Design and Decoupled Compensation Methods of a PM Motor Capable of 6-D Force/Torque Actuation for Minimum Bearing Reaction

Bai, Kun; Lee, Kok-Meng; Cao, Jun; Xu, Ruoyu; Li, Lei

doi:10.1109/tmech.2017.2713397

Cited by 8 publications

(1 citation statement)

References 30 publications

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“…PHERICAL motors are a new type of motor which can perform multi-degree of freedom (DOF) of motion. In recent years, spherical motor has attracted much attention from academics and practitioners all over the world, as an expected substitute for traditional single-axis motor used in manipulators, satellites, and other multi-DOF devices [1][2][3]. Similar to traditional electric motors, spherical motors are based on induction motors [4], reluctant motors [5], magnetic levitation motors [6], and permanent magnet motors [7].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Analysis of Permanent Magnet Spherical Motors by a Multitask Gaussian Process Method and Finite Element Method for Output Torque

Wen

Wang

et al. 2021

IEEE Trans. Ind. Electron.

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Permanent magnet spherical motors (PMSMs) operate on the principle of the DC excitation of stator coils and three freedom of motion in the rotor. Each coil generates the torque in a specific direction, collectively they move the rotor to a direction of motion. Modeling and analysis of the output torque are of critical importance for in precise position control applications. The control of these motors requires precise output torques by all coils at a specific rotor position. It is difficult to achieve in the three-dimension space. This paper is the first to apply the Gaussian process to establish the relationship of the rotor position and the output torque for PMSMs. Traditional methods are difficult to resolve such a complex 3D problem with a reasonable computational accuracy and time. This paper utilizes a data-driven method using only input and output data validated by experiments. The multi-task Gaussian process (MTGP) is developed to calculate the total torque produced by multiple coils at the full operational range. The training data and test data are obtained by the finite element method. The effectiveness of the proposed method is validated and compared with existing data-driven approaches. The results exhibit superior performance of accuracy.

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