Simplified brain storm optimization approach to control parameter optimization in F/A-18 automatic carrier landing system

Li, Junnan; Duan, Haibin

doi:10.1016/j.ast.2015.01.017

Cited by 73 publications

(14 citation statements)

References 35 publications

(33 reference statements)

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“…In References 17 and 18, improved backstepping control methods have been proposed for carrier‐based UAVs, in which accurate tracking was maintained with some unknown aerodynamic parameters under the actuator faults. Moreover, several intelligent control techniques have also been discussed, such as improved pigeon inspired optimization (PIO) with predefined control architecture, 19 neural network‐based control, 20,21 neural network adaptive control, 22 intelligent optimization algorithm based control, 23 simplified brain storm optimization (SBSO) based control, 24 and fuzzy‐sliding mode control 25 . However, these methods are very difficult to implement in practical applications due to complexity in methodology.…”

Section: Introductionmentioning

confidence: 99%

Adaptive preview control with deck motion compensation for autonomous carrier landing of an aircraft

Bhatia

JiangJu

KumarAakash

et al. 2021

Adaptive Control & Signal

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In this article, an autonomous carrier landing problem of an aircraft is addressed by developing an autonomous carrier landing system (ACLS) composed of previewable guidance and control systems. In the guidance system, an appropriate touchdown point is estimated by predicting the seakeeping motion of the deck by unscented Kalman filtering technique, which is then utilized to adjust the reference glide path and produce an effective deck motion compensation, indispensable for a safe landing. The adaptive preview control (APC) scheme is proposed, which utilizes future reference information. The feedback and feedforward adaptive gains are derived through the Lyapunov stability theorem ensuring better tracking response and disturbance rejection. Hence, the asymptotic stability of the closed‐loop system is guaranteed. The simulation results depict better performance of the proposed ACLS in the presence of deck fluctuations and airwake disturbance compared with PID and LMI based preview control schemes.

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Section: Introductionmentioning

confidence: 99%

Adaptive preview control with deck motion compensation for autonomous carrier landing of an aircraft

Bhatia

JiangJu

KumarAakash

et al. 2021

Adaptive Control & Signal

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“…11 The brain storming algorithm is employed to optimize the key parameters of ACLS and improve the performance of the control system in the frequency domain. 12 A model reference adaptive control approach is adopted to design an ACLS control law under the condition of external uncertainties, and the air wake disturbance can be obviously reduced and the robustness of the control system is especially ensured. 13,14 Some representative methods in tracking the approach trajectory are researched, such as discrete-time transfer matrix 15 and linear envelope method.…”

Section: Introductionmentioning

confidence: 99%

Automatic flight control design considering objective and subjective risks during carrier landing

Wang

Zhang

Zhu

2019

Proceedings of the Institution of Mechanical Engineers, Part I:

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In this article, a design scheme of automatic carrier landing system control law based on combination of the objective risk and the subjective risk is proposed, in order to improve the safety and flying quality of the landing. The nonlinear longitudinal mathematical model is constructed in the air wake turbulence condition during carrier landing, which is transformed into a linear perturbed model by the state-space equations with deviation state variables. The concepts of the objective risk and the subjective risk in the recovery of an aircraft aboard a carrier are addressed. A principle of predicting the future states based on the current ones is put forward so that a mathematic model for the objective risk is established, synthetically considering the current and future landing state deviations. For the other risk, the corresponding model is obtained by the subjective experiences of the pilots in the flight simulation tests. Furthermore, a novel model predictive control algorithm, which contains the additional subjective risk and the time-varying weights of the state terms, is proposed. Automatic carrier landing control law is built by introducing the objective risk, the subjective risk, and the effect of carrier air wake disturbance. In the rolling optimization progress, these time-varying weights are dynamically tuned according to the constantly changing objective risk to control the state deviations and suppress this risk, while the subjective risk is handled by the additional risk terms. Besides, the action of carrier air wake disturbance is considered and compensated in the derivation of the linear matrix inequalities. Test results based on a semi-physical simulation platform indicate that the new automatic carrier landing system control algorithm proposed by this article brings about an excellent carrier landing performance as well as an improved flying quality.

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“…Moreover, coordinated landing control was designed in [7] so that unmanned aerial vehicle can track the generalised landing trajectory generated by the optimisation of the steady landing condition. Optimisation approach has been utilised in automatic carrier landing system [8] as well, the authors presented a novel method based on simplified brain storm optimisation algorithm to optimise the control parameters. Other landing methods include vision‐guided landing methods [9, 10], parameters optimisation algorithm [11, 12], and invariant ellipsoid method [4].…”

Section: Introductionmentioning

confidence: 99%

Saturated adaptive sliding mode control for autonomous vessel landing of a quadrotor

Huang

Zheng

Sun

et al. 2018

IET Control Theory & Applications

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Simplified brain storm optimization approach to control parameter optimization in F/A-18 automatic carrier landing system

Cited by 73 publications

References 35 publications

Adaptive preview control with deck motion compensation for autonomous carrier landing of an aircraft

Adaptive preview control with deck motion compensation for autonomous carrier landing of an aircraft

Automatic flight control design considering objective and subjective risks during carrier landing

Saturated adaptive sliding mode control for autonomous vessel landing of a quadrotor

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