Design of a PD-type learning observer for reconstruction of actuator faults in descriptor systems

作者：Jia, Qingxian^*; Chen, Wen; Wang, Peng; Zhang, Yingchun

来源：IET Control Theory and Applications, 2017, 11(1): 17-24.

DOI：10.1049/iet-cta.2015.1143

• TOLERANT CONTROL
• DIAGNOSIS
• MODEL

This study investigates the problem of reconstructing actuator faults for descriptor systems via a PD-type learning observer. By synthesising the derivatives of the output estimation error into the P-type learning law, a novel PD-type learning observer is established to simultaneously reconstruct original system states and actuator faults. Stability analysis of the PD-type learning observer is explicitly provided. A systematic design method is also suggested based on a linear matrix inequality technique. Further, a robust PD-type learning observer is designed against process disturbances and measurement noises. At last, a simulation example is used to demonstrate the effectiveness of the proposed fault-reconstructing method.

• 出版日期2017-1-6
• 单位哈尔滨工业大学; 东南大学; 上海交通大学