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Gray-box modeling and QFT control for precision servo transmission systems |
Xiulan BAO( ), Xuedong CHEN, Xin LUO, Haocheng ZUO |
State Key Laboratory of Digital Manufacturing Equipment & Technology, Huazhong University of Science and Technology, Wuhan 430074, China |
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Abstract Precision servo transmission systems have widely been applied in industrial equipment to achieve high accuracy and high speed motion. However, due to the presence of friction and uncertainty, the characteristics of precision servo transmission systems are variant depends on the working conditions, leading to oscillation and instability in the system performances. In this paper, a grey-box model of the system is established, the model structure derived from the theoretical modeling and the model parameters are obtained by experiments using set membership identification method. This paper proposes two-degrees of freedom (2-DOF) robust position controller for a precision servo transmission system, based on the quantitative feedback theory (QFT), to achieve high accuracy and consistent tracking performance even in presence of considerable system uncertainties and friction disturbances. The results of simulate and experiment validate the effectiveness of the proposed controller.
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Keywords
precision servo transmission system
modeling
set membership identification
quantitative feedback theory (QFT)
robustness
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Corresponding Author(s):
BAO Xiulan,Email:stupidm@gmail.com
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Issue Date: 05 December 2011
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