Hysteresis Modeling of SMA in the Tail of a Bio-inspired Vehicle by ANFIS

被引：0

作者：

Rad, Nafise Faridi ^{[1
]}

Yousefi-Koma, Aghil ^{[1
]}

Mirjalili, Reihaneh ^{[1
]}

Basaeri, Hamid ^{[1
]}

机构：

[1] Univ Tehran, Coll Engn, Sch Mech Engn, CAST, Tehran, Iran

来源：

2016 4TH RSI INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHATRONICS (ICROM) | 2016年

关键词：

ANFIS; hysteresis modeling; shape memory alloy;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this work, An Adaptive Neuro Fuzzy Inference System (ANFIS) based hysteresis modeling is proposed for a bio-inspired bird tail mechanism actuated by shape memory alloys (SMA). Experimental data collected from the mechanism are used to train the ANFIS model. The input voltage, time and past output of the system are fed to the ANFIS model as inputs. The trained ANFIS model is validated using several experimental data sets. ANFIS model predicts hysteretic behavior of this system with good performance and acceptable error bounds.

引用

页码：445 / 448

页数：4

共 36 条

[31] Optimal design of a bio-inspired self-healing metal matrix composite reinforced with NiTi shape memory alloy strips
Poormir, Mohammad Amin
Khalili, Seyed Mohammad Reza
Eslami-Farsani, Reza
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2018, 29 (20) : 3972 - 3982
[32] Prediction of EDMed micro-hole quality characteristics using hybrid bio-inspired machine learning-based predictive approaches
Rao, Thella Babu
INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2023, 17 (02): : 747 - 764
[33] Bio-inspired Morphing Caudal Fin using Shape Memory Alloy Composites for a Fish-like Robot Design, Fabrication and Analysis
Coral, William
Rossi, Claudio
Perrino Martin, Irene
ICIMCO 2015 PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL. 2, 2015, : 336 - 343
[34] Prediction of EDMed micro-hole quality characteristics using hybrid bio-inspired machine learning-based predictive approaches
Thella Babu Rao
International Journal on Interactive Design and Manufacturing (IJIDeM), 2023, 17 : 747 - 764
[35] Hysteresis Modeling, Identification and Fuzzy PID Control of SMA Wire Actuators Using Generalized Prandtl-Ishlinskii Model with Experimental Validation
Basaeri, Hamid
Zakerzadeh, Mohammad Reza
Yousefi-Koma, Aghil
Rad, Nafise Faridi
Mahdavian, Mohammad
JOURNAL OF COMPUTATIONAL APPLIED MECHANICS, 2019, 50 (02): : 263 - 274
[36] Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes
Aghelpour, Pouya
Bahrami-Pichaghchi, Hadigheh
Kisi, Ozgur
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 170 (170)

← 1 2 3 4 →