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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A novel fast model predictive control with actuator saturation for large-scale structures

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论文类型:期刊论文

发表时间:2017-07-15

发表刊物:COMPUTERS & STRUCTURES

收录刊物:SCIE、EI、Scopus

卷号:187

页面范围:35-49

ISSN号:0045-7949

关键字:Large-scale structures; Actuator saturation; Fast model predictive control; Explicit expression form; Quadratic programming; Linear complementary

摘要:One of the most critical issues faced in the application of active control to engineering structures is actuator saturation. In this paper, a novel fast model predictive control with actuator saturation for large-scale structures is proposed. First, based on the second-order dynamic equation, the explicit expression form of the Newmark-beta method is derived. Then, according to the parametric variational principle, the explicit structure of the model predictive control (MPC) saturation controller is obtained. A linear complementary problem for the proposed fast MPC saturation controller is developed, replacing the quadratic programming problem for the original MPC saturation controller. The optimal control input can be achieved by solving one linear complementarity problem and one transient analysis problem. Particularly, the physical meaning of the explicit expression form of the Newmark-beta method is discovered and applied for increasing computational efficiency and saving memory. Finally, numerical simulations of a plane adjacent frame building subjected to earthquake ground motion demonstrate that the proposed fast MPC saturation controller is highly efficient and can be applied under a large step length, especially for large-scale structural dynamic control problems. (C) 2017 Elsevier Ltd. All rights reserved.