Fixed-time autonomous shipboard landing control of a helicopter with external disturbances

Huang, Yanting; Zhu, Ming; Zheng, Zewei; Feroskhan, Mir

doi:10.1016/j.ast.2018.07.032

Cited by 61 publications

(35 citation statements)

References 48 publications

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“…Content may change prior to final publication. (16) A detailed derivation process of the symplectic pseudospectral algorithm based on the second kind of generating function, as well as the meaning and specific expressions of the variables involved in Eq. (13)- (16), can be found in the Reference [28] [36].…”

Section: A Trajectory Tracking Optimal Control Problemmentioning

confidence: 99%

“…Subsequently, robust controllers for each of the two channels were designed separately. In addition, many scholars have applied optimal control [12] [13], preview control [14] [15], sliding control [16], fuzzy control [17] and adaptive control [18] [19] technologies to the carrier landing trajectory control, and satisfactory control results are obtained.…”

Section: Introductionmentioning

confidence: 99%

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Receding Horizon Longitudinal Control Technology for Automatic Carrier Landing With Variable Reference Trajectory Based on Sliding Rate Information

et al. 2020

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In this paper, the longitudinal control of automatic carrier landing is studied. First, the carrier landing control problem is transformed into an optimal control problem of trajectory tracking. Considering the constraints of the control variables and the rate of change of control variables in the realistic landing process, the original linear small disturbance model is expanded. Based on the symplectic pseudospectral method and the adaptive regression prediction technology, a fast receding horizon carrier landing control technology with a variable reference trajectory is developed. Finally, the effectiveness of the control algorithm is verified by simulations at different sea states, initial deviations, and reference trajectory selection strategies. The simulation results demonstrate that the introduction of deck motion prediction can greatly reduce the phase delay of the control system and enhance the tracking ability of the carrier-based aircraft and improve the control effectiveness significantly. The proposed algorithm can precisely control the carrier landing trajectory under initial deviations, the external continuous wind disturbances, and random error of the state variables. Additionally, the calculation efficiency of the present control algorithm is sufficient for real-time online tracking.

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Section: A Trajectory Tracking Optimal Control Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Receding Horizon Longitudinal Control Technology for Automatic Carrier Landing With Variable Reference Trajectory Based on Sliding Rate Information

et al. 2020

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“…T HE pose motion control of the rigid body is a hot topic in the automation field for many years, since it is the physical nature of many kinds of man-made moving bodies in practice, such as the motions of automotive vehicles [1], aircrafts [2], spacecraft [3], marine vessels [4] and formations [5]. In particular, the relative motion between two vehicles is very common in advanced modern industry, such as the air refueling [6], shipboard landing [7], space docking [8] and underwater docking [9]. In these missions, the close-range relative pose motion model should be established carefully for the model-based control system design.…”

Section: Introductionmentioning

confidence: 99%

Robust Hierarchical Adaptive Fuzzy Relative Motion Coordination for Feature Points of Two Rigid Bodies With Input and Output Constraints

Sun

Jiang

2022

IEEE Trans. Fuzzy Syst.

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Jingjing Jiang received the B.E. Degree in Electrical and Electronic Engineering from the University of Birmingham, UK, and the Harbin Institute of Technology, China, in 2010, the M.Sc. degree in Control Systems from Imperial College London, UK, in 2011, and the Ph.D degree from Imperial College London, in 2016. She carried out research as part of the Control and Power Group at Imperial College and joined Loughborough University as a Lecturer in September 2018. Her current research interests include driver assistance control and autonomous vehicle control design, control design of systems with constraints and human-in-the-loop.

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“…One of the four fundamental principles of the Fourth Industrial Revolution (4IR) is the decentralisation of decisions for machines. This means increased autonomy of systems to make their own decisions in order to perform specific tasks without human intervention or supervision, especially in the presence of uncertainty and external disturbances [1]. Unmanned aerial vehicles (UAVs) have been at the forefront of autonomous systems, with specific applications already demonstrated in the military environment, such as surveillance, reconnaissance, evacuation and payload delivery, and civil applications such as filming, crop dusting, parcels and medical aid delivery [2].…”

Section: Introductionmentioning

confidence: 99%

“…This performance specification for autonomy has resulted in high complexity in the rotorcraft flight control system. Significant effort has been devoted to improving the performance and reliability of flight control systems in the past two decades [1], and the increase in computational power and communication bandwidth has made possible some of the improvements that have eluded control engineers in recent years [5].…”

Section: Introductionmentioning

confidence: 99%

Optimised Tuning of a PID-Based Flight Controller for a Medium-Scale Rotorcraft

Mpanza

Pedro

2021

Algorithms

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This paper presents the parameter optimisation of the flight control system of a singlerotor medium-scale rotorcraft. The six degrees-of-freedom (DOF) nonlinear mathematical model of the rotorcraft is developed. This model is then used to develop proportional–integral–derivative (PID)-based controllers. Since the majority of PID controllers installed in industry are poorly tuned, this paper presents a comparison of the optimised tuning of the flight controller parameters using particle swarm optimisation (PSO), genetic algorithm (GA), ant colony optimisation (ACO) and cuckoo search (CS) optimisation algorithms. The aim is to find the best PID parameters that minimise the specified objective function. Two trim conditions are investigated, i.e., hover and 10 m/s forward flight. The four algorithms performed better than manual tuning of the PID controllers. It was found, through numerical simulation, that the ACO algorithm converges the fastest and finds the best gains for the selected objective function in hover trim conditions. However, for 10 m/s forward flight trim, the GA algorithm was found to be the best. Both the tuned flight controllers managed to reject a gust wind of up to 5 m/s in the lateral axis in hover and in forward flight.

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Fixed-time autonomous shipboard landing control of a helicopter with external disturbances

Cited by 61 publications

References 48 publications

Receding Horizon Longitudinal Control Technology for Automatic Carrier Landing With Variable Reference Trajectory Based on Sliding Rate Information

Receding Horizon Longitudinal Control Technology for Automatic Carrier Landing With Variable Reference Trajectory Based on Sliding Rate Information

Robust Hierarchical Adaptive Fuzzy Relative Motion Coordination for Feature Points of Two Rigid Bodies With Input and Output Constraints

Optimised Tuning of a PID-Based Flight Controller for a Medium-Scale Rotorcraft

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