Reduced-order set-valued observer design for high order uncertain linear system with disturbance

Zhao, Ruinan; Shen, Yanxia; Wu, Dinghui; Zhao, Zhipu

doi:10.23919/chicc.2017.8027324

Cited by 1 publication

(3 citation statements)

References 22 publications

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“…(25) By combining functions (19) and (24), and considering the worst possible case of disturbance, function (26) is obtained as follows ( ) ( ) ( )…”

Section:    mentioning

confidence: 99%

“…. According to the calculation process of the gain matrix of SVO, the data of the extremum point of the state set is selected and substituted into the equation (26). The value of the gain matrix un l can be obtained by simulation test.…”

Section:    mentioning

confidence: 99%

“…Lin et al [25] proposed an algorithm based on a uniformly bounded theory and multi-vertex estimation, which were the foundations of the SVO adopted in this paper. In the article [26], the reduced-order SVO was designed for an intermediate quantity which was indispensable in the modeling of WECS. In the article [27], the improved SVO and fault detection strategies were designed for the unknown nonlinearity and delay characteristics of a WECS, and their performances were verified by simulation.…”

Section: Introductionmentioning

confidence: 99%

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Fault Detection of WECSs Based on Improved SVO and Fourier Transformation

Zhao

2024

IEEE Access

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This paper studies the application of estimation error signals frequency domain analysis in the fault detection field. The estimation error signals of actuators are derived from the improved set-valued observer and the benchmark mathematical model of a wind energy conversion system (WECS) with delayed inputs and unknown nonlinear parts. The improved SVO is designed based on the extended Lipschitz condition, the set-induced theory, and the uniformly ultimately boundedness. For the faults of the pitch angle actuators, the estimation error signals are processed by the fast Fourier transform (FFT), and the corresponding fault detection strategies are designed. The simulation results show that the proposed fault detection strategy can detect the actuator fault in the early stage of the fault with high accuracy.

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“…(25) By combining functions (19) and (24), and considering the worst possible case of disturbance, function (26) is obtained as follows ( ) ( ) ( )…”

Section:    mentioning

confidence: 99%

Section:    mentioning

confidence: 99%