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Robust Position Control of PMSM Using Fractional-Order Sliding Mode Controller
Author(s) -
Jiacai Huang,
Hongsheng Li,
YangQuan Chen,
Qinghong Xu
Publication year - 2012
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2012/512703
Subject(s) - control theory (sociology) , robustness (evolution) , sliding mode control , nonlinear system , permanent magnet synchronous motor , mathematics , position (finance) , robust control , fractional calculus , state variable , torque , computer science , control (management) , physics , biochemistry , chemistry , finance , quantum mechanics , artificial intelligence , economics , gene , thermodynamics
A new robust fractional-order sliding mode controller (FOSMC) is proposed for the position control of a permanent magnet synchronous motor (PMSM). The sliding mode controller (SMC), which is insensitive to uncertainties and load disturbances, is studied widely in the application of PMSM drive. In the existing SMC method, the sliding surface is usually designed based on the integer-order integration or differentiation of the state variables, while in this proposed robust FOSMC algorithm, the sliding surface is designed based on the fractional-order calculus of the state variables. In fact, the conventional SMC method can be seen as a special case of the proposed FOSMC method. The performance and robustness of the proposed method are analyzed and tested for nonlinear load torque disturbances, and simulation results show that the proposed algorithm is more robust and effective than the conventional SMC method

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