@inproceedings{e1caabd5ee8f405f84cb6caa98cbf4e0,
title = "Optimal Control Method of Motor Torque Loading Based on Genetic Algorithm",
abstract = "This paper designs an automatic calibration method and system of motor torque for the problem of low loading accuracy of motor torque. The system uses genetic algorithm to optimize PID parameters and load control and measurement of the motor. The genetic algorithm is realized in the simulation platform, and the iterative operation is carried out by setting different cross probability and mutation probability parameters. The results are substituted into the motor model to analyze the response speed and anti-interference ability of the motor to the given random signal, and the optimal PID parameters are obtained as the configuration parameters of the motor torque automatic calibration system. The experimental results show that compared with the traditional motor torque calibration loading control, the accuracy of the system torque calibration error is improved and the error range is controlled within ±0.003 N · m, which verifies the effectiveness and feasibility of this method.",
keywords = "Anti interference ability, Genetic algorithms, Loading control, Motor torque calibration accuracy, PID parameters, Response speed",
author = "Shaohua Niu and Wencai Zhang and Tianzhen Li and Gan Zhan",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022 ; Conference date: 01-08-2022 Through 03-08-2022",
year = "2022",
doi = "10.1007/978-3-031-13844-7_21",
language = "English",
isbn = "9783031138430",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "209--217",
editor = "Honghai Liu and Weihong Ren and Zhouping Yin and Lianqing Liu and Li Jiang and Guoying Gu and Xinyu Wu",
booktitle = "Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings",
address = "Germany",
}