Sizing the Actuators for a Dragon Fly Prototype

Document Type : Research Paper

Authors

1 University “G. Fortunato”. Viale Raffaele Delcogliano, 12, Benevento, 82100, Italy

2 Department of Agricultural Science, University of Naples “Federico II”. Via Università 100, Portici, 80045, Italy

3 Department of Computer, Control and Management Engineering, University of Rome “La Sapienza”, Via Ariosto 25, Roma, 00185, Italy

4 Department of Industrial Engineering, University of Salerno, via Giovanni Paolo II 132, Fisciano, 84084, Italy

Abstract

In order to improve the design of the actuators of a Dragon Fly prototype, we study the loads applied to the actuators in operation. Both external and inertial forces are taken into account, as well as internal loads, for the purposes of evaluating the influence of the compliance of the arms on that of the "end-effector". We have shown many inadequacies of the arms regarding the stiffness needed to meet the initial design requirements. In order to reduce these inadequacies, a careful structural analysis of the stiffness of the actuators is carried out with a FEM technique, aimed at identifying the design methodology necessary to identify the mechanical elements of the arms to be stiffened. As an example, the design of the actuators is presented, with the aim of proposing an indirect calibration strategy. We have shown that the performances of the Dragon Fly prototype can be improved by developing and including in the control system a suitable module to compensate the incoming errors. By implementing our model in some practical simulations, with a maximum load on the actuators, and internal stresses, we have shown the efficiency of our model by collected experimental data. A FEM analysis is carried out on each actuator to identify the critical elements to be stiffened, and a calibration strategy is used to evaluate and compensate the expected kinematic errors due to gravity and external loads. The obtained results are used to assess the size of the actuators. The sensitivity analysis on the effects of global compliance within the structure enables us to identify and stiffen the critical elements (typically the extremities of the actuators). The worst loading conditions have been evaluated, by considering the internal loads in the critical points of the machine structure results in enabling us the sizing of the actuators. So that the Dragon fly prototype project has been set up, and the first optimal design of the arms has been performed by means of FEM analysis.

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Main Subjects

Publisher’s Note Shahid Chamran University of Ahvaz remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

[1] Fichter, E.F., Stewart Platform-Based Manipulator: General Theory and Practical Construction, International Journal of Robotics Research, 5(2), 1986, 157-182.
[2] Pappalardo, C.M., Vece, A., Galdi, D., Guida, D., Developing a Reciprocating Mechanism for the Emergency Implementation of a Mechanical Pulmonary Ventilator using an Integrated CAD-MBD Procedure., FME Transactions, 50, 2022, 238-247.
[3] Ravve, I., Gottlieb, O., Yarnitzky, Y., Nonlinear Dynamics and Stability of a Machine Tool Traveling Joint, Nonlinear Dynamics, 13(4), 1997, 373-394.
[4] Pappalardo, C.M., Lettieri, A., Guida, D., A General Multibody Approach for the Linear and Nonlinear Stability Analysis of Bicycle Systems. Part I: Methods of Constrained Dynamics, Journal of Applied and Computational Mechanics, 7, 2021, 655-670.
[5] Horn, B.K.P., Robot Vision, McGraw-Hill: New York, USA, 1986.
[6] l-Zahrani, M.A., Asiri, S.A., Ahmed, K.I., Eltaher, M.A., Free Vibration Analysis of 2D Functionally Graded Strip Beam using Finite ‎Element Method‎, Journal of Applied and Computational Mechanics, 8(4), 2022, 1422-1430.
[7] Bianchi, G., Molinari Tosatti, L., Fassi I., Virtual prototyping of parallel mechanisms, Journal of Multi-body Dynamics, 216(1), 2002, 21–37.
[8] Casillo, M., Colace, F., Gupta, B.B., Lorusso, A., Marongiu, F., Santaniello, D., Valentino, C., A Situation Awareness Approach for Smart Home Management, 2021 International Seminar on Machine Learning, Optimization, and Data Science, ISMODE 2021, 2022.
[9] Tang, L., Yao, H., Huang, Z., Wang, L., Zhu, X., How Wavelike Bumps Mitigate the Vortex-induced Vibration of a ‎Drilling Riser, Journal of Applied and Computational Mechanics, 7(3), 2021, 1413-1424.
[10] Li, T., Kou, Z., Wu, J., Yahya, W., Villecco, F., Multipoint Optimal Minimum Entropy Deconvolution Adjusted for Automatic Fault Diagnosis of Hoist Bearing, Shock and Vibration, 2021, 2021, 6614633.
[11] Celenta, G., De Simone, M.C., Retrofitting Techniques for Agricultural Machines, Lecture Notes in Networks and Systems, 2020.
[12] Zhao, S., Chen, C., Li, J., Gao, S., Guo, X., Trajectory Planning of Aerial Robotic Manipulator Using Hybrid Particle Swarm Optimization, Applied Sciences, 12, 2022, 10892.
[13] Liguori, A., Armentani, E., Bertocco, A., Formato, A., Pellegrino, A., Villecco, F., Noise Reduction in Spur Gear Systems, Entropy, 22, 2020, 1306.
[14] Sicilia, M., De Simone, M.C., Development of an Energy Recovery Device Based on the Dynamics of a Semi-trailer, Lecture Notes in Mechanical Engineering, 2020.
[15] Pappalardo, C.M., Manca, A.G., Guida, D., A Combined Use of the Multibody System Approach and the Finite Element Analysis for the Structural Redesign and the Topology Optimization of the Latching Component of an Aircraft Hatch Door, IAENG International Journal of Applied Mathematics,  51, 2021, 175-191.
[16] Andújar, D., Calle, M., Fernández-Quintanilla, C., Ribeiro, Á., Dorado, J., Three-Dimensional Modeling of Weed Plants Using Low-Cost Photogrammetry, Sensors, 18, 2018, 1077.
[17] Dasic, P., Franek, F., Assenova, E., Radovanovic, M., International Standardization and Organizations in the Field of Tribology, Industrial Lubrication and Tribology, 55(6), 2003, 287-291.
[18] Naviglio, D., Formato, A., Scaglione, G., Montesano, D., Pellegrino, A., Villecco, F., Gallo, M., Study of the Grape Cryo-Maceration Process at Different Temperatures, Foods, 7, 2018, 107.
[19] Dasic, P., Determination of Reliability of Ceramic Cutting Tools on the basis of Comparative Analysis of Different Functions Distribution, International Journal of Quality and Reliability Management, 18(4), 2001, 431-443.
[20] Tan, L., Wu, J., Yang, X., Song, S., Research on Optimal Landing Trajectory Planning Method between an UAV and a Moving Vessel, Applied Sciences, 9, 2019, 3708.
[21] Romanov, A.A., Filippov, A.A., Yarushkina, N.G., Adaptive Fuzzy Predictive Approach in Control, Mathematics, 11, 2023, 875.
[22] Yukawa, C., Saito, N., Hirata, A., Toyoshima, K., Nagai, Y., Oda, T., Barolli, L., Design of an Intelligent Robotic Vision Sys-tem for Optimization of Robot Arm Movement, 570 LNNS, 2023. 353 - 360. DOI: 10.1007/978-3-031-20029-8_34
[23] Chen, G., Lin, T., Ding, S., Chen, S., Ji, A., Lodewijks, G., Design and Test of an Active Pneumatic Soft Wrist for Soft Grippers, Actuators, 11, 2022, 311.
[24] Idà, E., Mattioni, V., Cable-Driven Parallel Robot Actuators: State of the Art and Novel Servo-Winch Concept, Actuators, 2022, 11, 290.
[25] Sun, Y., Lueth, T.C., SGCL: A B-Rep-Based Geometry Modeling Language in MATLAB for Designing 3D-Printable Medical Robots, 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), 2021.
[26] Sun, Y., Zhang, D., Liu, Y., Lueth, T.C., FEM-Based Mechanics Modeling of Bio-Inspired Compliant Mechanisms for Medical Applications, IEEE Transactions on Medical Robotics and Bionics, 2(3), 2020, 364-373.
[27] Sun, Y., Liu, Y., Pancheri, F., Lueth, T.C., LARG: A Lightweight Robotic Gripper With 3-D Topology Optimized Adaptive Fingers, IEEE/ASME Transactions on Mechatronics, 27(4), 2022, 2026-2034.
[28] Fogel, E., Teillaud, M., The computational geometry algorithms library CGAL, ACM Communications in Computer Algebra, 49(1), 2015, 10-12.
[29] Halperin, D., Robust geometric computing in motion, The International Journal of Robotics Research, 21(3), 2002, 219-232.
[30] Salvati, L., d’Amore, M., Fiorentino, A., Pellegrino, A., Sena, P., Villecco, F., Development and Testing of a Methodology for the Assessment of Acceptability of LKA Systems, Machines, 8, 2020, 47.
[31] Karabegovic, I., Karabegovic, E., Mahmic, M., Husak, E., Dissemination of Patents of the Base Technologies of the Fourth Industrial Revolution, Lecture Notes in Networks and Systems, 128, 2020, 3-15.
[32] Fanos, A.M., Pradhan, B., Alamri, A., Lee, C.-W., Machine Learning-Based and 3D Kinematic Models for Rockfall Hazard Assessment Using LiDAR Data and GIS, Remote Sensing, 12, 2020, 1755.
[33] Tsai, L.W., Buronson, H., Robot Analysis: The Mechanism of Serial and Parallel Manipulators, John Wiley and Sons Inc, 1999.
[34] Dertimanis, V.K., Chatzi, E.N., Masri, S.F., On the Active Vibration Control of Nonlinear Uncertain Structures, Journal of Applied and Computational Mechanics, 7, 2021, 1183-1197.
[35] Guida, R., De Simone, M.C., Dašic, P., Guida, D., Modeling techniques for kinematic analysis of a six-axis robotic arm, IOP Conference Series: Materials Science and Engineering, 568 (1), 2019, 012115.
[36] Yin, S., Shen, G., Adaptive Backstepping Sliding Mode Control for the Vertical Launching Barrel-Cover of the Underwater Missile, Symmetry, 11, 2019, 878.
[37] Wu, L., Yang, Y., Xie, B., Modeling Analysis on Coupling Mechanisms of Mountain–Basin Human–Land Systems: Take Yuxi City as an Example, Land, 11, 2022, 1068.