Fault detection for switched systems with all modes unstable based on interval observer

Su, Qingyu; Fan, Zhongxin; Lu, Tianhuan; Long, Yue; Li, Jian

doi:10.1016/j.ins.2019.12.071

Cited by 73 publications

(39 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the expressions of controller (24) and adaptive law (25), the controller and adaptive rate are very complex. In order to simplify the controller, we use adaptive Hamilton minimax control algorithm to design the controller, and give the simulation results in Fig.2-Fig.6.…”

Section: B Transient Performance Analysis Of Contrast Methodsmentioning

confidence: 99%

“…Theorem 1: For any given γ > 0, under the action of controller (24) and adaptive law (25), the system (1) is asymptotically stable near the equilibrium point.…”

Section: Design Of Value Controller Based On Hamilton Adaptive Mmentioning

confidence: 99%

“…Proof: We know that ψ = −(∇H) T R 1 (∇H) ≤ 0 under the action of controller (24) and adaptive law (25). Let Q(x) = (∇H) T R 1 (∇H), the energy storage function V (x) ≥ 0, Q(x) ≥ 0 satisfies dissipative inequality (2) in the presence of (13), and the system has L 2 interference suppression characteristics, so the system (1) is asymptotically stable near the equilibrium point.…”

Section: Design Of Value Controller Based On Hamilton Adaptive Mmentioning

confidence: 99%

See 2 more Smart Citations

Valve Controller Design of Multi-Machine Power Systems Based on Adaptive Hamilton Minimax Method

Wang

Dong

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

This paper describes an application of nonlinear adaptive Hamilton minimax control to multimachine power systems with steam valve controllers. The controllers are designed explicitly to maintain transient stability of systems. First, the feedback link is introduced to transform the traditional power system model into Hamilton structure. It is worth mentioning that in the process of building the system model and designing the controllers, this paper considers the problem of interconnection interference. The proposed controllers enable the system to have L 2 interference suppression characteristics in the case of maximum disturbance. Finally, the simulation results show that the adaptive Hamilton minimax method has better transient performance. INDEX TERMS Hamilton control, multi-machine power system, transient stability, adaptive method.

show abstract

Section: B Transient Performance Analysis Of Contrast Methodsmentioning

confidence: 99%

“…Theorem 1: For any given γ > 0, under the action of controller (24) and adaptive law (25), the system (1) is asymptotically stable near the equilibrium point.…”

Section: Design Of Value Controller Based On Hamilton Adaptive Mmentioning

confidence: 99%

Section: Design Of Value Controller Based On Hamilton Adaptive Mmentioning

confidence: 99%

See 1 more Smart Citation

Valve Controller Design of Multi-Machine Power Systems Based on Adaptive Hamilton Minimax Method

Wang

Dong

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…MGs are highly complex, nonlinear dynamical networks by nature that present many theoretical and practical challenges. To address the issues of MGs monitoring and control, making the system more intelligent and self-healing, the following technologies are adopted: 1) Some observers (e.g., Luenberger observer, sliding-mode observer and H − /H ∞ observer) are designed to detect the system faults [16]- [18]; and 2) Some intelligent filtering technologies (e.g., finitetime filtering and exponential H ∞ filtering) are addressed to suppress interference signal to control better [19]- [20].…”

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

“…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

Fault detection for switched systems with all modes unstable based on interval observer

Cited by 73 publications

References 36 publications

Valve Controller Design of Multi-Machine Power Systems Based on Adaptive Hamilton Minimax Method

Valve Controller Design of Multi-Machine Power Systems Based on Adaptive Hamilton Minimax Method

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

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

Contact Info

Product

Resources

About