A Systems Analysis of the Introduction of Unmanned Aircraft Into Aircraft Carrier Operations

Ryan, Jason C.; Cummings, Mary L.

doi:10.1109/thms.2014.2376355

Cited by 18 publications

(13 citation statements)

References 17 publications

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“…Based on the DCAP simulation environment, Ryan et al [10] proposed a conventional integer linear program-based planning algorithm for online scheduling, and the performance of the algorithm is inferior to that of expert user heuristics in the majority of test scenarios. Due to the advantage of coordinability and real-time capability, the multiagent-based model was utilized widely for dynamic scheduling on the flight deck in both manned [15,16] and manned-unmanned environments [17]. In terms of response time, another efficient method called hierarchical task network (HTN) planning was applied in this field [18], and the method is based on an expert system in nature.…”

Section: Complexitymentioning

confidence: 99%

A Proactive Robust Scheduling Method for Aircraft Carrier Flight Deck Operations with Stochastic Durations

Su¹,

Wang²,

et al. 2018

Complexity

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The operations on the aircraft carrier flight deck are carried out in a time-critical and resource-constrained environment with uncertainty, and it is of great significance to optimize the makespan and obtain a robust schedule and resource allocation plan for a greater sortie generation capacity and better operational management of an aircraft carrier. In this paper, a proactive robust optimization method for flight deck scheduling with stochastic operation durations is proposed. Firstly, an operation on node-flow (OONF) network is adopted to model the precedence relationships of multi-aircraft operations, and resource constraints categorized into personnel, support equipment, workstation space, and supply resource are taken into consideration. On this basis, a mathematical model of the robust scheduling problem for flight deck operation (RSPFDO) is established, and the goal is to maximize the probability of completing within the limitative makespan (PCLM) and minimize the weighted sum of expected makespan and variance of makespan (IRM). Then, in terms of proactive planning, both serial and parallel schedule generation schemes for baseline schedule and robust personnel allocation scheme and equipment allocation adjustment scheme for resource allocation are designed. In terms of executing schedules, an RSPFDO-oriented preconstraint scheduling policy (CPC) is proposed. To optimize the baseline schedule and resource allocation, a hybrid teaching-learning-based optimization (HTLBO) algorithm is designed which integrates differential evolution operators, peak crossover operator, and learning-automata-based adaptive variable neighborhood search strategy. Simulation results shows that the HTLBO algorithm outperforms both some other state-of-the-art algorithms for deterministic cases and some existing algorithms for stochastic project scheduling, and the robustness of the flight deck operations can be improved with the proposed resource allocation schemes and CPC policy.

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Section: Complexitymentioning

confidence: 99%

A Proactive Robust Scheduling Method for Aircraft Carrier Flight Deck Operations with Stochastic Durations

Su¹,

Wang²,

et al. 2018

Complexity

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“…14 Nonetheless, the common environmental factors is particularly important with the reform of catapults and support systems. [15][16][17] Therefore, the solution to the minimum deck wind or the similar parameter problem determined by the safety criteria for the aircraft catapult launch, still needs effective and quick method to avoid a large number of excess simulation, considering aircraft full takeoff weight and large deck wind range.…”

Section: Introductionmentioning

confidence: 99%

Pruning operator for minimum deck wind in carrier aircraft launch

Zhou

Huang

2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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Launch resources and flight safety are important for carrier-based aircraft to takeoff. Aimed at making full use of marine wind resources, a pruning operator added to linear random search algorithm is developed to solve the minimum deck wind for carrier aircraft launch. On the basis of problem statement, the catapult safety criteria are quantified as the boundary condition of the critical solution. Then the mathematical model is established for the algorithm including pruning schematic. The influence of deck wind on aircraft catapult launch is analyzed. With the algorithm proceeding and the feedback results of aircraft catapult launch simulation, the optimal solution of the minimum deck wind is determined in a few simulation times. The main contribution of this research is the development of the pruning operator to greatly shorten the search times under permissible error for the discrete linear problems. And the minimum deck wind is solved in full takeoff weight range due to combining linear random search algorithm and simulation.

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“…As the area of flight deck is limited, aircraft must be well prepared before they can launch and enter combat in the air. As the number of aircraft parking on the flight deck is increasing, an important and difficult problem is to make the flight operations in good order, i.e., launching and landing safely and efficiently [4,5]. Therefore, it is of great significance to develop an automatic planner to organize aircraft launching with optimized taxi paths on the space-limited and resource-limited flight deck of the carrier.…”

Section: Introductionmentioning

confidence: 99%

“…As several steps, i.e., taxiing, preparation on catapult, and launch must be finished before the aircraft can leave for combat in the air, a sensitivity analysis is conducted on each step, and the main factors influencing the launching efficiency can be obtained and improved [12]. Unmanned aerial vehicles (UAVs) have been introduced onto carriers, and the command mode for the mixed manned and unmanned aircraft fleets also makes a big difference in terms of launching efficiency [5].…”

Section: Introductionmentioning

confidence: 99%

Path Planning for Aircraft Fleet Launching on the Flight Deck of Carriers

et al. 2018

Mathematics

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This paper studies the path planning problem for aircraft fleet taxiing on the flight deck of carriers, which is of great significance for improving the safety and efficiency level of launching. As there are various defects of manual command in the flight deck operation of carriers, the establishment of an automatic path planner for aircraft fleets is imperative. The requirements of launching, the particularities of the flight deck environment, the way of launch, and the work mode of catapult were analyzed. On this basis, a mathematical model was established which contains the constraints of maneuverability and the work mode of catapults; the ground motion and collision detection of aircraft are also taken into account. In the design of path planning algorithm, path tracking was combined with path planning, and the strategy of rolling optimization was applied to get the actual taxi path of each aircraft. Taking the Nimitz-class aircraft carrier as an example, the taxi paths of aircraft fleet launching was planned with the proposed method. This research can guarantee that the aircraft fleet complete launching missions safely with reasonable taxi paths.

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A Systems Analysis of the Introduction of Unmanned Aircraft Into Aircraft Carrier Operations

Cited by 18 publications

References 17 publications

A Proactive Robust Scheduling Method for Aircraft Carrier Flight Deck Operations with Stochastic Durations

A Proactive Robust Scheduling Method for Aircraft Carrier Flight Deck Operations with Stochastic Durations

Pruning operator for minimum deck wind in carrier aircraft launch

Path Planning for Aircraft Fleet Launching on the Flight Deck of Carriers

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