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H-infinity adaptive observer enhancements for vehicle chassis dynamics-based navigation sensor fault construction

Journal Article


Abstract


  • The issues of chassis dynamics-based navigation sensor fault and state estimation in land vehicles are specialized in this study. Owing to the essential attributes of robust theory-based observers, an H-infinity adaptive observer is proposed to implement the fault reconstructions of faulty sensors, offering a reference to vehicles for further favorable control decision-making. This observer fuses a linear matrix inequality convex optimization strategy, with the dynamics of land vehicles established mathematically, the consequent problems associated with augmented descriptor system state-space model, Lyapunov stability and linear matrix inequality convex optimization are discussed in detail. The numerical simulations on vehicular systems that suffered with single-existing deadlocking, gain scheduling, and constant deflection sensor fault are conducted. The results indicate, the fault channel outputs fairly reflect the variations of real faults under severe step-type fault input circumstances, so that the applicability of the fault observer against sensor failures is guaranteed. The proposed sensor fault construction idea is further extended to a loosely coupled inertial measurement units/global positioning system (GPS) illustration with GPS unavailable in its north velocity channel. After reconstructing the priori system state for ���State one-step prediction��� of Kalman filter, the compensated navigation parameters by state estimator exhibit consistent with the references as expected, the vehicle chassis dynamics-based sensor fault construction method, therefore, may be recognized as an effective measure to a class of integrated navigation systems experiencing some unknown sensor failures.

Publication Date


  • 2020

Citation


  • Xia, L., Cong, J., Xu, X., Gao, Y., & Zhang, S. (2020). H-infinity adaptive observer enhancements for vehicle chassis dynamics-based navigation sensor fault construction. International Journal of Advanced Robotic Systems, 17(2). doi:10.1177/1729881420904215

Scopus Eid


  • 2-s2.0-85082532325

Web Of Science Accession Number


Volume


  • 17

Issue


  • 2

Place Of Publication


Abstract


  • The issues of chassis dynamics-based navigation sensor fault and state estimation in land vehicles are specialized in this study. Owing to the essential attributes of robust theory-based observers, an H-infinity adaptive observer is proposed to implement the fault reconstructions of faulty sensors, offering a reference to vehicles for further favorable control decision-making. This observer fuses a linear matrix inequality convex optimization strategy, with the dynamics of land vehicles established mathematically, the consequent problems associated with augmented descriptor system state-space model, Lyapunov stability and linear matrix inequality convex optimization are discussed in detail. The numerical simulations on vehicular systems that suffered with single-existing deadlocking, gain scheduling, and constant deflection sensor fault are conducted. The results indicate, the fault channel outputs fairly reflect the variations of real faults under severe step-type fault input circumstances, so that the applicability of the fault observer against sensor failures is guaranteed. The proposed sensor fault construction idea is further extended to a loosely coupled inertial measurement units/global positioning system (GPS) illustration with GPS unavailable in its north velocity channel. After reconstructing the priori system state for ���State one-step prediction��� of Kalman filter, the compensated navigation parameters by state estimator exhibit consistent with the references as expected, the vehicle chassis dynamics-based sensor fault construction method, therefore, may be recognized as an effective measure to a class of integrated navigation systems experiencing some unknown sensor failures.

Publication Date


  • 2020

Citation


  • Xia, L., Cong, J., Xu, X., Gao, Y., & Zhang, S. (2020). H-infinity adaptive observer enhancements for vehicle chassis dynamics-based navigation sensor fault construction. International Journal of Advanced Robotic Systems, 17(2). doi:10.1177/1729881420904215

Scopus Eid


  • 2-s2.0-85082532325

Web Of Science Accession Number


Volume


  • 17

Issue


  • 2

Place Of Publication