2022
DOI: 10.1002/rnc.6270
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Constrained multi‐observer‐based fault‐tolerant disturbance‐rejection control for rigid spacecraft

Abstract: This article develops a multi-observer-based fault-tolerant disturbance-rejection control strategy to solve the attitude stabilization problem of spacecraft subject to multisource complex disturbances, for example, external disturbance, measurement error, actuator fault, input constraint. First, two intermediate variables are introduced for multi-observer design, so that the synergistic estimations of attitude information, actuator fault and external disturbance are obtained simultaneously. Then, a fault-toler… Show more

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Cited by 11 publications
(9 citation statements)
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“…[24][25][26] In practice, the external disturbances in space such as gravity gradient torque, aerodynamic torque, solar pressure torque, and magnetic torque are reasonable upper bounded. 12,20 3 CONTROL DEVELOPMENT…”
Section: Problem Statementmentioning
confidence: 99%
See 1 more Smart Citation
“…[24][25][26] In practice, the external disturbances in space such as gravity gradient torque, aerodynamic torque, solar pressure torque, and magnetic torque are reasonable upper bounded. 12,20 3 CONTROL DEVELOPMENT…”
Section: Problem Statementmentioning
confidence: 99%
“…This topic is also of practical importance as the controlled system may suffer from the degraded or unpredictable motion and thermal or mechanical failure if the controller commands more torque than the actuators can supply from the designed control 7,8 . This observation is supported by several elegant approaches for attitude stabilization of spacecraft with actuator constraints 9–12 …”
Section: Introductionmentioning
confidence: 99%
“…Many papers have been devoted to solving nonlinear control problems for hypersonic velocities, and many new controllers have been designed based on fault-tolerant control [5], robust control [6], adaptive control [7], predictive control [8], sliding mode control [9], and other control methods. The dynamic inverse controller is designed to actively compensate elastic disturbance and solve the system uncertainty problem [1,4].…”
Section: Introductionmentioning
confidence: 99%
“…From the above analysis, it can be seen that the traditional nonlinear control methods have poor robustness and stability, and it is difficult to solve the problem of parameter uncertainty and system model mismatch. Observers [7,20], neural networks [5,21,22], and other methods are used to actively compensate the system uncertainty, which have certain robustness. The sliding mode control method has obvious advantages in solving nonlinear problems with fast response and antidisturbance ability, but it still needs to solve the chattering problem.…”
Section: Introductionmentioning
confidence: 99%
“…The numerical analysis was carried out by timemarching approach. Recently, Shi et al and Liu et al [21,22] considered the control problem of a system with multisource complex disturbances, which may cause plenty of kinds of nonlinear phenomena, and the nonlinear behavior is analyzed and characterized [23][24][25]. Cooper et al [26] have developed a pragmatic approach to integrate test-based system identification and finite element (FE) modeling into a nonlinear structure that is mainly concerned with structural dynamics.…”
Section: Introductionmentioning
confidence: 99%