@inproceedings{76d8c5e3f869456f9c918d1675379672,
title = "Adaptive predicting control for electrical load simulator",
abstract = "Electrical load simulator (ELS) is used for actuator performance testing on the ground. Disturbance torque is the key factor influencing test result. To improve ELS loading accuracy, this paper proposed an adaptive prediction control. This scheme predicts the trend of disturbance torque through the analysis of actuator position command. A compensation torque command is constructed by first differential and second differential of actuator position command. Its practical application shows that this scheme can reduce more than 90\% of disturbance torque and can avoid system shock some extent.",
keywords = "Adaptive predicting control, Compensation torque, Disturbance torque, Electrical load system",
author = "Jianyuan Xu and Yuefeng Li and Xudong Pan and Guanglin Wang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 ; Conference date: 19-08-2016 Through 22-08-2016",
year = "2016",
month = oct,
day = "21",
doi = "10.1109/URAI.2016.7734076",
language = "英语",
series = "2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "437--441",
booktitle = "2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016",
address = "美国",
}