A linear quadratic structure based predictive functional control design for industrial processes against partial actuator failures

被引：16
作者：
Tao, Jili [1 ]
Yu, Zaihe [1 ]
Zhu, Yong [1 ]
Ma, Longhua [1 ]
机构：
[1] Zhejiang Univ, Ningbo Inst Technol, Ningbo 315100, Zhejiang, Peoples R China
来源：
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2015年 / 146卷
基金：
中国国家自然科学基金;
关键词：
Predictive functional control; Linear quadratic control; Injection molding process; State space model; Partial actuator failures; ITERATIVE LEARNING CONTROL; STATE-VARIABLE FEEDBACK; GUARANTEED COST CONTROL; FAULT-TOLERANT CONTROL; DISCRETE-TIME-SYSTEMS; PLUS PIP CONTROL; BATCH PROCESSES; MODEL; TEMPERATURE; OUTPUT;
D O I：
10.1016/j.chemolab.2015.05.026
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An improved predictive functional control (PFC) scheme is proposed for linear processes to compensate for partial actuator failures. First, a new state space Model based on the process state and output error variables is derived to provide more information of the system. The PFC is then designed through a linear quadratic form that makes the controller optimal. Thus, the control performance can be improved under partial actuator faults and unknown disturbances. Finally, an injection molding process is adopted to illustrate the feasibility and effectiveness of the proposed scheme. Simulation results show that satisfactory control performance can be obtained by comparing with traditional PFC. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：263 / 269
页数：7
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