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Research Papers

Discrete Sliding Mode Adaptive Vibration Control for Space Frame Based on Characteristic Model

[+] Author and Article Information
Hua Zhong

Institute of Electronic Engineering,
China Academy of Engineering Physics,
Mianyang 621999, China
e-mail: huazhong@mail.ustc.edu.cn

Qing Wang

Institute of Electronic Engineering,
China Academy of Engineering Physics,
Mianyang 621999, China
e-mail: 475616226@qq.com

Jun-hong Yu

Institute of Electronic Engineering,
China Academy of Engineering Physics,
Mianyang 621999, China
e-mail: 446919287@qq.com

Yi-heng Wei

Department of Automation,
University of Science and Technology of China,
Hefei 230027, China
e-mail: neudawei@ustc.edu.cn

Yong Wang

Professor
Department of Automation,
University of Science and Technology of China,
Hefei 230027, China
e-mail: yongwang@ustc.edu.cn

Contributed by the Design Engineering Division of ASME for publication in the JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS. Manuscript received September 6, 2015; final manuscript received July 24, 2016; published online September 1, 2016. Assoc. Editor: Firdaus Udwadia.

J. Comput. Nonlinear Dynam 12(1), 011003 (Sep 01, 2016) (8 pages) Paper No: CND-15-1280; doi: 10.1115/1.4034395 History: Received September 06, 2015; Revised July 24, 2016

A novel characteristic model-based discrete adaptive sliding mode control (SMC) scheme is proposed for vibration attenuation of the space frame. First, this paper establishes a characteristic model as real time model for the space structure. The characteristic model is simple and accurate. Furthermore, a novel discrete sliding mode control strategy is proposed with low chattering and strong robustness. In addition, the stability of the closed-loop control system is proved. Finally, simulation results show the effectiveness and strong robustness of the proposed scheme.

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References

Figures

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Fig. 1

The schematic diagram of space structure

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Fig. 2

Displacement of node 19

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Fig. 3

Displacement of node 22

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Fig. 4

Displacement of node 25

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Fig. 5

Control input signal

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Fig. 6

Sliding surface si(k)

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Fig. 7

Node 19 with sine disturbance

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Fig. 8

Node 22 with sine disturbance

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Fig. 9

Node 25 with sine disturbance

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Fig. 10

Node 19 with step disturbance

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Fig. 11

Node 22 with step disturbance

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Fig. 12

Node 25 with step disturbance

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Fig. 13

Node 19 with mismatched step disturbance

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Fig. 14

Node 22 with mismatched step disturbance

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Fig. 15

Node 25 with mismatched step disturbance

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