Adaptive fuzzy direct lift control of aircraft carrier-based landing

Sun, Xiaoyun; Jiang, Ju; Zhen, Ziyang; Wei, Ruonan

doi:10.1051/jnwpu/20213920359

Cited by 3 publications

(4 citation statements)

References 6 publications

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“…Similarly, if the value exceeds the reference range, the steady-state characteristics of the system weaken, leading to oscillations. [6,12] c r [8,15] To verify the applicability of the proposed AFSMFTC-based autonomous landing system, various simulations and comparative experiments are presented below.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Additionally, the landing environment is complex and highly variable, making it challenging to apply linear models effectively. Secondly, most studies were based on the hypothesis that CBA remains in their normal states without any faults [15,17,21,22]. whereas in reality, they are susceptible to combat damage and actuator faults due to complex flight environments and large variations in dynamic pressure in operational missions, leading to serious degradation of system performance and posing direct threats to landing safety.…”

Section: Discussionmentioning

confidence: 99%

“…Early landing control technology was mainly based on classical control [9][10][11], but that could not give CBA favourable landing performance in a complex landing environment. Therefore, scholars have provided many methods for improvement based on modern control theory, such as fixed-time control [12,13], dynamic inversion control [14], fuzzy control [15,16], predictive control [17,18], sliding-mode control [19,20], backstepping control [21] and adaptive control [22,23]. However, all the aforementioned studies were based on the hypothesis that CBA remains in their normal states without any faults, whereas in reality, they are susceptible to combat damage and actuator faults due to complex flight environments and large variations in dynamic pressure in operational missions, leading to serious degradation of system performance and posing direct threats to landing safety.…”

Section: Introductionmentioning

confidence: 99%

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Fault-Tolerant Control for Carrier-Based Aircraft Based on Adaptive Fuzzy Sliding-Mode Method

Xing,

2023

Applied Sciences

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Carrier-based aircraft landing involves complex system engineering characterised by strong nonlinearity, significant coupling and susceptibility to environmental disturbances, and autonomous landing of carrier-based aircraft under fault states is even more challenging and riskier. To address the control-system problems of loss of efficiency and performance due to actuator faults and performance degradation due to various unknown disturbances, presented here is fault-tolerant control for carrier-based aircraft based on adaptive fuzzy sliding-mode fault-tolerant control (AFSMFTC). First, three models are built (the carrier-based aircraft fault model, the carrier air wake model and the deck motion model), and the control framework of the autonomous landing control system is introduced. Next, a longitudinal and lateral flight channel controller comprising an adaptive fuzzy network, adaptive laws and a sliding-mode controller is designed using the AFSMFTC method. The adaptive fuzzy network implements fuzzy approximation for the sliding-mode switching terms to further offset errors induced by unknown disturbances, the adaptive laws compensate for actuator faults, and the sliding-mode controller ensures tracking of the overall flight path. Furthermore, the stability of the fault-tolerant method is demonstrated using the Lyapunov function. Finally, simulation and comparative experiments show that the proposed fault-tolerant method has outstanding control performance and strong fault-tolerant capability, thereby providing an effective and feasible solution for designing an autonomous landing system for carrier-based aircraft under fault states.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fault-Tolerant Control for Carrier-Based Aircraft Based on Adaptive Fuzzy Sliding-Mode Method

Xing,

2023

Applied Sciences

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“…Reference [7] proposed a new integrated direct lift control method to improve the control performance of fixed-wing aircrafts in response to guidance instructions. Reference [8] designed a longitudinal direct lift flight control system based on radial basis neural network adaptive control and verified the effectiveness and accuracy of the 6-DOF nonlinear aircraft model controller.…”

Section: Introductionmentioning

confidence: 99%

Research on Direct Lift Carrier-Based Unmanned Aerial Vehicle Landing Control Based on Performance Index Intelligent Optimization/Dynamic Optimal Allocation

Zhou

Wang

2023

Drones

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High-precision control problems for carrier-based UAVs are challenging due to the requirements for safety, high-performance operation and uncertain ocean environments. To address such problems, this paper proposes a direct lift landing control method that can ensure the safe operation of UAVs using intelligent optimization of control performance indicators and dynamic optimal allocation methods. The direct lift control (DLC) scheme is adopted to improve the operability of the control by introducing flap channels to achieve the fast correction of vertical disturbances. To improve the landing control performance, an intelligent optimization method for DLC gain is proposed, and a neural network relationship between parameter uncertainty and optimal DLC gain is established. In addition, a recursive least-squares identification method is used to estimate the uncertain parameters in real time, so that the established neural network can be used to generate the optimal DLC commands online, and the generated control commands can be assigned to multiple actuators of the carrier-based UAV through a dynamic optimal assignment algorithm. Finally, the superiority of the method is verified using simulation comparison.

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Fault-Tolerant Control for Carrier-Based UAV Based on Sliding Mode Method

Yao

Kan

Zhen

et al. 2023

Drones

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To enable a carrier-based unmanned aerial vehicle (UAV) to track the desired glide trajectory and safely land on the deck with the presence of system faults, this paper proposes a neural network-based adaptive sliding mode fault-tolerant control (NASFTC) method. Firstly, the dynamic model of the carrier -based UAV, the actuator fault model, the additional unknown fault model, and the control framework of the automatic carrier landing system (ACLS) were developed. Subsequently, controllers for both longitudinal and lateral channels were designed by using the NASFTC method. The controller consists of three parts: the adaptive laws for compensating the actuator faults, the RBF neural network for compensating the additional unknown faults, and the sliding mode method for ensuring overall trajectory tracking. Then, the Lyapunov function theorem was applied to carry out the stability analysis. Finally, comparative simulations under three different scenarios were conducted. The comparative results show the effectiveness of the proposed NASFTC method, which has fault-tolerant ability and can successfully control the aircraft to execute carrier landing task regardless of the actuator partial loss fault and the additional unknown fault.

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Adaptive fuzzy direct lift control of aircraft carrier-based landing

Cited by 3 publications

References 6 publications

Fault-Tolerant Control for Carrier-Based Aircraft Based on Adaptive Fuzzy Sliding-Mode Method

Fault-Tolerant Control for Carrier-Based Aircraft Based on Adaptive Fuzzy Sliding-Mode Method

Research on Direct Lift Carrier-Based Unmanned Aerial Vehicle Landing Control Based on Performance Index Intelligent Optimization/Dynamic Optimal Allocation

Fault-Tolerant Control for Carrier-Based UAV Based on Sliding Mode Method

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