Vibration control of gun recoil system with magneto-rheological damper associated with adaptive hybrid skyhook active force control
Journal of the Brazilian Society of Mechanical Sciences and Engineering - Tập 43 - Trang 1-17 - 2021
Tóm tắt
This paper presents the evaluation of the vibration control on the performance of magneto-rheological fluid damper (MR damper in short) for gun recoil system. In this study, a magneto-rheological (MR) damper type RD-8040 manufactured by Lord Corporation is used. Then, characterization of MR damper is carried out by varying recoil energy and input currents to obtain its behavior. The MR damper is then modeled using adaptive neuro-fuzzy inference system (ANFIS) technique. The mathematical model of the gun recoil system (plant in control structure) is formulated, and a control strategy known as a hybrid skyhook active force control (H-SAFC) is proposed. Then, a current generator is designed using inverse ANFIS method to supply accurate amount of input currents to the MR damper coils. The simulation analysis of control strategy is conducted by varying the recoil energy and its performance compared with passive damper system. In order to improve the H-SAFC performance, an adaptive mechanism is developed for the adapting with various recoil energies. The performance of adaptive H-SAFC is evaluated by the simulation and experiment, and the performance criteria such as jerk, accelerations and forces of the gun recoil system are analyzed in the time domain.
Tài liệu tham khảo
Kumar JS, Paul PS, Raghunathan G, Alex DG (2019) A review of challenges and solutions in the preparation and use of magnetorheological fluids. Int J Mech Mater Eng 14:1–18. https://doi.org/10.1186/s40712-019-0109-2
Yuan X, Tian T, Ling H et al (2019) A review on structural development of magnetorheological fluid damper. Shock Vib 2019:1–33. https://doi.org/10.1155/2019/1498962
Li ZC, Wang J (2012) A gun recoil system employing a magnetorheological fluid damper. Smart Mater Struct 21:1–11. https://doi.org/10.1088/0964-1726/21/10/105003
Zhang J, Song W, Peng Z et al (2020) Microstructure simulation and constitutive modelling of magnetorheological fluids based on the hexagonal closed-packed structure. Materials 13:1–20. https://doi.org/10.3390/ma13071674
Tian T, Nakano M (2019) Fabrication and dynamic viscoelastic properties of MR elastomers with silicone oil. Int J Appl Electromagnet Mech 59:349–355. https://doi.org/10.3233/JAE-171162
Bai XX, Wereley NM, Wang DH (2017) Control and analysis of a magnetorheological energy absorber for both shock and vibration. Int J Acoust Vibr 22:104–110. https://doi.org/10.20855/ijav.2017.22.1456
Sariman MZ, Harun H, Ahmad F et al (2015) Vibration control of a passenger car engine compartment model using passive mounts systems. ARPN J Eng Appl Sci 10:7472–7476. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1065.2674&rep=rep1&type=pdf
Bai XF, Sen Y (2019) Hybrid controller of magnetorheological semi-active seat suspension system for both shock and vibration mitigation. J Intell Mater Syst Struct 30:1613–1628. https://doi.org/10.1177/1045389X19844009
Bai XX, Jiang P, Qian LJ (2017) Integrated semi-active seat suspension for both longitudinal and vertical vibration isolation. J Intell Mater Syst Struct 28:1036–1049. https://doi.org/10.1177/1045389X16666179
Bai XX, Wereley NM (2014) Magnetorheological impact seat suspensions for ground vehicle crash mitigation. In: Active and passive smart structures and integrated systems, pp 1–12. https://doi.org/10.1117/12.2045261
Tian T, Nakano M (2017) Design and testing of a rotational brake with shear thickening fluids. Smart Mater Struct 26:1–7. https://doi.org/10.1088/1361-665X/aa5a2c
Gang HG, Choi S-B, Sohn JW (2019) Experimental performance evaluation of a MR brake-based haptic system for teleoperation. Front Mater 6:1–25. https://doi.org/10.3389/fmats.2019.00025
Thakur M, Sarkar C (2020) Experimental and numerical study of magnetorheological clutch with sealing at larger radius disc. Def Sci J 70:575–582. https://doi.org/10.14429/dsj.70.15778
Idris MH, Imaduddin F, Mazlan SA (2020) A concentric design of a bypass magnetorheological fluid damper with a serpentine flux valve. Actuators 9:1–21. https://doi.org/10.3390/act9010016
Mai VN, Yoon D, Choi S, Kim G (2020) Explicit model predictive control of semi-active suspension systems with magneto-rheological dampers subject to input constraints. J Intell Mater Syst Struct 2020:1–14. https://doi.org/10.1177/1045389X20914404
Koo J-H, Goncalves FD, Ahmadian M (2004) Investigation of the response time of magnetorheological fluid dampers. In: Smart structures and materials damping and isolation, p 63. https://doi.org/10.1117/12.539643
Phu DX, Choi S-B (2019) Magnetorheological fluid based devices reported in 2013–2018: mini-review and comment on structural configurations. Front Mater 6:1–8. https://doi.org/10.3389/fmats.2019.00019
Ahmadian M, Poynor JC (2001) An evaluation of magneto rheological dampers for controlling gun recoil dynamics. Shock Vib 8:147–155. https://doi.org/10.1155/2001/674830
Ahmadian M, Appleton RJ, Norris JA (2003) Designing magneto-rheological dampers in a fire out-of-battery recoil system. IEEE Trans Magn 39:480–485. https://doi.org/10.1109/TMAG.2002.806381
Wang J, Li Y (2006) Dynamic simulation and test verification of MR shock absorber under impact load. J Intell Mater Syst Struct 17:309–314. https://doi.org/10.1177/1045389X06054331
Singh HJ, Wereley NM (2013) Adaptive magnetorheological shock isolation mounts for drop-induced impacts. Smart Mater Struct 22:1–10. https://doi.org/10.1088/0964-1726/22/12/122001
Singh HJ, Wereley NM (2014) Optimal control of gun recoil in direct fire using magnetorheological absorbers. Smart Mater Struct 23:1–12. https://doi.org/10.1088/0964-1726/23/5/055009
Fu B, Liao C, Li Z et al (2017) Impact behavior of a high viscosity magnetorheological fluid-based energy absorber with a radial flow mode. Smart Mater Struct 26:25025. https://doi.org/10.1088/1361-665X/aa56f4
Li Z, Gong Y, Wang J (2018) Optimal control with fuzzy compensation for a magnetorheological fluid damper employed in a gun recoil system. J Intell Mater Syst Struct. https://doi.org/10.1177/1045389X17754258
Oh J, Lee T, Choi S (2018) Design and analysis of a new magnetorheological damper for generation of tunable shock. Shock Vib 2018:1–11. https://doi.org/10.1155/2018/8963491
Park J, Yoon G, Kang J, Choi S (2016) Design and control of a prosthetic leg for above-knee amputees operated in semi-active and active modes. Smart Mater Struct 25:1–13. https://doi.org/10.1088/0964-1726/25/8/085009
Li DD, Keogh DF, Huang K et al (2019) Modeling the response of magnetorheological fluid dampers under seismic conditions. Appl Sci 9:1–16. https://doi.org/10.3390/app9194189
Aparow VR, Hudha K, Ahmad MMHM, Jamaluddin H (2016) Development and verification of a 9-DOF armored vehicle model. Jurnal Teknologi 6:117–137. https://doi.org/10.11113/jt.v78.5573
Batterbee DC, Sims ND (2007) Hardware-in-the-loop simulation of magnetorheological dampers for vehicle suspension systems. Proc Inst Mech Eng Part I: J Syst Control Eng 221:265–278. https://doi.org/10.1243/09596518JSCE304
Jeon S, Kim J, Jin SW et al (2018) Comparison of dynamic models of MR damper for hardware in the loop simulation of large-sized buses. Int J Automot Technol 19:677–685. https://doi.org/10.1007/s12239-018-0065-5
Kwak MK, Lee J-H, Yang D-H, You W-H (2014) Hardware-in-the-loop simulation experiment for semi-active vibration control of lateral vibrations of railway vehicle by magneto-rheological fluid damper. Veh Syst Dyn 52:891–908. https://doi.org/10.1080/00423114.2014.906631
Choi S, Song H, Lee H et al (2003) Vibration control of a passénger vehicle featuring magnetorheological engine mounts. Int J Vehicle Design 33:2–16. https://doi.org/10.1504/Ijvd.2003.003567
Rahmat MS, Hudha K, Kadir ZA et al (2020) Modelling and validation of magneto-rheological fluid damper behaviour under impact loading using interpolated multiple adaptive neuro-fuzzy inference system. Multidiscip Model Mater Struct 16:1–22. https://doi.org/10.1108/MMMS-10-2019-0187
Rahmat MS, Hudha K, Abd Kadir Z et al (2019) Comparison of control strategy on magneto-rheological fluid damper performance for impact reduction. IOP Conf Ser: Mater Sci Eng. https://doi.org/10.1088/1757-899X/530/1/012032
Moriasi DN, Arnold JG, Van Liew MW et al (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Am Soc Agric Biol Eng 50:885–900. https://doi.org/10.13031/2013.23153
Schwer L (2007) Guide for verification and validation in computational solid mechanics. Am Soc Mech Eng PTC 60:1–15
Thacker BH (2007) ASME Standards Committee on verification and validation in computational solid mechanics
Thacker BH, Doebling SW, Hemez FM et al (2004) Concepts of model verification and validation. N.P., New York. https://doi.org/10.2172/835920
Choi SB, Li W, Yu M et al (2016) State of the art of control schemes for smart systems featuring magneto-rheological materials. Smart Mater Struct 25:1–24. https://doi.org/10.1088/0964-1726/25/4/043001
Sabzehmeidani Y, Mailah M, Hussein M (2011) Modelling and control of a piezo actuated micro robot with active force control capability for in-pipe application. Int J Model Ident Control 13:301. https://doi.org/10.1504/IJMIC.2011.041785
Pitowarno E, Mailah M, Jamaluddin H (2002) Knowledge-based trajectory error pattern method applied to an active force control scheme. IIUM Eng J 3:1–15. https://doi.org/10.31436/iiumej.v3i1.349
Rahmat MS, Hudha K, Abd Kadir Z et al (2019) Modelling and control of a magneto-rheological elastomer for impact reduction. J Mech Eng Sci 13:5259–5277. https://doi.org/10.1017/CBO9781107415324.004
Li Z, Gong Y, Li S, Wang W (2019) Magnetic hysteresis compensation control of a magnetorheological damper. Front Mater 6:1–15. https://doi.org/10.3389/fmats.2019.00299