A multiobjective trajectory optimisation method for planning environmentally efficient trajectories

McEnteggart, Quintain; Whidborne, James F.

doi:10.1109/control.2012.6334618

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…The relationship between time t and τ is defined as λ = dτ /dt. The use of the relationship parameter τ allows the definition of aircraft velocity using a separate reference function, enabling the creation of a virtual speed profile along the trajectory path of the aircraft [29]. The method, termed the Inverse Dynamics in the Virtual Domain (IDVD) method, is a fast trajectory optimization method and has been considered for real time implementation [30].…”

Section: Multiobjective Optimal Control Problemmentioning

confidence: 99%

Multiobjective Environmental Departure Procedure Optimization

McEnteggart

Whidborne

2018

Journal of Aircraft

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To achieve a sustainable future for air transport, the International Civil Aviation Organization has proposed goals for reductions in community noise impact, local air quality and climate impacting emissions. The paper focuses on the contribution aircraft operations make to those goals. It describes a multiobjective optimisation methodology intended to support the planning of environmentally efficient departure procedures. The methodology treats the problem as a multiobjective optimal control problem that is solved through the application of a direct method of trajectory optimisation and a multiobjective version of the Differential Evolution algorithm. The method generates Pareto fronts between several competing objectives allowing the decision maker to make informed decisions about potential trade-offs between different environmental goals. The methodology is demonstrated through its application to a real world many objective procedure optimisation study. The method supported in depth analysis of the problem not achievable through existing methods and was used to identify a solutions set that offered improvements in all environmental objectives relative to the existing procedure design.

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Section: Multiobjective Optimal Control Problemmentioning

confidence: 99%

Multiobjective Environmental Departure Procedure Optimization

McEnteggart

Whidborne

2018

Journal of Aircraft

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“…These limitations can be overcome with the adoption of a variety of heuristic strategies in a customised solution algorithm. Different hybrid optimisers were proposed, either with a pattern search, an evolutionary algorithm or other heuristic strategies to attain the global optimality [15][16][17][18][19][20][21][22][23][24][25]. In our 4DT optimiser, a mathematically optimal 4DT is generated by the numerical solution algorithm.…”

Section: Dt Optimization Algorithmmentioning

confidence: 99%

Automated ATM System Enabling 4DT-Based Operations

Gardi¹,

Sabatini²,

Ramasamy³

et al. 2015

SAE Technical Paper Series

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As part of the current initiatives aimed at enhancing safety, efficiency and environmental sustainability of aviation, a significant improvement in the efficiency of aircraft operations is currently pursued. Innovative Communication, Navigation, Surveillance and Air Traffic Management (CNS/ATM) technologies and operational concepts are being developed to achieve the ambitious goals for efficiency and environmental sustainability set by national and international aviation organizations. These technological and operational innovations will be ultimately enabled by the introduction of novel CNS/ATM and Avionics (CNS+A) systems, featuring higher levels of automation. A core feature of such systems consists in the real-time multi-objective optimization of flight trajectories, incorporating all the operational, economic and environmental aspects of the aircraft mission. This article describes the conceptual design of an innovative ground-based Air Traffic Management (ATM) system featuring automated 4-Dimensional Trajectory (4DT) functionalities. The 4DT planning capability is based on the multi-objective optimization of 4DT intents. After summarizing the concept of operations, the top-level system architecture and the key 4DT optimization modules, we discuss the segmentation algorithm to obtain flyable and concisely described 4DT. Simulation case studies in representative scenarios show that the adopted algorithms generate solutions consistently within the timeframe of online tactical rerouting tasks, meeting the set design requirements.

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“…On the other hand, a number of multiobjective evolutionary algorithms have been developed [5]- [7], [19] to tackle multiple objectives simultaneously in path planning. These results are developed either as general robotic motion planning algorithms [5], [7], or applied in other kinds of autonomous vehicles including aerial and ground vehicles [6], [19]. One direct challenge of adapting existing multiobjective optimisation approaches for ASVs' path planning lies in how to incorporate COLREGs into the optimisation framework.…”

Section: Introductionmentioning

confidence: 99%

A Multiobjective Optimization Approach for COLREGs-Compliant Path Planning of Autonomous Surface Vehicles Verified on Networked Bridge Simulators

Naeem

Rajabally

et al. 2020

IEEE Trans. Intell. Transport. Syst.

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This paper presents a multiobjective optimisation approach for path planning of autonomous surface vehicles (ASVs). A unique feature of the technique is the unification of the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs) with good seamanship's practice alongwith hierarchical (rather than simultaneous) inclusion of objectives. The requirements of collision avoidance are formulated as mathematical inequalities and constraints in the optimisation framework and thus collision-free manoeuvres and COLREGs-compliant behaviours are provided in a seafarerlike way. Specific expert knowledge is also taken into account when designing the multiobjective optimisation algorithm. For example, good seamanship reveals that if allowed, an evasive manoeuvre with course changes is always preferred over one with speed changes in practical maritime navigation. As a result, a hierarchical sorting rule is designed to prioritize the objective of course/speed change preference over other objectives such as path length and path smoothness, and then incorporated into a specific evolutionary algorithm called hierarchical multiobjective particle swarm optimisation (H-MOPSO) algorithm. The H-MOPSO algorithm solves the real-time path planning problem through finding solutions of the formulated optimisation problem. The effectiveness of the proposed H-MOPSO algorithm is demonstrated through both desktop and high-fidelity networked bridge simulations.

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A multiobjective trajectory optimisation method for planning environmentally efficient trajectories

Cited by 8 publications

References 18 publications

Multiobjective Environmental Departure Procedure Optimization

Multiobjective Environmental Departure Procedure Optimization

Automated ATM System Enabling 4DT-Based Operations

A Multiobjective Optimization Approach for COLREGs-Compliant Path Planning of Autonomous Surface Vehicles Verified on Networked Bridge Simulators

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