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Study of model-free adaptive data-driven SMC algorithm

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Abstract

A kind of adaptive sliding model control algorithm is developed to solve and improve the mathematical model dependency and un-modeled dynamics of a controlled system. The control strategy derived from a kind of data-driven control method in essence, thereby the input and output data are utilized by the controller with no information about the control system model. Theoretical analysis proves that this proposed control algorithm can improve the utilization of the estimated pseudo partial derivative information and accelerate the velocity of the convergence. The stability of the control system is further verified by rigorous mathematical analysis. This new discrete-time nonlinear systems model-free control algorithm obtained better control performance through the simulations for the linear motor position and the information tracking speed, which also achieved robust and accurate traceability.

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Authors and Affiliations

  1. School of Electrical Engineering & Automatic, Henan Polytechnic University, Jiaozuo, 454000, China

    Wei Hu & Jie Tang

  2. Yima Coal Group Co., Ltd, Yima, 472300, China

    Wei Hu

Authors
  1. Wei Hu
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  2. Jie Tang
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Corresponding author

Correspondence to Jie Tang.

Additional information

This work was supported by Key Programs for Science and Technology Development of Henan Province (No. 102102210197); the Opening Project of Key Laboratory of Mine Informatization, Henan Polytechnic University and the Doctoral Foundation of Henan Polytechnic University (No.B2010-23)

Recommended by Associate Editor Yuan-Qing Xia

Wei Hu received the B. Sc. and M. Sc. degrees in automation and control theory and control engineering from the Henan Polytechnic University, China in 1999 and 2002, respectively. He received the Ph.D. degree in astrophysics from Nanjing Institute of Astronomical Optics & Technology, National Astronomical Observatories, Chinese Academy of Sciences, China in 2009. Now, he is an associate professor at School of Electrical Engineering & Automation, Henan Polytechnic University, China. He has published more than 15 papers. He has applied for 4 national invention patents and participated in 2 projects supported by National Natural Science Fundation of China.

His research interests include power electronics, power transmission, intelligent control, and fault diagnosis.

ORCID iD: 0000-0003-1935-5621

Jie Tang received the B. S c. degree in automation from Henan Polytechnic University, China in 2008. Now, she is a master student in control theory and control engineering at Henan Polytechnic University, China.

Her research interests include the servodriven control for permanent magnet synchronous motor and permanent magnet linear synchronous motor, model-free adaptive control and intelligent control and PMLSM, model-free adaptive control and intelligent control.

ORCID iD: 0000-0001-9198-3564

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Hu, W., Tang, J. Study of model-free adaptive data-driven SMC algorithm. Int. J. Autom. Comput. 13, 183–190 (2016). https://doi.org/10.1007/s11633-015-0922-x

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  • DOI: https://doi.org/10.1007/s11633-015-0922-x

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