Robust adaptive diagnostic observers design for actuator fault dynamic systems

2014 ◽  
Author(s):  
Cheng-Fa Cheng ◽  
Tse-Han Chen
Keyword(s):  
Dynamic Systems ◽  
Actuator Fault ◽  
Robust Adaptive

scholarly journals Robust Adaptive Sliding Mode Fault Tolerant Control for Nonlinear System with Actuator Fault and External Disturbance

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Liang Zheng ◽  
Xuelian Dong ◽  
Qian Luo ◽  
Menglan Zeng ◽  
Xinping Yang ◽  
...  
Keyword(s):  
Control Method ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
External Disturbance ◽  
Fault Tolerant Control ◽  
Actuator Fault ◽  
Estimation Errors ◽  
Adaptive Sliding Mode ◽  
Sliding Motion ◽  
Robust Adaptive

In this paper, an adaptive sliding mode fault tolerant control (ASMFTC) approach is proposed for a class of nonlinear systems with actuator fault, uncertainty, and external disturbance. Specifically, first, a novel observer is proposed to estimate the state, actuator fault, and external disturbance. Then, by utilising the observed information, a novel output sliding mode observer is constructed. In the control method, an adaptive law and two compensators are designed to attenuate the unknown estimation errors, actuator fault, and disturbance. Furthermore, the reaching ability of the sliding motion is analysed and the H-infinite performance is introduced to ensure the robustness of the system. Finally, a flexible single joint manipulator system and a two-cart system are used to verify the effectiveness of the proposed method.

Robust adaptive control for dynamic systems with mixed uncertainties

2016 ◽  
Vol 27 (3) ◽  
pp. 656-663 ◽  
Author(s):  
Jiaoru Huang ◽  
Fucai Qian ◽  
Guo Xie ◽  
Hengzhan Yang
Keyword(s):  
Adaptive Control ◽  
Dynamic Systems ◽  
Robust Adaptive Control ◽  
Robust Adaptive ◽  
Mixed Uncertainties

Actuator fault reconstruction based on a robust adaptive observer

2018 ◽  
Vol 12 (15) ◽  
pp. 2076-2087 ◽  
Author(s):  
Zhiguo Han ◽  
Ke Zhang ◽  
Haipeng Liu
Keyword(s):  
Adaptive Observer ◽  
Actuator Fault ◽  
Fault Reconstruction ◽  
Robust Adaptive

scholarly journals Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

2012 ◽  
Vol 22 (1) ◽  
pp. 183-196 ◽  
Author(s):  
Dezhi Xu ◽  
Bin Jiang ◽  
Peng Shi
Keyword(s):  
Dynamic Systems ◽  
System Approach ◽  
Sliding Mode ◽  
Fuzzy Model ◽  
Inverse System ◽  
Nonlinear Dynamic Systems ◽  
Fault Estimation ◽  
Actuator Fault ◽  
Inverse System Method ◽  
System Method

Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy modelBased on a Takagi-Sugeno (T-S) fuzzy model and an inverse system method, this paper deals with the problem of actuator fault estimation for a class of nonlinear dynamic systems. Two different estimation strategies are developed. Firstly, T-S fuzzy models are used to describe nonlinear dynamic systems with an actuator fault. Then, a robust sliding mode observer is designed based on a T-S fuzzy model, and an inverse system method is used to estimate the actuator fault. Next, the second fault estimation strategy is developed. Compared with some existing techniques, such as adaptive and sliding mode methods, the one presented in this paper is easier to be implemented in practice. Finally, two numerical examples are given to demonstrate the efficiency of the proposed techniques.

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