Terminal angle constrained time‐varying sliding mode guidance law with autopilot dynamics and input saturation

Wang, Xinxin; Lan, Ge; Yang, Yefeng; Lu, Hongqian; Huang, Xing

doi:10.1002/asjc.2893

Cited by 5 publications

(7 citation statements)

References 45 publications

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“…For the transformed error 𝜏 t in (31), if 𝜏 t satisfies 𝜏 t → 0 when t → ∞, the steady-state of the tracking error becomes…”

Section: Modified Prescribed Performance Functionmentioning

confidence: 99%

See 1 more Smart Citation

Discrete‐time extended state observer‐based model‐free adaptive constrained sliding mode control with modified prescribed performance via CFDL and PFDL

Huang,

Dong,

Zhang

et al. 2023

Asian Journal of Control

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To tackle the trajectory tracking problem and achieve high control accuracy in many actual nonlinear systems with unknown dynamics and input saturation, a novel discrete‐time extended state observer‐based model‐free adaptive constrained sliding mode control with modified prescribed performance is investigated via compact‐form dynamic linearization (CFDL) and partial‐form dynamic linearization (PFDL). Firstly, the original non‐affine system is turned into an affine one comprising an unknown nonlinear term and a linearly parametric term affine to the input via both PFDL and CFDL. Then, a discrete‐time extended state observer (DESO) is used to estimate the lumped disturbance containing the unknown nonlinear time‐varying term and the term relevant to the estimation error of pseudo partial derivative (PPD) parameter. Furthermore, a modified prescribed performance function is introduced in the model‐free adaptive sliding mode control scheme to keep the output tracking error in the prescribed bound without causing any asymmetric offset error in the steady‐state. Meanwhile, to suppress the influence of input saturation on the control system, an anti‐windup compensator is used. Finally, rigorous theoretical analyses show the robust convergence of the tracking error via the proposed CFDL and PFDL‐based methods under external disturbances. Simulations verify the superiority of the modified prescribed performance function, DESO, and anti‐windup compensator in the proposed method. Also, the effects of the PFDL‐based method and the CFDL‐based one are compared during the simulation.

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“…For the transformed error 𝜏 t in (31), if 𝜏 t satisfies 𝜏 t → 0 when t → ∞, the steady-state of the tracking error becomes…”

Section: Modified Prescribed Performance Functionmentioning

confidence: 99%

“…If the input constraint problem is not considered during the siding mode controller design process, the closed-loop system might be unstable for the integral saturation of SMC. For now, input constraint has been contained in many real scenarios [30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Discrete‐time extended state observer‐based model‐free adaptive constrained sliding mode control with modified prescribed performance via CFDL and PFDL

Huang,

Dong,

Zhang

et al. 2023

Asian Journal of Control

View full text Add to dashboard Cite

show abstract

“…Subsequent studies [9,10] have been improved on the basis of TSG, thereby solving problems such as extending to three-dimensional planes or adding bias terms, and solving constraints such as impact time. Subsequently, nonlinear control methods, such as sliding mode control [11][12][13], were also applied to IACG problems to design non-singular terminal guidance laws to effectively realize angle control. The above guidance laws to realize the precise control of the impact angle are inseparable from the current time to go, which can be obtained by making calculations according to the current distance.…”

Section: Introductionmentioning

confidence: 99%

Minimum-Data-Driven Guidance for Impact Angle Control

Liu,

Wang,

et al. 2024

Aerospace

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This paper investigates the impact-angle-control guidance problem for varying-speed flight vehicles with constrained acceleration. A learning-based bias proportional navigation guidance (L-BPN) law is proposed to achieve impact-angle-constrained impact by constructing a deep neural network (DNN) for nonlinear mapping between the impact angle and the bias term. During the process of dataset establishment, the impact of state variables is evaluated by sensitivity analysis to minimize the quantity of training data. This approach also effectively accelerates sample generation and improves the training efficiency. The simulation results verify the effectiveness of the proposed L-BPN law and demonstrate its advantages over the existing algorithms.

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“…For the limitation (i), neglecting autopilot lag can destroy the fast finite-time convergent performance and even reduce the guidance precision, especially against a maneuvering target [22]. Thus, considering autopilot lag compensation (ALC) is necessary.…”

Section: Introductionmentioning

confidence: 99%

Fixed-Time Convergent Guidance Law with Angle Constraint and Autopilot Lag Compensation Using Partial-State Feedback

Xu,

Wang,

Niu

et al. 2023

Aerospace

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In this paper, by accounting for the angle constraint (AC) and autopilot lag compensation (ALC), a novel fixed-time convergent guidance law is developed based on a fixed-time state observer and bi-limit homogeneous technique. The newly proposed guidance law exhibits three attractive features: (1) unlike existing guidance laws with AC and ALC which can only guarantee asymptotic stability or finite-time stability, the newly proposed guidance scheme can achieve fixed-time stability. Thus, the newly proposed scheme can drive the guidance error to zero within bounded time which is independent of the initial system conditions. (2) To compensate for autopilot lag, existing guidance schemes need the unmeasurable second derivative of the range along line-of-sight (LOS) and second derivative of LOS angle or the derivative of missile’s acceleration. Without using these unmeasurable states, the newly proposed guidance law still can guarantee the fixed-time stability. (3) By using the bi-limit homogeneous technique to construct an integral sliding-mode surface, the proposed scheme eliminates the singular problem without using the commonly-used approximate method in recent fixed-time convergent guidance schemes. Finally, the simulation results demonstrate the effectiveness of the proposed scheme.

show abstract

Terminal angle constrained time‐varying sliding mode guidance law with autopilot dynamics and input saturation

Cited by 5 publications

References 45 publications

Discrete‐time extended state observer‐based model‐free adaptive constrained sliding mode control with modified prescribed performance via CFDL and PFDL

Discrete‐time extended state observer‐based model‐free adaptive constrained sliding mode control with modified prescribed performance via CFDL and PFDL

Minimum-Data-Driven Guidance for Impact Angle Control

Fixed-Time Convergent Guidance Law with Angle Constraint and Autopilot Lag Compensation Using Partial-State Feedback

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