Estimation of Residual Traveling Distance for Power Wheelchair Using Neural Network

被引：0
|
作者：
Chen, Pei-Chung [1 ]
Li, Xiao-Qin [2 ]
Koh, Yong-Fa [1 ]
机构：
[1] Southern Taiwan Univ Sci & Technol, Dept Mech Engn, Tainan 71005, Taiwan
[2] Ningbo Polytech, Dept Elect & Informat Engn, Ningbo 315800, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES AND ENGINEERING SYSTEMS (ICITES2014) | 2016年 / 345卷
关键词：
Residual traveling distance; Residual energy; Power wheelchair; CHARGE; STATE;
D O I：
10.1007/978-3-319-17314-6_6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The residual traveling distance of a power wheelchair is difficult to estimate due to the unknown factors of user manipulation behavior and journey characteristics of wheelchair. A virtual residual energy estimation system for power wheelchair based on neural network is proposed to estimate virtual residual energy which could be transformed into residual traveling distance. Two types of estimation systems with three training processes are presented. The estimated results are provided and compared. The results indicate that type-A estimation system with adaptive learning rate is a feasible solution based on economic factor and estimated performance.
引用
收藏
页码：43 / 49
页数：7
相关论文
共 50 条
  • [1] Power System Inertia Estimation Using A Residual Neural Network Based Approach
    Ramirez-Gonzalez, M.
    Sevilla, F. R. Segundo
    Korba, P.
    [J]. 2022 IEEE 4TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2022), 2022, : 355 - 360
  • [2] Gaze Estimation Using Residual Neural Network
    Wong, En Teng
    Yean, Seanglidet
    Hu, Qingyao
    Lee, Bu Sung
    Liu, Jigang
    Deepu, Rajan
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 2019, : 411 - 414
  • [3] Obstacle avoidance for power wheelchair using Bayesian neural network
    Trieu, Hoang T.
    Nguyen, Hung T.
    Willey, Keith
    [J]. 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 4771 - 4774
  • [4] Wind power estimation using artificial neural network
    Singh, Shikha
    Bhatti, T. S.
    Kothari, D. P.
    [J]. JOURNAL OF ENERGY ENGINEERING, 2007, 133 (01) : 46 - 52
  • [5] Considerations when Traveling with a Power Wheelchair
    Doherty, John Jay
    [J]. ASSISTIVE TECHNOLOGY, 2023, 35 : S18 - S18
  • [6] Power Quality Disturbances Classification Analysis Using Residual Neural Network
    Abd Jamlus, Nurul Usni Iman
    Shahbudin, Shahrani
    Kassim, Murizah
    [J]. 2022 IEEE 18TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & APPLICATIONS (CSPA 2022), 2022, : 442 - 447
  • [7] WIND POWER ESTIMATION USING RECURRENT NEURAL NETWORK TECHNIQUE
    Olaofe, Z. O.
    Folly, K. A.
    [J]. 2012 IEEE POWER ENGINEERING SOCIETY CONFERENCE AND EXPOSITION IN AFRICA (POWERAFRICA), 2012,
  • [8] Load Estimation of Power Transformers using an Artificial Neural Network
    Agudelo Zapata, Laura
    Velilla Hernandez, Esteban
    Lopez-Lezama, Jesus
    [J]. 2012 IEEE INTERNATIONAL SYMPOSIUM ON ALTERNATIVE ENERGIES AND ENERGY QUALITY (SIFAE), 2012,
  • [9] Distance Estimation using Polynomial Approximation and Neural Network Based on RSSI technique
    Gadhgadhi, Achref
    Hachaichi, Yassine
    Zairi, Hassan
    [J]. 2019 19TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA), 2019, : 24 - 29
  • [10] Mahalanobis Distance-Based Road Condition Estimation Method using Network-Connected Manual Wheelchair
    Kojima, Kazuyuki
    Taniue, Hiroki
    Kaneko, Jun'ichi
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW), 2016, : 279 - 280
12345