Control and Design of Multiple Unmanned Air Vehicles for a Persistent Surveillance Task

Kroo, Ilan; Nigam, Nikhil

doi:10.2514/6.2008-5913

Cited by 35 publications

(36 citation statements)

References 35 publications

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“…16 Motivation for this example comes from the Lockheed C-130 Hercules which has been enormously successful because the versatility of its design imparts the ability to perform many different tasks. Designed in 1951 to meet the needs of the Korean War, 2 initial design requirements specified cargo capacity, the ability to take off from short airstrips, and the ability to fly slow enough for paradrops.…”

Section: Aircraft Examplementioning

confidence: 99%

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Considering Dynamic s-Pareto Frontiers in Decision Making

Lewis¹,

Tackett²,

Mattson³

2012

53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference

2
0
0
0

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Considering how the resolution of conflicts changes over time is an aspect of multiobjective optimization that is not commonly explored. These considerations embody changes in both the preferences that dictate the selection of Pareto designs, and changes in the Pareto frontier itself over time, or s-Pareto frontier when a set of disparate design concepts are considered. As such, this paper explores the idea of dynamic s-Pareto frontiers and preferences. Specifically, this paper presents a dynamic multiobjective optimization problem formulation that provides a framework of identifying the s-Pareto frontier for a series of time steps. The application of the presented dynamic formulation is illustrated through a simple aircraft design example.

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Section: Aircraft Examplementioning
confidence: 99%

“…16 The needed analysis functions are provided below: (24) where the variable definitions in the above models are given in Table 4. …”

Section: A Analysis Model Descriptionsmentioning
confidence: 99%

Considering Dynamic s-Pareto Frontiers in Decision Making
Lewis¹,
Tackett²,
Mattson³
2012
53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
2
0
0
0
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“…Gundlach et al (2000) used MDO to achieve a design of Strut-BRACED wing, with less fuel cost and weight, smaller engine as well. Nigam and Kroo (2008) designed multiple unmanned air vehicles by using a MDO based system-of-system (SoS) architecture. Roth and Kroo (2008) applied MDO methods to an aircraft family design and reduced the computational burden substantially.…”

Section: Introductionmentioning
confidence: 99%

An application of multidisciplinary design optimization to the hydrodynamic performances of underwater robots
Luo
¹
,
Lyu
²

2015
Ocean Engineering
44
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6
0
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“…There are some similarities also to the work done on design and control optimization [6], in that both the design of a system and how the system moves were both optimized. Nigam and Kroo [7] studied the optimization of both the design and mission of a UAV (or multiple UAVs) for surveillance tasks using an approach based around coordinating two optimizers to solve two subproblems that decompose the primary problem being considered with a third coordinating "system-level" optimizer. The approach American Institute of Aeronautics and Astronautics described by Rastegar et al [5] avoids having the two optimizers directly interact; instead, the third optimizer mediates any conflicts between them.…”

Section: Introductionmentioning
confidence: 99%

Multi-Objective Design and Path Planning Optimization of Unmanned Aerial Vehicles (UAVs)
Rudnick-Cohen
¹
,
Azarm
²
,
Herrmann
³

2015
16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
5
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3
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This paper presents the topic of combined UAV design and path planning using biobjective optimization. Two optimization models, integrated and decomposed, are developed and solved for path planning and design optimization of UAVs. Both models minimize a weighted sum of risk and time. The risk is based on a simulation of a UAV's crash after it loses power and is estimated by computing an expected number of on-the-ground human population fatalities which are located at or near the UAV crash site. The flight time is computed for the UAV as it travels from a start to an end point. The integrated model solves the design and path planning optimization problem all-at-once. The decomposed model has two subproblems: one for the design optimization of UAV and another for its path planning optimization. A new decomposed method for solving the path planning subproblem while considering the design optimization subproblem is presented, which solves the path planning subproblem for a discrete graph. Results for this new method are compared to an integrated all-at-once approach that does not treat the design and path planning subproblems separately, which can indicate the method proposed is less vulnerable to local minima in the path planning optimization subproblem.

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Control and Design of Multiple Unmanned Air Vehicles for a Persistent Surveillance Task

Cited by 35 publications

References 35 publications

Considering Dynamic s-Pareto Frontiers in Decision Making

Considering Dynamic s-Pareto Frontiers in Decision Making

An application of multidisciplinary design optimization to the hydrodynamic performances of underwater robots

Multi-Objective Design and Path Planning Optimization of Unmanned Aerial Vehicles (UAVs)

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