Fault diagnosis of vibration control system for flexible structures (Simultaneous fault detection of actuators and sensors by fuzzy reasoning)

2003 ◽  
Author(s):  
M. Isogai ◽  
T. Fukuda ◽  
F.H. Arai
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Fault Detection ◽  
Vibration Control ◽  
Flexible Structures ◽  
Fuzzy Reasoning

Design of Fault Diagnosis System for the Parameter-Depended Control System

2011 ◽  
Vol 320 ◽  
pp. 636-641
Author(s):  
Jing Zhou
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Fault Detection ◽  
Fault Isolation ◽  
Linear Matrix ◽  
Diagnosis System ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Loop Control System ◽  
Fault Diagnosis System

A robust parameter-depended reduced order(RPRO) fault detection filter(FDF) is designed. Contrary to the parameter-depended uncertainty system, the order of the linear matrix inequalities is reduced, then the RPRO fault detection and fault isolated filters are constructed. Then a RPRO fault isolation filter is designed for occurrence of both actuator fault and sensor fault in the aerocraft’s closed-loop control system, and fault diagnosis system is structured based on the fault isolation filters. Through the output of the fault diagnosis system, we can alarm the fault timely and the advantages of this approach are highlighted.

Active vibration control of structures using a leader–follower-based consensus design

2016 ◽  
Vol 24 (1) ◽  
pp. 60-72 ◽  
Author(s):  
Ehsan Omidi ◽  
S Nima Mahmoodi
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Active Vibration Control ◽  
Flexible Structures ◽  
Distributed Parameter ◽  
Arbitrary Form ◽  
Piezoelectric Layers ◽  
Active Vibration ◽  
System States ◽  
Virtual Leader

This paper proposes a new leader–follower-based consensus vibration controller to actively suppress unwanted oscillations in distributed-parameter flexible structures. Actuation and sensing is performed via piezoelectric layers in a collocated sense. The actuator/sensor patches for the vibration control system are considered to collaborate in a network, and follow a virtual leader which is accessible to all agents. Hence, a vibration controller law is defined, to remove disagreement between agents and force the agents to follow the virtual leader. The proposed approach is an observer-based design, in which an optimal consensus state estimator is initially designed. Stability of the closed-loop system is investigated and the optimality conditions of the system are derived. Although the designed vibration controller could be implemented for suppression tasks in different distributed-parameter systems, a flexible clamped-clamped beam is used here for equation derivation and numerical performance verification. According to the results, the optimal observer estimates the system states in a finite time, as expected, and the vibration controller suppresses unwanted oscillations, either in resonant or arbitrary form, to a much lower level; while the disagreement between agents converges to zero. Additionally, suppression performance and robustness of the controller to failure in control system elements is investigated in comparison with a conventional positive position feedback controller, and its superiority is illustrated and discussed.

Intelligent Sensor Fault Detection of Vibration Control for Flexible Structures

1999 ◽  
Vol 11 (6) ◽  
pp. 524-530 ◽  
Author(s):  
Masahiro Isogai ◽  
◽  
Fumihito Arai ◽  
Toshio Fukuda ◽  
◽  
...  
Keyword(s):  
Fault Detection ◽  
Vibration Control ◽  
Inverse Dynamics ◽  
Fault Tolerant ◽  
Flexible Structures ◽  
Space Structures ◽  
Sensor Fault ◽  
Intelligent Sensor ◽  
Proposed Model ◽  
Sensor Fault Detection

Vibration control for flexible structures such as arms and space structures has been widely studied. We proposed model-based decentralized control for flexible structures by decoupling mode quantities of other links. If a failure occurs, control performance drops due to parameter error between the model and plant. We must consider device fault detection and controller reconfiguration. We propose a fault-tolerant system using inverse dynamics constructed by neural network for sensor fault detection and NN adaptive control for the actuator fault to reconfigure control to compensate for parameter changes due to actuator faults. The effectiveness of our proposal is shown through simulation.

Improved fault diagnosis for aircraft flap control system based on bond graph

2020 ◽  
Vol 92 (8) ◽  
pp. 1159-1168
Author(s):  
Jie Chen ◽  
Zhengdong Jing ◽  
Chentao Wu ◽  
Senyao Chen ◽  
Liye Cheng
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Fault Detection ◽  
Complex Systems ◽  
Parameter Uncertainty ◽  
Failure Modes ◽  
Bond Graph ◽  
Adaptive Threshold ◽  
Fault Detection And Diagnosis ◽  
Content Type

Purpose This paper aims to improve the fault detection adaptive threshold of aircraft flap control system to make the system fault diagnosis more accurate. Design/methodology/approach According to the complex mechanical–electrical–hydraulic structure and the multiple fault modes of the aircraft flap control system, the advanced fault diagnosis method based on the bond graph (BG) model is presented, and based on the system diagnostic BG model, the parameter uncertainty intervals are estimated and a new adaptive threshold is constructed by linear fraction transformation. Findings To construct a more reasonable and accurate adaptive threshold range to more accurately detect system failures, some typical failure modes’ diagnosis process are selected and completed for verification; the simulation results show that the proposed method is effective and feasible for complex systems’ fault diagnosis. Practical implications This study can provide a theoretical guidance and technical support for fault diagnosis of complex systems, which avoid misdiagnosis and missed diagnosis. Originality/value This study enables more accurate fault detection and diagnosis of complex systems when considering factors such as parameter uncertainty.

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