Actuator fault detection based on robust adaptive observer for CCBII Braking System

Author(s):  
Jiandui Yi ◽  
Zhiwu Huang ◽  
Weirong Liu ◽  
Yingze Yang ◽  
Xiaoyong Zhang ◽  
...  
2019 ◽  
Vol 20 (9) ◽  
pp. 515-523
Author(s):  
N. Bedioui ◽  
R. Houimli ◽  
M. Besbes

A new approach is presented for sensor fault detection reconstruction and state estimation. The system considered is linear polytopic parameter-vary ing (LPV) system. The main idea is the design of a novel robust adaptive observer based on and polyquadratic formulation with a new set of relaxation. Sufficient conditions are given by a set of Linear Matrix Inequalities (LMI) in order to guarantee the stability of the system and the asymptotic convergence of the fault error. A simulation example has been studied to illustrate the proposed methods by detecting constant and variable sensor fault.


2012 ◽  
Vol 482-484 ◽  
pp. 529-532
Author(s):  
Shao Cong Guo ◽  
Mo Han Yang ◽  
Zi Rui Xing ◽  
Yi Li ◽  
Ji Qing Qiu

The fault detection and isolation (FDI) for industrial robot manipulators, subject to faults of actuator, is devised in this paper. An adaptive observer is designed to tackle the robustness problem for unknown parameters due to faults,based on a bank of state observers. By using an adaptive regulating algorithm, the observer is ensured to be stable and the estimated errors are guaranteed to converge. Experimental results are reported for a planar robot under gravity, considering partial failures of the motor torques.


2018 ◽  
Vol 12 (15) ◽  
pp. 2076-2087 ◽  
Author(s):  
Zhiguo Han ◽  
Ke Zhang ◽  
Haipeng Liu

2007 ◽  
Vol 36 (4) ◽  
pp. 375-398 ◽  
Author(s):  
Jason Sheng-Hong Tsai ◽  
Ming-Hong Lin ◽  
Chen-Hong Zheng ◽  
Shu-Mei Guo ◽  
Leang-San Shieh

2017 ◽  
Vol 67 ◽  
pp. 317-329 ◽  
Author(s):  
Alireza Abbaspour ◽  
Payam Aboutalebi ◽  
Kang K. Yen ◽  
Arman Sargolzaei

Author(s):  
Damiano Di Penta ◽  
Karim Bencherif ◽  
Qinghua Zhang ◽  
Michel Sorine

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