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Sensor Fault Detection for LPV Systems Using Interval Observers

Jorge Yusef Colín-Castillo, G.‐L. Osorio‐Gordillo, Vicenç Puig, R. Vargas, Gerardo Guerrero, Juan Reyes‐Reyes, Carlos Manuel Astorga-Zaragoza

发表年份
2024
引用次数
2

摘要

This paper presents an approach for design a continuous-time interval observer for linear parameter varying (LPV) systems in the presence of disturbances that are considered unknown but bounded. The proposed observer is used for the design of a sensor fault detection scheme using the input to state stability (ISS) approach through a Lyapunov quadratic function. The conditions of stability and positivity are presented by a set of linear matrix inequalities (LMIs). The performance of the proposed method is shown in simulation using a case study based on a single-link flexible joint robotic system.

关键词

Control theory (sociology)Observer (physics)Bounded functionFault detection and isolationLyapunov functionInterval (graph theory)Computer scienceLinear matrix inequalityLinear systemStability (learning theory)

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