Fault diagnosis and model predictive fault-tolerant control for stochastic distribution collaborative systems based on the T–S fuzzy model

2020 ◽  
Vol 51 (4) ◽  
pp. 719-730
Author(s):  
Yunfeng Kang ◽  
Lina Yao ◽  
Yuwei Ren
Keyword(s):  
Fault Diagnosis ◽  
Fault Tolerant ◽  
Fuzzy Model ◽  
Fault Tolerant Control ◽  
Collaborative Systems ◽  
Stochastic Distribution

scholarly journals Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative Systems

Entropy ◽  
2018 ◽  
Vol 20 (11) ◽  
pp. 820 ◽  
Author(s):  
Lina Yao ◽  
Wei Wu ◽  
Yunfeng Kang ◽  
Lifan Li
Keyword(s):  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Collaborative Systems ◽  
Collaborative Control ◽  
Control Scheme ◽  
Control Target ◽  
In Series ◽  
System Output ◽  
Output Probability ◽  
Stochastic Distribution

In this paper, a fault-tolerant control scheme is presented for a class of stochastic distribution collaborative control systems, which are composed of three subsystems connected in series to complete the control target. The radial basis function neural network is used to approximate the output probability density function of the third subsystem, which is also the output of the entire system. When fault occurs in the first subsystem, an adaptive diagnostic observer is designed to estimate the value of fault. However, the first subsystem does not have the ability of self-recovery, minimum rational entropy controllers are designed in the latter subsystems to compensate the influence of the fault and minimize the entropy of the system output. A numerical simulation is given to verify the effectiveness of the proposed scheme.

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.

Sign in / Sign up

Export Citation Format

Share Document