彭海军

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:力学与航空航天学院

学科:动力学与控制. 计算力学. 工程力学

电子邮箱:hjpeng@dlut.edu.cn

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Symplectic method based on generating function for receding horizon control of linear time-varying systems

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论文类型:期刊论文

发表时间:2017-01-01

发表刊物:EUROPEAN JOURNAL OF CONTROL

收录刊物:SCIE、EI

卷号:33

页面范围:24-34

ISSN号:0947-3580

关键字:Receding horizon control; Generating functions; Linear time-varying systems; Hamiltonian systems; Symplectic method

摘要:A novel method for solving the linear receding-horizon control (RHC) problem with time-varying coefficients is proposed based on a generating function and the standard symplectic form of Hamiltonian systems. In contrast to other methods used to solve the linear RHC problem, the generating function is utilized to avoid directly online integrating the differential Riccati equation (DRE). Solutions to the DRE at discrete time points have been obtained by applying the generating function at each computation step. The derivation of the coefficient includes calculating the state transition matrices of the linear Hamiltonian system using the Magnus method, which preserves the symplectic structure of the Hamiltonian system. Numerical simulations of spacecraft rendezvous demonstrate that the proposed symplectic method obtains highly precise results for relatively long discretization sizes, and then yields computational efficiency improvements of one to two orders of magnitude compared with conventional backward sweep methods and the Legendre pseudospectral methods. (C) 2016 European Control Association. Published by Elsevier Ltd. All rights reserved.