Robust Observer-Based Actuator and Sensor Fault Estimation for Discrete-Time Systems

Journal of control, automation and electrical systems

article

Chaves, Emanoel R. Q.¹  Dantas, André F. O. de A.²  Maitelli, André L.¹ 

[1] Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte - UFRN;Potiguar University - UnP

关键词: Fault estimation;    Discrete-time system;    Robust control;    Linear matrix inequality (LMI);    Unknown input observer (UIO);   

DOI  :  10.1007/s40313-018-00435-w

学科分类：自动化工程

来源: Springer

【 摘 要 】

In this paper, a robust fault estimation method based on unknown input observer (UIO) is proposed to estimate states, actuator and sensor faults simultaneously in a discrete-time system. The UIO is designed by using an $$H_\infty $$ H ∞ technique, which is developed to both maintain the estimation error stable and reduce the disturbances that cannot be decoupled. In the first part of this paper, the observer is addressed for discrete-time linear systems subjected to sensor noise and process disturbances. In sequence, the method is extended to handle Lipschitz nonlinear systems. The proposed method is validated through two numerical examples, and a comparison between the proposed techniques and Extended Kalman Filter is presented. The results show the proposed approach as a better observer in terms of state and fault estimation, and process disturbance and sensor noise rejection.

【 授权许可】

CC BY