A Descriptor System Approach of Sensor Fault State Estimation for Sampled-data Systems

A Descriptor System Approach of Sensor Fault

State Estimation for Sampled-data Systems Zhenhua Zhou1*， Mao Wang2 and Boyuan Yang1

【摘要】Abstract: This paper proposes a fault estimation method for sampled-data systems with sensor faults. The sampled-data system is firstly discretized to obtain a discrete-time model. Then a descriptor system is constructed to describe the discretized system with sensor faults. Based on the descriptor system representation, a bank of observers are designed to isolate and estimate the sensor faults. These observers can be synthesized by the linear matrix inequality (LMI) technique, and sufficient conditions for the existence of these observers are derived. Finally, the effectiveness is ascertained by an aircraft simulation example, which is in the proposed method.

【期刊名称】《哈尔滨工业大学学报（英文版）》

【年(卷),期】2019(026)005

【总页数】7

【关键词】Keywords: fault isolation and estimation; sampled-data system; descriptor system; linear matrix inequality (LMI)

Received 2017-12-17.

Sponsored by the National Natural Science Foundation of China (Grant No. 61004038).

CLC number:TP29