Fault diagnosis and statistical information tracking fault tolerant control for non-Gaussian non-linear stochastic systems

2017 ◽  
Author(s):  
Yacun Guan ◽  
Lifan Li ◽  
Lina Yao
Keyword(s):  
Fault Diagnosis ◽  
Stochastic Systems ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Statistical Information ◽  
Linear Stochastic Systems ◽  
Non Linear ◽  
Information Tracking ◽  
Non Gaussian

scholarly journals Fault monitoring and fault recovery control for position-moored vessels

2011 ◽  
Vol 21 (3) ◽  
pp. 467-478 ◽  
Author(s):  
Shaoji Fang ◽  
Mogens Blanke
Keyword(s):  
Fault Diagnosis ◽  
Position Control ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Mooring Line ◽  
Fault Recovery ◽  
Recovery Algorithm ◽  
Fault Accommodation ◽  
Fault Monitoring ◽  
Non Gaussian

Fault monitoring and fault recovery control for position-moored vessels This paper addresses fault-tolerant control for position mooring of a shuttle or floating production storage and offloading vessels. A complete framework for fault diagnosis is presented. A loss of a sub-sea mooring line buoyancy element and line breakage are given particular attention, since such failures might cause high-risk abortion of an oil-loading operation. With significant drift forces from waves, non-Gaussian elements dominate forces and the residuals designed for fault diagnosis. Hypothesis testing is designed using dedicated change detection for the type of distribution encountered. A new position recovery algorithm is proposed as a means of fault accommodation in order to keep the mooring system in a safe state, despite faults. The position control is shown to be capable of accommodating serious failures and preventing breakage of a mooring line, or a loss of a buoyancy element, from causing subsequent failures. Properties of the detection and fault-tolerant control algorithms are demonstrated by high fidelity simulations.

scholarly journals Fault Diagnosis and Fault Tolerant Control for Non-Gaussian Singular Time-Delayed Stochastic Distribution Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Lina Yao ◽  
Long Feng ◽  
Bin Jiang
Keyword(s):  
Fault Diagnosis ◽  
Distribution Systems ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Fault Estimation ◽  
Control Input ◽  
Observation Error ◽  
Non Gaussian ◽  
Stochastic Distribution ◽  
Singular Time

New integrated fault diagnosis (FD) and fault tolerant control (FTC) algorithm for non-Gaussian singular time-delayed stochastic distribution control (SDC) system is proposed in the paper. Different from general SDC systems, in singular time-delayed SDC systems, the relationship between the weights and the control input is expressed by a singular time-delayed state space model, which largely increases the difficulty in the FD and FTC design. An iterative learning observer (ILO) is designed to carry out the fault estimation. The influence of the time delay term is eliminated in the process of the proof of the observation error stability. The fault may be constant, slow varying, or fast varying. Combined with the switching control theory, based on the estimated fault information, the fault tolerant controller can be designed to make the postfault probability density function (PDF) still track the given distribution. Simulations are given to show the effectiveness of the proposed integrated FD and FTC algorithms.

scholarly journals Fault Diagnosis and Fault Tolerant Control for Non-Gaussian Singular Time-Delayed Stochastic Distribution Systems with Disturbance Based on the Rational Square-Root Model

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Yuancheng Sun ◽  
Zhanhong Liang
Keyword(s):  
Fault Diagnosis ◽  
Distribution Systems ◽  
Fault Tolerant ◽  
Tracking Error ◽  
Fault Tolerant Control ◽  
Adaptive Observer ◽  
Square Root ◽  
Non Gaussian ◽  
Stochastic Distribution ◽  
Singular Time

For the non-Gaussian singular time-delayed stochastic distribution control (SDC) system with unknown external disturbance where the output probability density function (PDF) is approximated by the rational square-root B-spline basis function, a robust fault diagnosis and fault tolerant control algorithm is presented. A full-order observer is constructed to estimate the exogenous disturbance and an adaptive observer is used to estimate the fault size. A fault tolerant tracking controller is designed using the feedback of distribution tracking error, fault, and disturbance estimation to let the postfault output PDF still track desired distribution. Finally, a simulation example is included to illustrate the effectiveness of the proposed algorithms and encouraging results have been obtained.

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