A multidisciplinary robust optimisation framework for UAV conceptual design

Nguyen, Nhu Van; Lee, Jae-Woo; Lee, Y.-D.; Park, Hyeong-Uk

doi:10.1017/s0001924000009027

Cited by 21 publications

(7 citation statements)

References 16 publications

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“…S&C Analysis Solver is an in-house code developed for analyzing the variable fidelity of input sources in both the aerodynamic and weight database formats. It has been developed and validated for light aircraft design application, 14 subsonic UAV robust design optimization, 16 and subsonic electric-powered UAV design application. 17 The solver includes the static and dynamic S&C analysis to resolve the governing equation of the longitudinal and lateral motions.…”

Section: Stability and Control Characteristics Using Wind Tunnel Testmentioning

confidence: 99%

Investigations on stability and control characteristics of a CS-VLA certified aircraft using wind tunnel test data

Nguyen

Tyan

Lee

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part G:

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The stability and control characteristics using a wind tunnel test data process are proposed and developed to investigate the stability and control characteristics of a CS-VLA certified aircraft and to comply with the CS-VLA subpart B at the preliminary design review (PDR) and critical design review (CDR) stage. The aerodynamic characteristics of a 20% scale model are provided and investigated with clean, rudder, aileron, elevator, and winglet effects. The Mach and Reynolds correction methods are proposed to correct the aerodynamics of the scale model for stability and control analysis to obtain more reliable and accurate results of the full-scale model. The aerodynamic inputs and moment of inertia (MOI) comparison between the PDR and CDR stage show good agreement in the trends of stability and control derivatives. The CDR analysis results with the corrected wind tunnel test data and accurate MOI are investigated with respect to the longitudinal and lateral stability, control, and handling qualities to comply with the CS-VLA 173, CS-VLA 177, and CS-VLA 181 for finalizing the configuration in the CDR stage.

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Section: Stability and Control Characteristics Using Wind Tunnel Testmentioning

confidence: 99%

Investigations on stability and control characteristics of a CS-VLA certified aircraft using wind tunnel test data

Nguyen

Tyan

Lee

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part G:

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show abstract

“…The equations of motion were derived for each mission to perform the time integration. The used amperage was calculated by multiplying each mission duration with the corresponding amperage in the thrust table (22) .…”

Section: Mission Analysis Disciplinementioning

confidence: 99%

“…The take-off and landing time simulation method were applied to determine the take-off and landing distance over obsaatacles or ground roll. In addition, the endurance of an electric-powered UAV is given by Equation 3, which is affected by the constant weight of an electric-powered UAV based on the battery capacity, motor voltage, required power, and required current as shown in Equations (1) and (2) (19,22) :…”

Section: Performance Analysis Disciplinementioning

confidence: 99%

Possibility-Based Multidisciplinary Optimisation For Electric-Powered Unmanned Aerial Vehicle Design

et al. 2015

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This paper describes a possibility-based multidisciplinary optimisation for electric-powered unmanned aerial vehicles (UAVs) design. An in-house integrated UAV (iUAV) analysis program that uses an electric-powered motor was developed and validated by a Predator A configuration for aerodynamics, weight, and performance parameters. An electric-powered propulsion system was proposed to replace a piston engine and fuel with an electric motor, power controllers, and battery from an eco-system point of view. Moreover, an in-house Possibility-Based Design Optimisation (iPBDO) solver was researched and developed to effectively handle uncertainty variables and parameters and to further shift constraints into a feasible design space. A sensitivity analysis was performed to reduce the dimensions of design variables and the computational load during the iPBDO process. Maximising the electric-powered UAV endurance while solving the iPBDO yields more conservative, but more reliable, optimal UAV configuration results than the traditional deterministic optimisation approach. A high fidelity analysis was used to demonstrate the effectiveness of the process by verifying the accuracy of the optimal electric-powered UAV configuration at two possibility index values and a baseline.

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“…Zaman and Mahadevan 14 proposed formulations and algorithms for design optimization of multidisciplinary systems under both aleatory and epistemic uncertainty for a fire-detection satellite. Nguyen et al 15 described a multidisciplinary robust optimization framework for unmanned aerial vehicle (UAV) conceptual design.…”

Section: Introductionmentioning

confidence: 99%

A new multidisciplinary robust design optimization framework for an autonomous underwater vehicle in system and tactic design

Bidoki

Mortazavi

Sabzehparvar

2018

Proceedings of the Institution of Mechanical Engineers, Part M:

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The design process of an autonomous underwater vehicle requires mathematical model of subsystems or disciplines such as guidance and control, payload, hydrodynamic, propulsion, structure, trajectory and performance and their interactions. In early phases of design, an autonomous underwater vehicle is often encountered with a high degree of uncertainty in the design variables and parameters of system. These uncertainties present challenges to the design process and have a direct effect on the autonomous underwater vehicle performance. Multidisciplinary design optimization is an approach to find both optimum and feasible design, and robust design is an approach to make the system performance insensitive to variations of design variables and parameters. It is significant to integrate the robust design and the multidisciplinary design optimization for designing complex engineering systems in optimal, feasible and robust senses. In this article, we present an improved multidisciplinary design optimization methodology for conceptual design of an autonomous underwater vehicle in both engineering and tactic aspects under uncertainty. In this methodology, uncertain multidisciplinary feasible is introduced as uncertain multidisciplinary design optimization framework. The results of this research illustrate that the new proposed robust multidisciplinary design optimization framework can carefully set a robust design for an autonomous underwater vehicle with coupled uncertain disciplines.

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A multidisciplinary robust optimisation framework for UAV conceptual design

Cited by 21 publications

References 16 publications

Investigations on stability and control characteristics of a CS-VLA certified aircraft using wind tunnel test data

Investigations on stability and control characteristics of a CS-VLA certified aircraft using wind tunnel test data

Possibility-Based Multidisciplinary Optimisation For Electric-Powered Unmanned Aerial Vehicle Design

A new multidisciplinary robust design optimization framework for an autonomous underwater vehicle in system and tactic design

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