ANFIS with input space division for modeling magnetorheological energy absorber
文献类型：期刊论文
| 作者 | Shou, Mengjie1; Feng, Shenyao1; Liao, Changrong2; Yang, Ping-an1; Wang, Xiaojie1,3; Li, Rui1 |
| 刊名 | INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
 |
| 出版日期 | 2022-05-01 |
| 卷号 | 221 |
| 关键词 | Magnetorheological energy absorber Adaptive neuro-fuzzy inference system (ANFIS) Desirability function Input space division method Nonparametric model |
| ISSN号 | 0020-7403 |
| DOI | 10.1016/j.ijmecsci.2022.107183 |
| 通讯作者 | Liao, Changrong(crliao@cqu.edu.cn) ; Li, Rui(crliao@cqu.edu.cn) |
| 英文摘要 | A magnetorheological energy absorber (MREA) is a promising actuator for vibration and shock mitigation due to its continuous and controllable damping force. To take full advantage of this feature, a high-fidelity model that can accurately predict the MREA dynamic force is required. Therefore, this study focuses on proposing adaptive neural-fuzzy inference system (ANFIS) models for MREA that use the impact speed, displacement, velocity, acceleration and current as inputs and the MREA force as output. Three types of ANFIS models are developed based on different input space division methods, namely, the grid partition (GP) method, subtractive clustering (SC) algorithm and fuzzy c-means (FCM) algorithm. The best ANFIS model is chosen from each category by six criteria, i.e., mean absolute error (MAE), mean absolute percentage error (MAPE), root mean square error (RMSE), coefficient of variation (cov), coefficient of determination (R2) and training time. In addition, the desirability function is proposed to further decide the best model because these criteria do not have a uniform trend. Then, a comprehensive comparative analysis of the three best models is performed. The results show that the ANFIS model with 53 FIS rules generated by the FCM algorithm has the largest global desirability of 0.66782, demonstrating that it is the best one to predict the dynamic force of MREA under high-speed impacts. Accordingly, the values of MAE, MAPE, RMSE, cov and R-2 of this model varied in ranges of 0.31679-0.57118, 4.341818.43942, 0.44808-1.03095, 6.14134-15.23283 and 0.98973-0.99834, respectively, for various data sets. |
| WOS关键词 | DESIRABILITY FUNCTION ; VIBRATION CONTROL ; PREDICTION ; DAMPERS ; OPTIMIZATION ; SYSTEM ; ANFIS |
| 资助项目 | National Natural Science Foundation of China[52105088] ; Natural Science Foun-dation of Chongqing, China[cstc2021jcyj-bshX0156] ; Science and Technology Research Program of Chongqing Municipal EducationCommission[KJQN202100619] ; China Postdoctoral Science Foun-dation[2021MD703934] ; Special Key Project of Technological Innovation and Application Development in Chongqing[cstc2019jscx-fxydX0085] ; Cooperation Project Between Undergraduate Universities in Chongqing and Institutions Affiliated to the Chinese Academy of Sciences[HZ2021018] ; Innovation Research Group of Univer-sities in Chongqing[CXQT20016] |
| WOS研究方向 | Engineering ; Mechanics |
| 语种 | 英语 |
| WOS记录号 | WOS:000790708800002 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foun-dation of Chongqing, China ; Science and Technology Research Program of Chongqing Municipal EducationCommission ; China Postdoctoral Science Foun-dation ; Special Key Project of Technological Innovation and Application Development in Chongqing ; Cooperation Project Between Undergraduate Universities in Chongqing and Institutions Affiliated to the Chinese Academy of Sciences ; Innovation Research Group of Univer-sities in Chongqing |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/130917]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Liao, Changrong; Li, Rui |
| 作者单位 | 1.Chongqing Univ Posts & Telecommun, Sch Automat, Chongqing 400065, Peoples R China 2.Chongqing Univ, Coll Optoelect Engn, Key Lab Optoelect Technol & Syst, Minist Educ, Chongqing 400044, Peoples R China 3.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Adv Mfg Technol, Changzhou 213164, Peoples R China |
| 推荐引用方式 GB/T 7714 |
Shou, Mengjie,Feng, Shenyao,Liao, Changrong,et al. ANFIS with input space division for modeling magnetorheological energy absorber [J]. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES,2022,221. |
| APA |
Shou, Mengjie,Feng, Shenyao,Liao, Changrong,Yang, Ping-an,Wang, Xiaojie,&Li, Rui.(2022). ANFIS with input space division for modeling magnetorheological energy absorber .INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES,221. |
| MLA |
Shou, Mengjie,et al." ANFIS with input space division for modeling magnetorheological energy absorber ".INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES 221(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
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