A rotary self-sensing magnetorheological damper based on triboelectric nanogenerator

被引:0
|
作者
Zhao, Shiyu [1 ]
Hu, Rongchang [1 ]
Han, Guanghui [1 ]
Deng, Huaxia [2 ]
Ma, Mengchao [1 ]
Zhong, Xiang [1 ]
Gong, Xinglong [2 ]
机构
[1] Hefei Univ Technol, Sch Instrument Sci & Optoelect Engn, Hefei 230009, Peoples R China
[2] Univ Sci & Technol China, Dept Modern Mech, Hefei 230026, Peoples R China
基金
中国国家自然科学基金;
关键词
triboelectric nanogeneration; self-sensing; rotary magnetorheological damper; vehicle braking; SEMIACTIVE CONTROL; BRAKE DESIGN; MR FLUID;
D O I
10.1088/1361-665X/ad5d32
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
A rotary self-sensing magnetorheological (MR) damper(RSMRD) based on a triboelectric nanogenerator is proposed in this study, which can provide variable torque and state self-sensing without a power supply. Compared with traditional self-sensing devices, the sensing part of RSMRD has the advantages of small size, no external power supply, and good low-frequency response. The feasibility of the angular velocity self-sensing (AVS) function is verified through theoretical derivation and experimental verification. The experimental results demonstrate a linear relationship between the output voltage generated by the AVS component and the rotational speed of the rotating shaft. Additionally, the torque characteristics of the rotary self-sensing MR damper are tested, revealing a torque generation of approximately 9.26 N & sdot; m at a current of 1.6 A. Furthermore, a fuzzy control algorithm for vehicle braking is proposed, based on the model parameters of RSMRD. The simulink software is used to establish a dynamic model of 1/4 car braking, with an initial braking speed of 15 m s-1. The results indicate that the vehicle comes to a complete stop after 1.64 s, with a braking distance of 10.93 m. Throughout the braking process, the vehicle slip rate remains close to the optimal slip rate of 0.2.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] A self-sensing magnetorheological damper with power generation
    Chen, Chao
    Liao, Wei-Hsin
    SMART MATERIALS AND STRUCTURES, 2012, 21 (02)
  • [2] Design and analysis of a self-powered, self-sensing magnetorheological damper
    Chen, Chao
    Liao, Wei-Hsin
    ACTIVE AND PASSIVE SMART STRUCTURES AND INTEGRATED SYSTEMS 2011, 2011, 7977
  • [3] Solid-liquid triboelectric nanogenerator based self-sensing vibration suppression device
    Li, Yanwen
    Wang, Kaiqiang
    Yang, Hanwen
    Sun, Yilin
    Zhang, Hanli
    Xiao, Ke
    Li, Zhenkun
    Li, Decai
    Li, Jinjin
    NANO ENERGY, 2024, 131
  • [4] Principle, modeling, and validation of a relative displacement self-sensing magnetorheological damper
    Lai, DK
    Wang, DH
    Smart Structures and Materials 2005: Smart Structures and Integrated Systems, 2005, 5764 : 130 - 141
  • [5] Experimental Identification of a Self-Sensing Magnetorheological Damper Using Soft Computing
    Ni, Y. Q.
    Chen, Z. H.
    Or, S. W.
    JOURNAL OF ENGINEERING MECHANICS, 2015, 141 (07) : 04015001
  • [6] Shock and vibration control systems using a self-sensing magnetorheological damper
    Bai, Xian-Xu
    Wang, Dai-Hua
    ACTIVE AND PASSIVE SMART STRUCTURES AND INTEGRATED SYSTEMS 2014, 2014, 9057
  • [7] An integrated relative displacement self-sensing magnetorheological damper: prototyping and testing
    Wang, D. H.
    Bai, X. X.
    Liao, W. H.
    SMART MATERIALS & STRUCTURES, 2010, 19 (10):
  • [8] A novel velocity self-sensing magnetorheological damper: Design, fabricate, and experimental analysis
    Guan, Xinchun
    Ru, Yi
    Huang, Yonghu
    JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2019, 30 (04) : 497 - 505
  • [9] Development of a self-sensing magnetorheological damper with magnets in-line coil mechanism
    Hu, Guoliang
    Lu, Yun
    Sun, Shuaishuai
    Li, Weihua
    SENSORS AND ACTUATORS A-PHYSICAL, 2017, 255 : 71 - 78
  • [10] Principle, design and modeling of an integrated relative displacement self-sensing magnetorheological damper based on electromagnetic induction
    Wang, D. H.
    Wang, T.
    SMART MATERIALS AND STRUCTURES, 2009, 18 (09)