A multivariable adaptive control scheme for automatic carrier landing of UAV

Zhen, Ziyang; Tao, Gang; Yu, Chaojun; Xue, Yixuan

doi:10.1016/j.ast.2019.06.030

Cited by 51 publications

(20 citation statements)

References 21 publications

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“…Recent technological advancements have enabled engineers and researchers to address this difficulty by developing autonomous carrier landing systems (ACLSs) for an aircraft, intending to replace the manual control system. In recent years, several conventional control methods have been suggested for development of the ACLS 2‐10 . In References 11‐13, proportional‐integral‐derivative (PID) control based ALS have been proposed that maintains the required flight altitude and descent velocity.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, a PC scheme can be advantageous in ACLSs, due to the availability of prior knowledge of the reference glide path. Researchers in Reference 5 have already shown satisfactory performance with the adaptive controller for autonomous carrier landing applications. Therefore, adaptability with the preview controller will improve the autonomous carrier landing performance.…”

Section: Introductionmentioning

confidence: 99%

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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%

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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“…The authors of [7,8] established a multi-body dynamics simulation model of the rope hook recovery system, simulated the recovery arresting process, compared it with the experimental results, and verified the rationality of the model [7,8]. In another study, the authors adopted a multi-variable state feedback output tracking model reference adaptive control (MRAC) method to achieve the high-precision tracking control of UAVs in the shipborne landing stage [9,10]. A height controller based on the rate of height change, and a trajectory tracking controller based on track angle and lateral deviation, were proposed in [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Rope-Hook Recovery Controller Designed for a Flying-Wing UAV

Zhao¹,

Bing²,

Guo³

et al. 2021

Aerospace

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Due to the complexity of landing environments, precision guidance and high-precision control technology have become key to the rope-hook recovery of shipborne unmanned aerial vehicles (UAVs). The recovery process was divided into three stages and a reasonable guidance strategy had been designed for them, respectively. This study separated the guidance and control issues into an outer guidance loop and an inner control loop. The inner loop (attitude control loop) controled the UAV to follow the acceleration commands generated by the outer loop (trajectory tracking loop). The inner loop of the longitudinal controller and the lateral controller were designed based on active disturbance rejection control (ADRC), which has strong anti-interference ability. In the last phase, the outer loop of the longitudinal controller switched from a total energy control system (TECS), which greatly decoupled the altitude channel and speed channel, to the proportional navigation (PN) guidance law, while the outer loop of lateral controller switches from the proportional control law based on the L1 guidance law, which can reduce the tracking error and deviation, to the PN guidance law, which considerably enhances the tracking precision. Finally, the simulation data and flight test data show that the controller has strong robustness and good tracking precision, which ensures safe rope-hook recovery.

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“…5 Wang et al 6 studied a model predictive control scheme to design an improved guidance law to reduce automatic landing risk. Zhen et al 7 used a multivariable model reference adaptive control for the automatic landing control problem of unmanned aerial vehicles. Zhu and Yang 8 introduced an adaptive sliding mode controller based on the dynamic recurrent fuzzy neural network for the automatic landing system design.…”

Section: Introductionmentioning

confidence: 99%

Adaptive feedforward control for crosswind landing with variable step size

Bian

Zhang

2021

Proceedings of the Institution of Mechanical Engineers, Part G:

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In this article, a modified Steiglitz–McBride (SM) structure with variable step size is proposed for aircraft feedforward control to reduce lateral landing deviation in the presence of crosswind disturbance. Currently, most of the aircraft landing studies focus on the trajectory tracking problems in the longitudinal plane and seldom focus on lateral disturbances. This article develops a modified SM structure–based feedforward control system to online estimate both the primary path and the control path (secondary path), where a fuzzy logic–based variable step size strategy is implemented to ensure fast convergence rate and strong robustness under complex crosswind scenarios. As a consequence, the lateral deviation during crosswind landing could be largely reduced as fast as possible while the stability of the flight control system is maintained. A Boeing 747 model is used as a test bed, and the simulations are carried out on two different crosswind conditions to demonstrate the feasibility and effectiveness of the proposed method.

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A multivariable adaptive control scheme for automatic carrier landing of UAV

Cited by 51 publications

References 21 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

Rope-Hook Recovery Controller Designed for a Flying-Wing UAV

Adaptive feedforward control for crosswind landing with variable step size

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