Estimation models for the preliminary design of electromechanical actuators

Budinger, Marc; Liscouët, Jonathan; Hospital, Fabien; Maré, Jean-Charles

doi:10.1177/0954410011408941

Cited by 54 publications

(64 citation statements)

References 19 publications

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“…The efficiency prediction coefficients of equations (7) to (11), which are estimated based on the collection efficiency data, listed below.…”

Section: Case Study and Discussionmentioning

confidence: 99%

Preliminary design and multi-objective optimization of electro-hydrostatic actuator

Zhang

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part G:

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Electro-hydrostatic actuator is generally regarded as the preferred solution for more electrical aircraft actuation systems. It is of importance to optimize the weight, efficiency and other key design parameters, during the preliminary design phase. This paper describes a multi-objective optimization preliminary design method of the electro-hydrostatic actuator with the objectives of optimizing the weight and efficiency. Models are developed to predict the weight and efficiency of the electro-hydrostatic actuator from the requirements of the control surface. The models of weight prediction are achieved by using scaling laws with collected data, and the efficiency is calculated by the static energy loss model. The multi-objective optimization approach is used to find the Pareto-front of objectives and relevant design parameters. The proposed approach is able to explore the influence of the level length of linkage, displacement of pump and torque constant of motor on the weight and efficiency of the electro-hydrostatic actuator, find the Pareto-front designs in the defined parameter space and satisfy all relevant constraints. Using an electro-hydrostatic actuator for control surface as a test case, the proposed methodology is demonstrated by comparing three different conditions. It is also envisaged that the proposed prediction models and multi-objective optimization preliminary design method can be applied to other components and systems.

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“…The efficiency prediction coefficients of equations (7) to (11), which are estimated based on the collection efficiency data, listed below.…”

Section: Case Study and Discussionmentioning

confidence: 99%

Preliminary design and multi-objective optimization of electro-hydrostatic actuator

Zhang

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…Assume G MHD in (1) presents the uncertain models of the system identified from the test sets tabulated in Table 1 and G nom is the nominal model in (2). Using the multiplicative uncertainty definition, the uncertain system can be written as follows Here, W(s) is the uncertainty weighting function and Á is an operator with infinity-norm less than unity, 22 i.e.…”

Section: Unstructured Uncertaintymentioning

confidence: 99%

“…[1][2][3] EMA is subjected to uncertainties for several reasons including operating point changes, perpetual parametric variations because of temperature changes, aging, un-modeled dynamics, load changes, and asymmetric behavior. Consequently, the desired EMA's performance will be unachievable and, in some cases, its stability may be lost.…”

Section: Introductionmentioning

confidence: 99%

Identification, uncertainty modeling and robust controller design for an electromechanical actuator

Salloum

Arvan

Moaveni

2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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Electromechanical actuators (EMAs) are of interest for applications which require easy control and high dynamics. This paper addresses the experimental identification, structured and unstructured uncertainties modeling, and robust control design for an EMA system with harmonic drive. Two robust controllers are designed by two proposed approaches: The first is based on Kharitonov theorem, which not only robustly stabilizes the uncertain EMA system but also maintains the pre-specified margins and bandwidth constraints. The second is feedback compensation design procedure based on H 1 control theory, verifying good tradeoff between the powerful H 1 controller and the unique features of feedback compensation, such as simplicity, effectiveness, low sensitivity to parameters variations, low cost, and easy implementation. Simulation and experiments prove the robustness and high tracking performance of the robust EMA systems which reveals the affectivity of the proposed robust control design methods.

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“…The estimation models also have to generate the operational parameters that define the operational limits of the component in terms of its ability to fulfil its mission safely during the whole specified service life (step 4). The paper [9] describes in detail the scaling laws for electromechanical components. Estimation models will be developed here for the main hydraulic components of the case study (Section 5).…”

Section: Estimation Models With Scaling Lawsmentioning

confidence: 99%

Modelling approaches for the simulation-based preliminary design and optimization of electromechanical and hydraulic actuation systems

Fraj¹,

Budinger

Halabi³

et al. 2012

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

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This communication proposes to combine non causal modeling, metamodeling and scaling laws in order to take advantage of the inverse simulation capabilities of recent system level simulation software with the main target to assess technological alternatives quantitatively from a limited set of required data. The scaling laws are illustrated here for major hydraulic components (hydraulic cylinders and pumps) and are validated with manufacturers' data. The proposed methodology is illustrated with the preliminary sizing of an electro-hydrostatic actuator driving an aircraft primary flight control surface (aileron). The design exploration for geometrical integration and mass is realized using to surface response models.

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Estimation models for the preliminary design of electromechanical actuators

Cited by 54 publications

References 19 publications

Preliminary design and multi-objective optimization of electro-hydrostatic actuator

Preliminary design and multi-objective optimization of electro-hydrostatic actuator

Identification, uncertainty modeling and robust controller design for an electromechanical actuator

Modelling approaches for the simulation-based preliminary design and optimization of electromechanical and hydraulic actuation systems

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