A sequencing model for a team of aircraft landing on the carrier

Wu, Yu; Sun, Liguo; Qu, Xiangju

doi:10.1016/j.ast.2016.04.007

Cited by 31 publications

(20 citation statements)

References 20 publications

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“…In the algorithm design, geometrical spatial search algorithms and swarm optimization algorithms are used to obtain the optimal taxiing path. As to the landing task of carrier aircraft, the optimization of a landing sequence for a team of fixed-wing aircraft [23], the landing path determination for fixed-wing aircraft [24], and comparison between expert user heuristics and automatic planning tools [25] are given more attention. In Reference [23], a dynamic sequencing algorithm based on an ant colony optimization (ACO) algorithm was developed to optimize the landing sequence of aircraft, considering the landing failure of aircraft, which provides an intelligent tool for overall air traffic management on aircraft carriers.…”

Section: Literature Review and The Work Of This Papermentioning

confidence: 99%

“…As to the landing task of carrier aircraft, the optimization of a landing sequence for a team of fixed-wing aircraft [23], the landing path determination for fixed-wing aircraft [24], and comparison between expert user heuristics and automatic planning tools [25] are given more attention. In Reference [23], a dynamic sequencing algorithm based on an ant colony optimization (ACO) algorithm was developed to optimize the landing sequence of aircraft, considering the landing failure of aircraft, which provides an intelligent tool for overall air traffic management on aircraft carriers. Due to the fuzziness of environmental information, a TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution)-based group decision-making method was proposed to assist the pilot determining the most reasonable landing path under various environments [24].…”

Section: Literature Review and The Work Of This Papermentioning

confidence: 99%

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Path Planning for Autonomous Landing of Helicopter on the Aircraft Carrier

et al. 2018

Mathematics

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Helicopters are introduced on the aircraft carrier to perform the tasks which are beyond the capability of fixed-wing aircraft. Unlike fixed-wing aircraft, the landing path of helicopters is not regulated and can be determined autonomously, and the path planning problem for autonomous landing of helicopters on the carrier is studied in this paper. To solve the problem, the returning flight is divided into two phases, that is, approaching the carrier and landing on the flight deck. The feature of each phase is depicted, and the conceptual model is built on this basis to provide a general frame and idea of solving the problem. In the established mathematical model, the path planning problem is formulated into an optimization problem, and the constraints are classified by the characteristics of the helicopter and the task requirements. The goal is to reduce the terminal position error and the impact between the helicopter and the flight deck. To obtain a reasonable landing path, a multiphase path planning algorithm with the pigeon inspired optimization (MPPIO) algorithm is proposed to adapt to the changing environment. Three experiments under different situations, that is, static carrier, only horizontal motion of carrier considered, and 3D motion of carrier considered, are conducted. The results demonstrate that the helicopters can all reach the ideal landing point with the reasonable path in different situations. The small terminal error and relatively vertical motion between the helicopter and the carrier ensure a precise and safe landing.

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Section: Literature Review and The Work Of This Papermentioning

confidence: 99%

Section: Literature Review and The Work Of This Papermentioning

confidence: 99%

Path Planning for Autonomous Landing of Helicopter on the Aircraft Carrier

et al. 2018

Mathematics

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“…Aircraft landing on the carrier is a task with high risk [1]. An aircraft can land on the carrier successfully with the probability of 70%, and the rate is lower at night.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Path Selection Strategy for Aircraft Landing on the Carrier

Su¹,

Wu²,

Song³

et al. 2018

Preprint

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Landing is one of the most dangerous tasks in all the operations on the aircraft carrier, and the landing safety is very important to the pilot and the flight deck operation. The problem of landing path selection is studied in this paper as there several candidates corresponding to different situations. A fuzzy path selection strategy is proposed to solve the problem considering the fuzziness of environmental information and human judgment, and the goal is to provide the pilot with more reasonable decision. The strategy is based on Fuzzy Multi-attribute Group Decision Making (FMAGDM), which has been widely used in industry. Firstly, the background of the path selection problem is given. Then the essential elements of the problem are abstracted to build the conceptual model. A group decision-making method is applied to denote the preference of each decision maker for each alternative route, and the optimal landing path under the current environment is determined taking into account the knowledge and the weight of both decision makers. Experimental studies under different setups, i.e., different environments, are carried out. The results demonstrate that the proposed path selection strategy is validated in different environments, and the optimal landing paths corresponding to different environments can be determined.

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“…Aircraft landing on a carrier is a task with high risk [1]. An aircraft can land on a carrier successfully with a probability of 70%, and the rate is lower at night.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Path Selection Strategy for Aircraft Landing on a Carrier

Song

et al. 2018

Applied Sciences

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Abstract:Landing is one of the most dangerous tasks in all the operations on an aircraft carrier, and the landing safety is very important to the pilot and the flight deck operation. Nowadays, the landing safety of carrier aircraft is improved by designing an automatic landing controller and by training the pilot to increase his/her control ability. However, the importance of choosing the landing path has not been investigated thus far. In this paper, the problem of landing path selection for an aircraft carrier is studied as there are several candidates corresponding to different situations. A fuzzy path selection strategy is proposed to solve the problem considering the fuzziness of environmental information and human judgment, and the goal is to provide the pilot with a more reasonable decision. The strategy is in view of the idea of Fuzzy Multi-attribute Group Decision Making (FMAGDM), which has been widely used in industry. Firstly, the background of the landing path selection is given. Then, the factors influencing the decision making are abstracted to build the conceptual model. A TOPSIS-based group decision-making method is developed to denote the preference of each decision maker for each alternative route, and the optimal landing path under the current environment is determined taking into account the knowledge and the weight of both the pilot and the landing console operator (LCO). Experimental studies under different setups, i.e., different environments, are carried out. The results demonstrate that the proposed path selection strategy is validated in different environments, and the optimal landing paths corresponding to different environments can be determined.

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A sequencing model for a team of aircraft landing on the carrier

Cited by 31 publications

References 20 publications

Path Planning for Autonomous Landing of Helicopter on the Aircraft Carrier

Path Planning for Autonomous Landing of Helicopter on the Aircraft Carrier

A Fuzzy Path Selection Strategy for Aircraft Landing on the Carrier

A Fuzzy Path Selection Strategy for Aircraft Landing on a Carrier

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