Robust Fault‐Tolerant Control of Launch Vehicle Via <scp>GPI</scp> Observer and Integral Sliding Mode Control

Zhao, Dangjun; Wang, Yongji; Liu, Lei; Wang, Zhi-Shen

doi:10.1002/asjc.564

Cited by 32 publications

(25 citation statements)

References 18 publications

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“…SiraRamírez, Ramírez-Neria, & Rodríguez-Ángeles, 2010;Zhao, Wang, Liu, & Wang, 2013) the boundedness of r (p) (t) is NOT assumed a priori, but it is formally proven.…”

Section: Preliminaries On the Gpi Control-observer Designmentioning

confidence: 98%

On the GPI approach with unknown inertia matrix in robot manipulators

Arteaga

Gutiérrez–Giles

2013

International Journal of Control

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This article discusses the design of generalised proportional integral observers for the tracking control of robot manipulators. The unknown, possibly state-dependent, additive nonlinearity influencing the input-output description, in terms of the tracking error dynamics is modelled for observer construction purposes, as an absolutely bounded, additive, unknown timevarying perturbation input signal. A disadvantage of the approach lies in the fact that the system inertia matrix is usually required for implementation. In this work, it is shown how the approach can be modified to avoid the use of the inertia matrix when it is unknown. A set of experiments with three different test beds is carried out to show the good performance of the proposed algorithm.

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“…SiraRamírez, Ramírez-Neria, & Rodríguez-Ángeles, 2010;Zhao, Wang, Liu, & Wang, 2013) the boundedness of r (p) (t) is NOT assumed a priori, but it is formally proven.…”

Section: Preliminaries On the Gpi Control-observer Designmentioning

confidence: 98%

On the GPI approach with unknown inertia matrix in robot manipulators

Arteaga

Gutiérrez–Giles

2013

International Journal of Control

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“…However, in many applications, full states usually cannot be obtained easily. Hence, a lot of state observers for linear/nonlinear systems had been successfully developed [6,7,[17][18][19][20][21][22][23][24][25]. But most of the observers can only achieve asymptotical stability and require infinite time to estimate the system state in theory.…”

Section: Introductionmentioning

confidence: 99%

Multivariable Output Feedback Adaptive Terminal Sliding Mode Control for Underwater Vehicles

Wang¹,

Gao³

et al. 2014

Asian Journal of Control

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For the four degrees of freedom (4‐DOF) trajectory tracking control problem of underwater vehicles in the presence of parametric uncertainties and external disturbances, a novel multivariable output feedback adaptive nonsingular terminal sliding mode control (ANTSMC) approach is proposed based on the equivalent output injection adaptive sliding mode observer (ASMO) and ANTSMC method. The ASMO is applied to reconstruct the full states in finite time and the ANTSMC method is designed to stabilize the trajectory tracking error to a small field in finite time. The proposed output feedback ANTSMC approach, using the adaptive technology, does not require the bound information of parametric uncertainties or external disturbances which successfully achieves the decrease of undesired chattering effectively. Corresponding stability analysis is presented. Comparative numerical simulation results are presented to validate the effectiveness of the proposed approach.

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“…Over the past decade remarkable progress has been made in the field of model-based fault detection and diagnosis [1][2][3][4][5]. Numerous techniques for model-based fault detection and tolerance have been proposed and incorporated in complex processes and automated systems [6][7][8][9][10]. Model-based fault detection schemes rely heavily upon the available system model.…”

Section: Introductionmentioning

confidence: 99%

Robust Fault Detection Using Subspace Aided Data Driven Design

Hussain¹,

Khan²,

Abid³

2015

Asian Journal of Control

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The paper deals with the design of robust fault detection system using subspace aided data driven techniques. Because of unavailability of system matrices for the complex processes, a new algorithm has been proposed to identify a robust parity vector directly from the process data. The identified parity vector is used to construct a residual generator having robustness against the process and sensor noises and increased sensitivity to actuator and sensor faults. The performance of the proposed fault detection scheme has been analyzed by simulation studies on a coupled liquid three tank system (CLTS).

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Robust Fault‐Tolerant Control of Launch Vehicle Via GPI Observer and Integral Sliding Mode Control

Cited by 32 publications

References 18 publications

On the GPI approach with unknown inertia matrix in robot manipulators

On the GPI approach with unknown inertia matrix in robot manipulators

Multivariable Output Feedback Adaptive Terminal Sliding Mode Control for Underwater Vehicles

Robust Fault Detection Using Subspace Aided Data Driven Design

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