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Robust Fault Estimation and Active Fault Tolerant Control for Uncertain System

Author: ChangShuaiBing
Tutor: ChouJiQing
School: Hebei University of Science and Technology
Course: Applied Mathematics
Keywords: Fault Diagnosis Fault detection Fault Tolerant Control Fault Estimation Robustness
CLC: TP13
Type: Master's thesis
Year: 2012
Downloads: 43
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Abstract


Increasing performance requirements of the system reliability, safety, and effectiveness, as the operating environment of the modern complex engineering systems bring unprecedented challenges, greatly increase the likelihood of the system components and subsystem failure potential failure not only break the stability of the ring system, but also damage the performance of the system, are more likely to result in a huge loss of property and personal further may have disastrous consequences. Therefore, a key factor in economic benefits to the safety and reliability of the system, the same social benefits is also true, and thus its degree of attention has also been widely improved. Dynamic system fault-tolerant control and fault diagnosis has made no small progress, full use of the depth of information within the system a good way is to use a model-based approach to fault detection and fault compensation. Therefore, this method has been widely used and highly valued. But in the actual complex dynamic systems, due to the presence of its mathematical model uncertainty, coupled with the external interference, such that the requirements on system performance and more difficult to meet. Therefore, the dynamic system robust fault diagnosis and fault tolerant control more and more attention, and effectively protect the system reliability and security, has a very important significance. Its robust fault detection and fault-tolerant control problem for a class of uncertain systems, research. The main work is as follows: the current development of the technology in the field of non-linear dynamic systems; fault-tolerant control and given several fault tolerant control of nonlinear systems, nonlinear passive fault tolerant control based on Hamilton- the Jacobi equation design method, as well as nonlinear active fault tolerant control design methods of artificial intelligence and parameter estimation based. For nonlinear dynamic system, because in the actual system will not be able to avoid modeling errors, external disturbances and measurement noise factors, the text on this design a robust fault detection method. First, in this method, the measurement noise this uncertainty can be eliminated by using a radial basis function neural network processing the measurement signal, while the system model parameters is represented by interval in the form of, and thus uncertainty in propagated to the residue The difference in the comparison signal observations and model simulation value consistency, the robustness of the fault detection can take adaptive threshold method to achieve. Practical example of a 300MW power plant boiler convection heating surface enthalpy temperature channel simulation, simulation results show that this method is not only in the measurement noise and modeling errors has strong robustness, and in the early fault detection high sensitivity. Therefore, in the line fault detection, the method is feasible and effective. In this paper, the uncertain linear systems based on norm bounded parameter perturbations robust fault tolerant control problem in the case. When uncertain linear systems with actuator failures, the sufficient conditions for the stability and robustness of the closed-loop system can be given using algebraic methods. Finally, numerical examples to illustrate the method is simple and effective.

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