Affiliations: [a] School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China | [b] School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China | [c] School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, Jiangsu, China
Correspondence:
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Corresponding author: Xiaodong Sun, School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China. E-mail:[email protected]
Abstract: In this paper, a novel decoupling control approach based
inverse system and internal model control methods are presented to improve
the dynamic properties and control accuracy of a reluctance type bearingless
motor (RBLM) effectively. By employing the inverse system method, we can
obtain a decoupling pseudo-linear system, which consists of two second-order
linear integral subsystems and one first-order linear integral subsystem. In
addition, to reject the influence of the unmodeled dynamics the decoupling
control accuracy as well as enhance RBLM system robustness, the 2
degree-of-freedom (DOF) internal model control approach is used for the
three subsystems to design closed-loop controllers. The effectiveness of the
proposed decoupling control approach is validated by experimental results at
various operations.
Keywords: Reluctance type bearingless motor (RBLM), inverse system, internal model control, decoupling control, robustness
