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Uncertain parameters variable structure neural network identifier in spherical actuator control system

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Owing to spherical actuator control system uncertain parameters generated control errors, our project established offline learning neural network identifier to correct systematic errors. But BP neural network identifier only learning or training offline, which can not be used for errors correcting online, that means control accuracy is susceptible to interference field. Therefore, this paper proposes a variable structure BP (VSBP) neural network identification algorithm to meet the needs of the online error correction control system. The simulation results show that VSBP neural network identifier solved the problem that BP neural network identifier can not meet the needs of the online error correction control system, improved noise immunity and reliability of the spherical actuator control system.

源语言英语
主期刊名CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
出版商Institute of Electrical and Electronics Engineers Inc.
574-579
页数6
ISBN(电子版)9781467383189
DOI
出版状态已出版 - 20 1月 2017
活动7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016 - Nanjing, Jiangsu, 中国
期限: 12 8月 201614 8月 2016

出版系列

姓名CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference

会议

会议7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016
国家/地区中国
Nanjing, Jiangsu
时期12/08/1614/08/16

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