Robust fault detection and estimation observer design for switched systems

Li, Jian; Pan, Kunpeng; Zhang, Dezhen; Su, Qingyu

doi:10.1016/j.nahs.2019.05.001

Cited by 51 publications

(22 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The power system can be regarded as both continuous and discrete cyber-physical systems (CPS). Therefore, the switching system theory and network are used in power system modeling, so as to better analyze its stability and other performance [13]- [14]. Resilient control, which is a combination of computerized and digital control systems, is used in the design of control systems in malignant and uncertain environments [15].…”

Section: Introductionmentioning

confidence: 99%

Distributed Finite-Time Secondary Voltage Restoration of Droop-Controlled Islanded Microgrids

et al. 2020

Self Cite

View full text Add to dashboard Cite

In this paper, we investigate the distributed finite-time secondary voltage control for the islanded microgrid with droop-controlled, inverter-based distributed generations. By introducing an error function, a nonsingular terminal sliding manifold is established, then the secondary voltage control is converted to a tracking consensus problem of the distributed nonsingular terminal sliding mode control. In the proposed control scheme, each distributed generation unit only requires its local information and the information from neighbors, which means only a simple communication network is needed. Furthermore, the distributed controller can adjust the voltage magnitude to its reference value in despite of dynamic uncertainties and bounded external disturbances. Numerical simulations are presented to demonstrate the effectiveness of the proposed control protocol. INDEX TERMS islanded microgrids, secondary voltage control, nonsingular terminal sliding mode control

show abstract

Section: Introductionmentioning

confidence: 99%

Distributed Finite-Time Secondary Voltage Restoration of Droop-Controlled Islanded Microgrids

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [13], an FD estimator is designed for uncertain non‐linear interconnected systems with time‐delayed faults, and a decentralised output feedback controller is further developed by this detection scheme and adaptive technique. In [14], the sensor FD and fault estimation design problems of the switched systems based on DC–DC converters are considered. A sliding mode observer is designed to detect the occurrence of faults, and fault estimation is achieved by fault reconstruction approach.…”

Section: Introductionmentioning

confidence: 99%

Fault detection for a class of uncertain Lipschitz systems with time delays in finite‐frequency domain

Peng

Cai

2020

IET Control Theory & Appl

View full text Add to dashboard Cite

“…8,9 Among model-based methods, observer-based methods are common. [10][11][12] For example, observer-based have been developed in recent years, such as adaptive observer, Lunberger observer, sliding mode observer, fuzzy observer etc. 13,14 Authors study fault-tolerant control for nonlinear singular systems with time varying delay based on fault diagnosis observer.…”

Section: Introductionmentioning

confidence: 99%

Robust fault detection and adaptive parameter identification for DC‐DC converters via switched systems

LiJian

Pan

SuQingyu

2020

Adaptive Control & Signal

Self Cite

View full text Add to dashboard Cite

In this paper, the problem of fault detection and identification for DC-DC converters is presented. First, switched systems model and fault model are analyzed based the switched characteristics of the DC-DC converters, taking the DC-DC buck converter as an example. According to the switched Lyapunov function technique, a fault detection observer and a bank of linear switched fault identification observers are designed for the switched systems. Next, the fault detection observer detects the fault based on the residual produced by the observer output and actual output. After the fault is detected, fault identification observers are activated. The location of fault is identified by comparing the residual evaluation functions. Meanwhile, the adaptive parameter identification is achieved by choosing an appropriate adaptive law. Finally, in order to show the feasibility of the fault detection and identification, the simulation results are given in this article.

show abstract

Robust fault detection and estimation observer design for switched systems

Cited by 51 publications

References 11 publications

Distributed Finite-Time Secondary Voltage Restoration of Droop-Controlled Islanded Microgrids

Distributed Finite-Time Secondary Voltage Restoration of Droop-Controlled Islanded Microgrids

Fault detection for a class of uncertain Lipschitz systems with time delays in finite‐frequency domain

Robust fault detection and adaptive parameter identification for DC‐DC converters via switched systems

Contact Info

Product

Resources

About