Literature DB >> 28093203

A compound scheme on parameters identification and adaptive compensation of nonlinear friction disturbance for the aerial inertially stabilized platform.

Xiangyang Zhou1, Beilei Zhao2, Wei Liu3, Haixiao Yue4, Ruixia Yu5, Yulong Zhao6.   

Abstract

A compound scheme is proposed to compensate the effect of nonlinear friction disturbance on the control precision of a three-axis inertially stabilized platform (ISP) for aerial remote sensing applications. The scheme consists of friction parameters identification and adaptive compensation. A LuGre model-based ISP friction model is first developed. Then, a comprehensive experimental scheme is proposed to obtain the static friction parameters. Further, the dynamic parameters are identified by experiments and dynamic optimization. On the basis of identified parameters and Lyapunov stability theory, a backstepping integral adaptive compensator is designed to compensate the nonlinear friction disturbance. Simulations and experiments are carried out to validate the scheme. The results show that the compound scheme can accurately obtain the friction parameters and improve the control precision and stability of ISP.
Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.

Keywords:  Adaptive compensation; Aerial remote sensing; Inertially stabilized platform; Nonlinear friction disturbance; Parameters identification

Year:  2017        PMID: 28093203     DOI: 10.1016/j.isatra.2017.01.003

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.468


  2 in total

1.  Backstepping Sliding Mode Control for Radar Seeker Servo System Considering Guidance and Control System.

Authors:  Yexing Wang; Humin Lei; Jikun Ye; Xiangwei Bu
Journal:  Sensors (Basel)       Date:  2018-09-03       Impact factor: 3.576

2.  Composite Hierarchical Anti-Disturbance Control with Multisensor Fusion for Compact Optoelectronic Platforms.

Authors:  Yutang Wang; Dapeng Tian; Ming Dai
Journal:  Sensors (Basel)       Date:  2018-09-21       Impact factor: 3.576

  2 in total

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