Performance Analysis of Adaptive Neuro Fuzzy Inference System Control for MEMS Navigation System
Joint Authors
Liu, Jianye
Xiong, Zhi
Zhang, Ling
Lai, Jizhou
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Characterized by small volume, low cost, and low power, MEMS inertial sensors are widely concerned and applied in navigation research, environmental monitoring, military, and so on.
Notably in indoor and pedestrian navigation, its easily portable feature seems particularly indispensable and important.
However, MEMS inertial sensor has inborn low precision and is impressionable and sometimes goes against accurate navigation or even becomes seriously unstable when working for a period of time and the initial alignment and calibration are invalid.
A thought of adaptive neuro fuzzy inference system (ANFIS) is relied on, and an assistive control modulated method is presented in this paper, which is newly designed to improve the inertial sensor performance by black box control and inference.
The repeatability and long-time tendency of the MEMS sensors are tested and analyzed by ALLAN method.
The parameters of ANFIS models are trained using reasonable fuzzy control strategy, with high-precision navigation system for reference as well as MEMS sensor property.
The MEMS error nonlinearity is measured and modulated through the peculiarity of the fuzzy control convergence, to enhance the MEMS function and the whole MEMS system property.
Performance of the proposed model has been experimentally verified using low-cost MEMS inertial sensors, and the MEMS output error is well compensated.
The test results indicate that ANFIS system trained by high-precision navigation system can efficiently provide corrections to MEMS output and meet the requirement on navigation performance.
American Psychological Association (APA)
Zhang, Ling& Liu, Jianye& Lai, Jizhou& Xiong, Zhi. 2014. Performance Analysis of Adaptive Neuro Fuzzy Inference System Control for MEMS Navigation System. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-511650
Modern Language Association (MLA)
Zhang, Ling…[et al.]. Performance Analysis of Adaptive Neuro Fuzzy Inference System Control for MEMS Navigation System. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-511650
American Medical Association (AMA)
Zhang, Ling& Liu, Jianye& Lai, Jizhou& Xiong, Zhi. Performance Analysis of Adaptive Neuro Fuzzy Inference System Control for MEMS Navigation System. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-511650
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511650