Fault tolerant shape control for particulate process systems under simultaneous actuator and sensor faults

被引：6
|
作者：
Li, Gang [1 ]
Li, Tao [2 ]
Zhao, Qing [1 ]
机构：
[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada
[2] Nanjing Univ Informat Sci & Technol, Sch Informat & Control, Nanjing 210044, Jiangsu, Peoples R China
来源：
IET CONTROL THEORY AND APPLICATIONS | 2017年 / 11卷 / 15期
基金：
加拿大自然科学与工程研究理事会;
关键词：
PARTICLE-SIZE DISTRIBUTION; MODEL-PREDICTIVE CONTROL; MARKOVIAN JUMP SYSTEMS; STOCHASTIC-SYSTEMS; NONLINEAR-SYSTEMS; TRACKING CONTROL; OBSERVER DESIGN; LINEAR-SYSTEMS; DIAGNOSIS; STATE;
D O I：
10.1049/iet-cta.2016.1464
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of fault tolerant shape control for particle size distribution (PSD) process subject to simultaneous time-varying actuator and sensor faults is studied. In this work, sensor and actuator faults are taken into consideration in a unified framework, and estimated by using adaptive observer technique. For the PSD process, the output distribution, rather than the system output signal itself, is adopted for shape control. Square root rational B-spline approximation is used to fit the distribution shape. An innovative on-line fault estimation scheme is proposed for simultaneous actuator and sensor faults estimation. Then an augmented controller based on the virtual actuator and virtual sensor techniques is designed to compensate for the faults and realise PSD shape tracking. A simulation example of emulsion polymerisation is used to validate the proposed scheme and satisfactory performance is obtained.
引用
收藏
页码：2448 / 2457
页数：10
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