Adaptive fin failures tolerant integrated guidance and control based on backstepping sliding mode

Ashrafifar, Asghar; Jegarkandi, Mohsen Fathi

doi:10.1177/0142331219897430

Cited by 5 publications

(1 citation statement)

References 27 publications

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“…However, only in the last few years there has been some research work on fault tolerant control (FTC) combined with integrated guidance and control (IGC). Such as actuator faults [13][14][15] , sensor fault [16] , the magnitude loss fault of the guidance command [17] , fin failures [18] .In two references about STT missile, for time-varying actuator faults and multi-source uncertainties, a reconfigurable IGC structure was constructed by Wang et al, and guaranteed high hit accuracy of the missile [14] . In [15], an impact angle constrained fuzzy fault-tolerant integrated guidance control method was proposed by Guo et al for unstable aerodynamics and multiple disturbances.…”

Section: Introductionmentioning

confidence: 99%

Reinforcement Learning Adaptive Risk-Sensitive Fault-Tolerant IGC Method for a Class of STT Missile with Non-Affine Characteristics, Stochastic Disturbance and Unknown Uncertainties

Wang

Hao

2023

Preprint

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In this paper, a novel reinforcement learning adaptive risk-sensitive fault-tolerant stochastic non-affine integrated guidance and control (NAIGC) method is proposed for a class of skid-to-turn (STT) missiles. The cost standard of the risk-sensitive index we coveted can be arbitrarily small, ensured by solving a specific inequality. Firstly, an extended integration system is introduced to solve the challenging control problem posed by the non-affine form of the control signal, taking into account the non-affine nature in the missile. Secondly, for random noise and unknown non-linearities in NAIGC systems, a reinforcement learning actor-critic adaptive risk-sensitive control method is proposed to ensure the input-state stability of the system. Subsequently, hyperbolic tangent functions and adaptive boundary estimation are used to reduce disturbance-induced jitter and actuator fault-induced bias in the control system. In addition, the proposed control strategy improves the missile's interception performance against maneuvering targets and reduces the conservatism of existing adaptive robust control methods. Ultimately, not only is the stability of the NAIGC closed-loop system demonstrated using Lyapunov theory, but the effectiveness and superiority of the method is also verified through numerical simulations.

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Section: Introductionmentioning

confidence: 99%

Reinforcement Learning Adaptive Risk-Sensitive Fault-Tolerant IGC Method for a Class of STT Missile with Non-Affine Characteristics, Stochastic Disturbance and Unknown Uncertainties

Wang

Hao

2023

Preprint

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Reinforcement learning adaptive risk-sensitive fault-tolerant IGC method for a class of STT missile

Wang,

Hao

2024

Nonlinear Dyn

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Reinforcement learning-adaptive fault-tolerant IGC method for a class of aircraft with non-affine characteristics and multiple uncertainties

Wang,

Hao,

Liu

et al. 2024

Aeronaut. j.

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In this paper, a brand-new adaptive fault-tolerant non-affine integrated guidance and control method based on reinforcement learning is proposed for a class of skid-to-turn (STT) missile. Firstly, considering the non-affine characteristics of the missile, a new non-affine integrated guidance and control (NAIGC) design model is constructed. For the NAIGC system, an adaptive expansion integral system is introduced to address the issue of challenging control brought on by the non-affine form of the control signal. Subsequently, the hyperbolic tangent function and adaptive boundary estimation are utilised to lessen the jitter due to disturbances in the control system and the deviation caused by actuator failures while taking into account the uncertainty in the NAIGC system. Importantly, actor-critic is introduced into the control framework, where the actor network aims to deal with the multiple uncertainties of the subsystem and generate the control input based on the critic results. Eventually, not only is the stability of the NAIGC closed-loop system demonstrated using Lyapunov theory, but also the validity and superiority of the method are verified by numerical simulations.

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Adaptive fin failures tolerant integrated guidance and control based on backstepping sliding mode

Cited by 5 publications

References 27 publications

Reinforcement Learning Adaptive Risk-Sensitive Fault-Tolerant IGC Method for a Class of STT Missile with Non-Affine Characteristics, Stochastic Disturbance and Unknown Uncertainties

Reinforcement Learning Adaptive Risk-Sensitive Fault-Tolerant IGC Method for a Class of STT Missile with Non-Affine Characteristics, Stochastic Disturbance and Unknown Uncertainties

Reinforcement learning adaptive risk-sensitive fault-tolerant IGC method for a class of STT missile

Reinforcement learning-adaptive fault-tolerant IGC method for a class of aircraft with non-affine characteristics and multiple uncertainties

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