RBF neural network based second-order sliding mode guidance for Mars entry under uncertainties

Li, Shuang; Jiang, Xiuqiang

doi:10.1016/j.ast.2015.03.006

Cited by 61 publications

(30 citation statements)

References 22 publications

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“…It can be easily observed from that longitudinal motion equations are decoupled with the lateral motion equations . For entry guidance law, bank angle modulation needs to be designed by taking into consideration the longitudinal motion profile firstly.…”

Section: Entry Problemmentioning

confidence: 99%

“…Among these requirements, it has been reported that the parachute deployment altitude plays a vital role on the safety of the final landing. Due to the relationship between radial distance r and altitude h ( r = h + r s , r s is the Earth radius), the radial distance tracking is often chosen as the major concern of trajectory tracking …”

Section: Entry Problemmentioning

confidence: 99%

“…It can be easily observed from (1)-(7) that longitudinal motion equations are decoupled with the lateral motion equations. 7,8,15 For entry guidance law, bank angle modulation needs to be designed by taking into consideration the longitudinal motion profile firstly. Then, the bank reversal maneuver logic is used to ensure that the vehicle follows the symmetric lateral error corridor and reaches the desired position.…”

Section: Longitudinal Dynamic Equationsmentioning

confidence: 99%

“…8 Recently, a great number of control approaches are investigated to address the trajectory tracking problem, such as PID, 9 linear quadratic regular, 10 active disturbance rejection control, 11 incremental dynamic inversion technique, 12 and sliding mode control (SMC). [13][14][15] However, the closed-loop guidance systems in the preceding literature are only asymptotic stable. Due to the short duration of entry phase, finite-time convergence of system is an indispensable feature for entry guidance.…”

Section: Introductionmentioning

confidence: 99%

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Finite‐time trajectory tracking control for entry guidance

Shen

Xia

Zhang

et al. 2018

Intl J Robust & Nonlinear

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Summary In this paper, the trajectory tracking guidance problem is investigated for entry vehicle in the presence of uncertainty. First, a robust nonsingular fast terminal sliding mode control law is designed to guarantee the finite‐time tracking performance under uncertainty. Then, to eliminate the need of prior information about uncertainty and mitigate the chattering, a novel adaptive nonsingular fast terminal sliding mode control is proposed by employing adaptive parameter tuning law. Furthermore, with the help of designed adaptation mechanism, the proposed adaptive nonsingular fast terminal sliding mode control can achieve finite‐time convergence of both tracking errors and parameter estimation errors simultaneously. Finally, numerical simulations are given to demonstrate the effectiveness and high‐precision tracking performance of the proposed controllers.

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Section: Entry Problemmentioning

confidence: 99%

Section: Entry Problemmentioning

confidence: 99%

Section: Longitudinal Dynamic Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Finite‐time trajectory tracking control for entry guidance

Shen

Xia

Zhang

et al. 2018

Intl J Robust & Nonlinear

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“…Mars entry guidance issue. Li et al (2015) developed neural network based second-order sliding mode guidance for 76…”

mentioning

confidence: 99%

Antiwindup Terminal Sliding Mode Control for Mars Entry Using Supertwisting Sliding Mode Disturbance Observer

Jiang

2018

J. Aerosp. Eng.

Self Cite

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Uncertainty and external disturbance during Mars entry process inevitably degrade the performance of Mars 5 entry guidance and control algorithms. Traditional approaches focus on suppressing disturbances and compensating 6 uncertainties, which usually results in larger control responses beyond the limited control capability of Mars entry 7vehicle. This paper further takes the limited actuator ability into consideration, and proposes the Mars entry robust 8 attitude control strategy using the terminal sliding mode control (TSMC) with anti-windup (AW) and super-twisting 9 sliding mode disturbance observer (SMDO). First, terminal sliding mode control with anti-windup is developed to 10 robustly track the nominal attitude command under uncertainty and limited control capability. Then, the super-twisting 11 sliding mode disturbance observer is introduced to online estimate the disturbances and further enhance the attitude 12 control accuracy and robustness. Finally, the comparison simulation results illustrate that the proposed control strategy 13 not only performs well in tracking the reference commands even in the presence of uncertain disturbance but also avoids 14 control saturation issue. 15 16

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Adaptive sliding‐mode control for Mars entry trajectory tracking with finite‐time convergence

Shen

Xia

et al. 2018

Intl J Robust & Nonlinear

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This paper presents a novel adaptive sliding-mode control (ASMC) method for Mars entry guidance and the finite-time convergence in the presence of large uncertainties can be guaranteed. With the help of gain adaptive law, the nonoverestimating value of control gains can be achieved, and then, the chattering can be attenuated by the proposed ASMC method. Meanwhile, the extended state observer is introduced to estimate and compensate for uncertainties and the nonoverestimating problem is resolved further. In addition, the proposed method does not require any knowledge on the upper bound of uncertainty, which yields to be used in practical systems. Finally, the numerical simulation results are given to demonstrate the effectiveness of the proposed guidance law.

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RBF neural network based second-order sliding mode guidance for Mars entry under uncertainties

Cited by 61 publications

References 22 publications

Finite‐time trajectory tracking control for entry guidance

Finite‐time trajectory tracking control for entry guidance

Antiwindup Terminal Sliding Mode Control for Mars Entry Using Supertwisting Sliding Mode Disturbance Observer

Adaptive sliding‐mode control for Mars entry trajectory tracking with finite‐time convergence

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