Generic Models of Piezo-Actuators and Experimental Validation for Smart Applications

Author(s):  
Abdou-Fadel Boukari ◽  
George Moraru ◽  
Jean-Claude Carmona ◽  
Francois Malburet ◽  
Ali Chaaba ◽  
...  

In previous papers, we suggested piezo-actuators models and compared them to existing works with respect to sinusoidal solicitations. The current paper aims to experimentally validate and refine them. For this purpose, the piezo-device is integrated in a well known system. This reveals that the modeling of the whole system requires additional artefact and good choice of simulation methods. Then we study the whole system dynamics in order to check the validity of our models. Thereafter, the final model is reversed in order to elaborate control loops in smart applications.

2019 ◽  
Vol 123 (1269) ◽  
pp. 1757-1787
Author(s):  
M. J. Tchatchueng Kammegne ◽  
R. M. Botez

ABSTRACTThe focus of this paper is on the modelling of miniature electromechanical actuators used in a morphing wing application, on the development of a control concept for these actuators, and on the experimental validation of the designed control system integrated in the morphing wing-tip model for a real aircraft. The assembled actuator includes as its main component a brushless direct current motor coupled to a trapezoidal screw by using a gearing system. A Linear Variable Differential Transformer (LVDT) is attached on each actuator giving back the actuator position in millimetres for the control system, while an encoder placed inside the motor provides the position of the motor shaft. Two actuation lines, each with two actuators, are integrated inside the wing model to change its shape. For the experimental model, a full-scaled portion of an aircraft wing tip is used with the chord length of 1.5 meters and equipped on the upper surface with a flexible skin made of composite fibre materials. A controllable voltage provided by a power amplifier is used to drive the actuator system. In this way, three control loops are designed and implemented, one to control the torque and the other two to control the position in a parallel architecture. The parallel position control loops use feedback signals from different sources. For the first position control loop, the feedback signal is provided by the integrated encoder, while for the second one, the feedback signal comes from the LVDT. For the experimental model, the parameters for the torque control, but also for the position control-based encoder signal, are implemented in the power amplifier energising the electrical motor. On the other hand, a National Instruments real-time system is used to implement and test the position control-based LVDT signal. The experimental validation of the developed control system is realised in two independent steps: bench testing with no airflow and wind-tunnel testing. The pressure data provided by a number of Kulite sensors equipping the flexible skin upper surface and the infrared thermography camera visualisations are used to estimate the laminar-to-turbulent transition point position.


Author(s):  
Christopher Raucy ◽  
Eloy de Lera Acedo ◽  
Christophe Craeye ◽  
David Gonzalez-Ovejero ◽  
Nima Razavi Ghods

Author(s):  
Richard C. Gambo

The primary goal of this article is to start a discussion about the possibility to connect supply and demand with data analytics functionalities in the frame of a dynamic system environment. So, a number of classical supply and demand topics, concepts, and definitions, as well as state-of-the-art data analytics concepts are reviewed firstly. Then, the critical modeling problem of both concepts “supply” and “demand” using system dynamics is introduced, analyzed, and examined. Finally, supply, demand, big data and data analytics are considered in a system dynamics modeling environment. Actually, the proposed paper provides an initial approach (introduction) to the main (basic) procedures, analytical approaches and methods of data and big data analysis. In particular, a framework to help program staff in their job and approaches on supply and demand issues using big data procedures and methods is presented. Accordingly, this article aims to support the work of data analytics and statistics staff across various content areas with big data functionalities. This article was created because the state-of-the-art concept “using data and information in meaningful and smart ways” includes many opportunities and possibilities and obviously a great deal of information is involved. Doubtless, some of this information has a great complexity and it is highly dependent upon specialized data, information and knowledge like the “data analytics” concept. However, there are many ways of “using data in smart ways” that are more primitive and that involve relatively simple enough procedures. Hence, the purpose of the current paper is to provide data analytics functionalities in supply and demand applications with a contemporary framework for thinking about, working with, and benefiting from an increased ability to use big data smartly and efficiently. Finally, the current paper should be characterized as a knowledge generation opinion article which recommends the inclusion of data analytics and distributed technology in supply and demand industry in order to enhance functionalities and compatibility to state-of-the-art ICT.


2006 ◽  
Vol 38 (7) ◽  
pp. 878-889 ◽  
Author(s):  
Fawaz Maamari ◽  
Marilyne Andersen ◽  
Jan de Boer ◽  
William L. Carroll ◽  
Dominique Dumortier ◽  
...  

Author(s):  
H. Nam Le ◽  
David C. Wynn ◽  
P. John Clarkson

Iteration is unavoidable in the design process and should be incorporated when planning and managing projects in order to minimize surprises and reduce schedule distortions. However, planning and managing iteration is challenging because the relationships between its causes and effects are complex. Most approaches which use mathematical models to analyze the impact of iteration on the design process focus on a relatively small number of its causes and effects. Therefore, insights derived from these analytical models may not be robust under a broader consideration of potential influencing factors. In this article, we synthesize an explanatory framework which describes the network of causes and effects of iteration identified from the literature, and introduce an analytic approach which combines a task network modeling approach with System Dynamics simulation. Our approach models the network of causes and effects of iteration alongside the process architecture which is required to analyze the impact of iteration on design process performance. We show how this allows managers to assess the impact of changes to process architecture and to management levers which influence iterative behavior, accounting for the fact that these changes can occur simultaneously and can accumulate in non-linear ways. We also discuss how the insights resulting from this analysis can be visualized for easier consumption by project participants not familiar with simulation methods.


2020 ◽  
Vol 10 (20) ◽  
pp. 7268
Author(s):  
Mickaël Lallart ◽  
Kui Li ◽  
Zhichun Yang ◽  
Shengxi Zhou

Thanks to their integrability and good electromechanical conversion abilities, piezoelectric actuators are a good choice for many actuation applications. However, these elements feature a frequency-dependent hysteresis response that may yield complex control implementation. The purpose of this paper is to provide the extension of a simple hysteresis model based on a system-level approach linking the strain derivative to the driving voltage derivative and taking into account the dynamic behavior of the hysteretic response of the actuator. The proposed enhancement consists of transient and harmonic regimes, allowing to extend the quasi-static model to dynamic behavior with any frequency. In particular, initial strain shift arising from stabilization and accommodation effects as well as frequency-dependent hysteresis shape are considered. The inclusion of the system dynamics in the model is obtained thanks to fractional derivatives and associated fractional transfer functions, allowing the consideration of the full actuator history as well as a fine tuning of the system dynamics over a wide frequency band. Finally, a numerical example of linearized control through compensation loop is provided, demonstrating the interest in the proposed approach for providing a computationally-efficient, simple yet efficient way for finely predicting the actuator response and thus designing appropriate controllers.


Author(s):  
E. Emanuel Almeida ◽  
He´lder G. Mendes ◽  
A. Marques Pinho

The current paper presents the validation of a finite element (FEM) design methodology for a CORE type power transformer. Any new methodology can only be implemented when it generates significant added value. The application of FEM to the design of power transformers leads to lighter, more balanced mechanical structures that are more economical to manufacture. To be sure that the methodology is a good predictor of the stress and strain effectively encountered by the power transformer, it is necessary to measure stress and strain during loading and compare those measurement values with the original FEM predictions. The current paper begins by first presenting the FEM predictions for a CORE type power transformer. Secondly, by means of extensometry, the strains induced in the tank during loading were measured and the stresses present in the tank were estimated from basic stress-strain relationships. The feedback given by the strain measurements served as a validation tool for the FEM design predictions.


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