A RBFNN-Based Adaptive Disturbance Compensation Approach Applied to Magnetic Suspension Inertially Stabilized Platform
Joint Authors
Lei, Xusheng
Mu, Quanqi
Liu, Gang
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Compared with traditional mechanical inertially stabilized platform (ISP), magnetic suspension ISP (MSISP) can absorb high frequency vibrations via a magnetic suspension bearing system with five degrees of freedom between azimuth and pitch gimbals.
However, force acting between rotor and stator will introduce coupling torque to roll and pitch gimbals.
Since the disturbance of magnetic bearings has strong nonlinearity, classic state feedback control algorithm cannot bring higher precision control for MSISP.
In order to enhance the control accuracy for MSISP, a disturbance compensator based on radial basis function neural network (RBFNN) is developed to compensate for the disturbance.
Using the Lyapunov theorem, the weighting matrix of RBFNN can be updated online.
Therefore, the RBFNN can be constructed without priori training.
At last, simulations and experiment results validate that the compensation method proposed in this paper can improve ISP accuracy significantly.
American Psychological Association (APA)
Mu, Quanqi& Liu, Gang& Lei, Xusheng. 2014. A RBFNN-Based Adaptive Disturbance Compensation Approach Applied to Magnetic Suspension Inertially Stabilized Platform. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-488854
Modern Language Association (MLA)
Mu, Quanqi…[et al.]. A RBFNN-Based Adaptive Disturbance Compensation Approach Applied to Magnetic Suspension Inertially Stabilized Platform. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-488854
American Medical Association (AMA)
Mu, Quanqi& Liu, Gang& Lei, Xusheng. A RBFNN-Based Adaptive Disturbance Compensation Approach Applied to Magnetic Suspension Inertially Stabilized Platform. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-488854
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-488854