Computer-aided definition of sizing procedures and optimization problems of mechatronic systems

Reysset, Aurélien; Budinger, Marc; Maré, Jean-Charles

doi:10.1177/1063293x15586063

Cited by 8 publications

(7 citation statements)

References 16 publications

(21 reference statements)

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“…Step 1: Define a system of algebraic equations S based on estimation models and simulation models subject to inequality constraints Analytical models, Scaling laws, Datasheet regression [24,34,14] Step 2: Reduce (when possible) the number of inequality constraints First Monotonicity Principle (MP1) Section 3.2.1, [35] Step 3: Build undirected bipartite graph/design graph from S, identify Strongly Connected Components (SCC) and solve them by implementing the NVH formulation Design graphs, Symbolic computation, Graph algorithms Section 3.3, Section 3.4, [36,37,34,28] Step 4: Perform a matching and ordering of the modified system and generate the sizing procedure Graph algorithms, Symbolic computation [36,37,34] the efficiency of the ordering and is useful to visualize the models involved and the shared variables. Once the required thrust for every mission is estimated from an initial guess of the total drone mass, propeller torque and speed characteristics are estimated.…”

Section: Process Methods and Tools Referencesmentioning

confidence: 99%

“…C) consider the inequalities as potentially active with a specific treatment as Reysset, Budinger et al propose in [36]. In this case the process uses all the 4 proposed steps.…”

Section: Sizing Methodologymentioning

confidence: 99%

“…In the following sub-section, Algorithm C addresses the rest of the potentially active inequalities. Through the construction of Design Graphs [36] it is possible to establish relationships between parameters and to propose alternative resolution strategies.…”

Section: Objective Functionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient sizing and optimization of multirotor drones based on scaling laws and similarity models

Delbecq

Budinger

Ochotorena

et al. 2020

Aerospace Science and Technology

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In contrast to the current overall aircraft design techniques, the design of multirotor vehicles generally consists of skill-based selection procedures or is based on pure empirical approaches. The application of a systemic approach provides better design performance and the possibility to rapidly assess the effect of changes in the requirements. This paper proposes a generic and efficient sizing methodology for electric multirotor vehicles which allows to optimize a configuration for different missions and requirements. Starting from a set of algebraic equations based on scaling laws and similarity models, the optimization problem representing the sizing can be formulated in many manners. The proposed methodology shows a significant reduction in the number of function evaluations in the optimization process due to a thorough suppression of inequality constraints when compared to initial problem formulation. The results are validated by comparison to characteristics of existing multirotors. In addition, performance predictions of these configurations are performed for different flight scenarios and payloads.

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Section: Process Methods and Tools Referencesmentioning

confidence: 99%

“…C) consider the inequalities as potentially active with a specific treatment as Reysset, Budinger et al propose in [36]. In this case the process uses all the 4 proposed steps.…”

Section: Sizing Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Efficient sizing and optimization of multirotor drones based on scaling laws and similarity models

Delbecq

Budinger

Ochotorena

et al. 2020

Aerospace Science and Technology

View full text Add to dashboard Cite

show abstract

“…The success of attempts to use numerical optimization for design depends strongly on how well the design problem has been formulated. Reysset et al (2015) proposed to reformulate a multidisciplinary design problem with a view in order to get the best from numerical optimization. This formulation was underlined through a case study but was never benchmarked and compared with other formulations.…”

Section: The Normalized Variable Hybrid Formulationmentioning

confidence: 99%

Benchmarking of monolithic MDO formulations and derivative computation techniques using OpenMDAO

Delbecq

Budinger

Reysset

2020

Struct Multidisc Optim

Self Cite

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The design optimization of coupled systems requires the implementation of multidisciplinary design optimization techniques in order to obtain consistent and optimal solutions. The associated research topics include the development of optimization algorithms, computational frameworks, and multidisciplinary design optimization formulations. This paper presents a benchmarking of the combination of monolithic formulations and derivative computation techniques. The monolithic formulations include typical literature formulations as well as new normalized variable hybrid formulation. A novel test problem is proposed which consists in the sizing of a space launcher thrust vector control electro-mechanical actuator. Solving the single multidisciplinary coupling present in this problem is complex due to the possibility to face one, two, or no solutions depending on the external load and reducer gear ratio configuration. A larger scale version of this test problem is also proposed and tested by adding a high degree of freedom point-to-point trajectory. The tests are carried out in order to obtain typical performance criteria but also some proposed additional robustness criteria such as variation of the initial conditions or the external load scale. These additional criteria are particularly relevant in an industrial engineering design context where knowledge capitalization and reuse are sought. The most significant findings are the interesting performances of the new formulation in terms of computational cost and the robustness. Furthermore, the effect of the choice of derivative computation strategy on different performance criteria is assessed for the original and larger scale problem, and thus underlines the benefits of full analytic gradient-based optimization.

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“…Concurrent engineering also made large impact in the automotive, electronics, and computer industry in particular by supporting integrated product development spanning over different disciplines and lifecycle phases (Prasad, 1995, 1996). By today, the methodology of concurrent engineering is applied to conceptual design also in various industries and gets combined with multidisciplinary design optimization (MDO) (Reysset et al, 2015; Safavi et al, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

A coordination method for concurrent design and a collaboration tool for parametric system models

Knoll

Golkar

2017

Concurrent Engineering

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This work presents a method and a tool for conducting conceptual design studies for projects such as a space exploration mission and a satellite constellation in a concurrent manner in both time and space, while taking into account the structure of the system to design and the dependencies between the system's constituting elements. Design work is parallelized to reduce the time required to converge to a solution for a preliminary design, which includes the system architecture, its detailed requirements, and its costs. The multidisciplinary team of designers works in colocation to leverage effective direct human interaction for discussing design trade-offs quickly. While this is practice in space agencies for mission feasibility studies, a common methodology was not described so far. Our work proposes a method for the coordination of discipline experts and the sequence of activities performed during conceptual design studies, which use integrated parametric system models. Our method reduces the number of design iterations by applying a design structure matrix clustering algorithm to the system model and deriving a schedule for the design session. We also describe the tool Concurrent Engineering Data Exchange Skoltech we developed for collaborative work on the parametric system models and serve as an instrument for research on complex system design methodologies. The tool features a fast synchronization mechanism for the concurrent work of multiple design experts, and it supports our coordination method for concurrent design studies. The tool was published as open-source software, so other researchers can use it and build upon it. We used our tool and applied the method to two case studies of preliminary satellite designs and tested them with groups of students of a satellite engineering class and researchers from our institute. Throughout the experiments, we recorded information about user interactions and collected user feedback for the evaluation of the coordination method and the collaboration tool. Both method and tool demonstrated their validity in our experimental setting.

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Computer-aided definition of sizing procedures and optimization problems of mechatronic systems

Cited by 8 publications

References 16 publications

Efficient sizing and optimization of multirotor drones based on scaling laws and similarity models

Efficient sizing and optimization of multirotor drones based on scaling laws and similarity models

Benchmarking of monolithic MDO formulations and derivative computation techniques using OpenMDAO

A coordination method for concurrent design and a collaboration tool for parametric system models

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