Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Artificial Intelligent Techniques and its Applications
Guest editors: Mahalingam Sundhararajan, Xiao-Zhi Gao and Hamed Vahdat Nejad
Article type: Research Article
Authors: Jinglong, Wen; * | Bin, Zheng
Affiliations: Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan, Shanxi, China
Correspondence: [*] Corresponding author. Wen Jinglong, Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, Shanxi, China. E-mail: swgsbg@163.com.
Abstract: Currently the matrix vibration of the strapdown inertial navigation system (SINS) for some cruise missile needs to be reduced and conventional algorithms occupy excessive hardware resources. Considering the vibration frequency range from 50 to 400HZ has the biggest impact on the guidance accuracy, we propose a target method for active vibration control in the SINS. Firstly, the requirement analysis is carried out for the target method, and secondly the MATLAB software is used to design the parameters and compare the filtering simulation. Then the hardware design is performed and the filtering algorithm is improved to reduce the power consumption approaching green computing. Finally the effectiveness and cost-efficiency of the target method for active vibration control in the SINS is verified by the experiment. The results show that the target method can separate the main vibration frequency which affects the guidance accuracy with a good linearity effect, efficient hardware utilization and low power consumption approaching green computing. Moreover, the accuracy, the effectiveness and efficiency of the control algorithm have been also significantly improved.
Keywords: Active vibration control, green computing, strapdown inertial navigation system (SINS), MATLAB, FPGA
DOI: 10.3233/JIFS-169394
Journal: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1003-1012, 2018
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl