An actuator fault reconstruction scheme for linear systems. (August 2016)

• Record Type: Journal Article
• Authors: Lee, Kee-Sang; Park, Tae-Geon
• Is Part Of: Journal of process control. Volume 44(2016:Aug.)
• Page Start: 106
• Page End: 119
• Publication Date: 2016-08
• Subjects: Algebraic decomposition -- Exact differentiator -- Fault estimation -- Functional observer; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2016.05.009
• Languages: English
• ISSNs: 0959-1524

Abstract

Highlights: This study has proposed an actuator fault reconstruction scheme for linear systems with applications to aircraft and crane models. The given system is decomposed into two subsystems; a fault-free subsystems and a fault-dependent subsystem. A functional observer is introduced to provide the estimate of the linear functions of the state of the fault-free subsystem. Robust exact differentiators are adopted to provide the derivative of the measurement output. Abstract: This paper presents an actuator fault reconstruction scheme that can be classified into an algebraic decomposition approach in which the original system is decomposed into two subsystems: a fault-free subsystem and a fault-dependent one. From the result of such algebraic decomposition, the fault estimate is obtained as a set of combinational functions of the system input, the measurement output, the estimate of certain linear functionals involving the state of the fault-free subsystem and the first-order derivative of the measurement output. Here a functional observer and robust exact differentiators are adopted to provide the estimate of the linear functionals of the state of the fault-free subsystem and the derivative of the measurement output, respectively. The proposed method is verified through two numerical examples of seventh-order aircraft and fourth-order crane models.