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Research on Fault Tolerant Control Based on BP Neural Network

Author: ZhaoXuePing
Tutor: ChenTieJun
School: Zhengzhou University
Course: Control Theory and Control Engineering
Keywords: BP network BP algorithm Internal Model Control Fault-tolerant control
CLC: TP18
Type: Master's thesis
Year: 2005
Downloads: 222
Quote: 2
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Abstract


Modern control system is moving in the direction of large-scale, complex , huge investment in such systems , the event of an accident may cause a huge loss of personnel and property , so there is an urgent need to improve the reliability and security of modern control systems . Fault-tolerant control are aimed at enhancing the reliability and safety of complex systems has opened up a new passing . Fault-tolerant control developed in the 1980s designed to improve the system reliability of the control technology , it is a fundamental characteristic of the system during the operation of one or more components failed , to take effective measures so that the system is still is stable , and still having an ideal characteristic . Fault-tolerant control can generally be divided into two categories: passive fault-tolerant control ( passive FTC ) and Active Fault Tolerant Control ( active FTC ) . Neural network for fault-tolerant control is one of the hot issues of control system research . This is because the current control system becomes more complex, and many want to obtain accurate model of the system is very difficult , and faulty systems are often non-linear, neural network fault-tolerant control method for solving nonlinear , fault-tolerant control of time-varying systems provide a new way . In this paper , the main contents are as follows : 1 for the modern industrial process there is a nonlinear , large time delay , time-varying and mathematical model of the uncertainty characteristics , analyzes the advantages and disadvantages of the various fault - tolerant control method , and analyzed the neural network in fault-tolerant control in the application . (2) the use of improved BP algorithm , neural network internal model control system state estimator and controller design . ( 3 ) failure of the system , this paper uses a BP network fault-tolerant control directly as a fault compensation program design , and fault compensation . 4 under the control of the compensator design , this paper gives a sufficient condition to guarantee the stability of the closed-loop system controller . 5 Finally the simulation example proved that when the system failure , fault compensation added to make the system truly achieve fault-tolerant control purposes , to prove the effectiveness of this method .

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