 1,Chengyu CAO 2
1.School of Energy and Environment, Southeast University
2.Department of Mechanical Engineering, University of Connecticut, USA
*Correspondence author
#Submitted by
Subject:
Funding: Specialized Research Fund for the Doctoral Program of Higher Education(No.No.20130092110061)
Opened online:27 April 2017
Accepted by: none
Citation: HAN Siwei,MA Tong,SHEN Jiong.Constrained L1 adaptive control for a class of systems with matched disturbance using online optimization[OL]. [27 April 2017] http://en.paper.edu.cn/en_releasepaper/content/4727826
 
 
This paper presents an improvement of L1 adaptive controller to deal with system constraints. By defining an ideal system without disturbance, the original control problem is divided into a disturbance rejection problem and a tracking problem. For the disturbance rejection, the conventional L1 adaptive control is reserved to cancel the effects of disturbance with guaranteed transient performance, while the tracking control signal is produced by introducing a model predictive control (MPC) mechanism. The MPC control uses the ideal system which is guaranteed by the L1 adaptive control as its predictive model, solving a receding horizon optimization problem online with system constraint condition satisfied. Simulation result shows the effectiveness of this approach.
Keywords:Automation Technology; L1 Adaptive Control; Disturbance Rejection; Online Optimization
 
 
 

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