Constrained nonlinear MPC for accelerated tracking piece-wise references and its applications to thermal systems
Defeng He1
Qingsong Wang1
Ping Han1
Haiping Du2
1.College of Information Engineering,Zhejiang University of Technology,Hangzhou 310023,Zhejiang,China2.School of Electrical,Computer and Telecommunications Engineering,University of Wollongong,Wollongong,NSW 2522,Australia
摘要：In this paper, we propose a model predictive control (MPC) strategy for accelerated offset-free tracking piece-wise constant reference signals of nonlinear systems subject to state and control constraints. Some special contractive constraints on tracking errors and terminal constraints are embedded into the tracking nonlinear MPC formulation. Then, recursive feasibility and closed-loop convergence of the tracking MPC are guaranteed in the presence of piece-wise references and constraints by deriving some sufficient conditions. Moreover, the local optimality of the tracking MPC is achieved for unreachable output reference signals. By comparing to traditional tracking MPC, the simulation experiment of a thermal system is used to demonstrate the acceleration ability and the effectiveness of the tracking MPC scheme proposed here.
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论文发表日期：2022-02-05
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：11( 69-79 )
英文信息