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A novel active disturbance rejection-based control strategy for a gun control system

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Abstract

To compensate for the nonlinearity and to achieve finely-tuned tracking accuracy of a gun control system driven by an AC machine, an improved active disturbance rejection control (IADRC) strategy with neural network embedding (NN-IADRC) is developed in this paper. The proposed IADRC, which has amnestic memory effects, can be regarded as an extension of the conventional ADRC (CADRC), making it a special case of the IADRC. To further attenuate the dependence on system models and enhance the disturbance rejection capacities of the IADRC strategy, an on-line NN-based optimum updating approach is also developed in this paper. Finally, a series of experiments are conducted on the semi-physical simulation platform to estimate the performance of the control system and the effects of the memory factor on the system. The experimental results confirm that the proposed NN-IADRC is highly robust. The results also confirm that it performs more excellently than the CADRC and that its fine tuning has attained tracking accuracy.

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Authors and Affiliations

  1. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210014, JS, China

    Qiang Gao, Guolai Yang, Runmin Hou, Li Wang & Yuanlong Hou

  2. Institute of North Automatic Control Technology, TY, 030006, China

    Zhan Sun

Authors
  1. Qiang Gao
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  2. Zhan Sun
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  3. Guolai Yang
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  4. Runmin Hou
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  5. Li Wang
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  6. Yuanlong Hou
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Corresponding author

Correspondence to Qiang Gao.

Additional information

Recommended by Associate Editor Kyongsu Yi

Qiang Gao obtained his B.S. and Ph.D. degrees in Nanjing University of Science and Technology in China in 2003 and 2008, respectively. He is currently a fulltime lecturer at the School of Mechanical Engineering at Nanjing University of Science and Technology, China. Dr. Gao’s research interests include intelligent modeling and control of AC/DC and electro-hydraulic servo systems.

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Gao, Q., Sun, Z., Yang, G. et al. A novel active disturbance rejection-based control strategy for a gun control system. J Mech Sci Technol 26, 4141–4148 (2012). https://doi.org/10.1007/s12206-012-0879-4

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  • DOI: https://doi.org/10.1007/s12206-012-0879-4

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