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| Content Provider | IET Digital Library |
|---|---|
| Author | Yao, Lina Qin, Jifeng Wang, Aiping Wang, Hong |
| Abstract | The purpose of the fault detection and diagnosis of stochastic distribution control systems is to use the measured input and the system output probability density functions (PDFs) to obtain the fault information of the system. In this paper, the rational square-root B-spline model is used to represent the dynamics between the output PDF and the input. This is then followed by the novel design of a non-linear neural network observer-based fault diagnosis (FD) algorithm so as to diagnose the fault in the dynamic part of such systems. Convergency analysis is performed for the error dynamic system raised from the fault detection and diagnosis phase using the Lyapunov stability theorem. Finally, based on the FD information, a new fault-tolerant control based on proportional integral tracking control scheme is designed to make the post-fault PDF still track the given distribution. A simulated example is given to illustrate the efficiency of the proposed algorithms. |
| Starting Page | 116 |
| Ending Page | 124 |
| Page Count | 9 |
| ISSN | 17518644 |
| Volume Number | 7 |
| e-ISSN | 17518652 |
| Issue Number | Issue 1, Jan (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cta/7/1 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2012.0466 |
| Journal | IET Control Theory & Applications |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Approximation Theory Convergence Fault Diagnosis Fault Tolerance Fault Tolerant Control Interpolation And Function Approximation Lyapunov Method Mathematics Modelling And Identification Neurocontrol Neurocontrollers NonGaussian Nonlinear Stochastic System Nonlinear Control System Nonlinear Neural Network Observer-based Fault Diagnosis Algorithm Numerical Analysis Observers PDF PI Control Probability Proportional Integral Tracking Control Scheme Rational Square-root Approximation Model Rational Square-root B-spline Model Simulation SpLine Statistics Stochastic Distribution Control System Stochastic System System Output Probability Density Function Three-term Control Time Varying Control System |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications |
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