Inverse System Analysis and Modeling of Bearingless Induction Motor and Its Combined Control Strategy

Abstract EN

Bearingless induction motor is a multi-variable, nonlinear and strong coupling object, the existing inverse control method ignores the stator current dynamics of torque system.

Aiming at its nonlinear and strong coupling problems, a novel combinatorial decoupling control strategy based on stator flux orientation and inverse system method is proposed.

Taking the stator current dynamics of four-pole torque system into account, the reversibility and inverse system model of torque system are analyzed and established.

Adopting the inverse system method, the dynamic decoupling between motor speed and stator flux-linkage is achieved; by online identification and calculation, the airgap flux-linkage of torque system is got.

Based on above, feedback and compensation control of two radial displacement components of two-pole suspension system is realized.

Simulation results have shown the higher decoupling control performance and stronger anti-interference ability of the decoupling control system; the proposed decoupling strategy not only owns the characteristics of be simple and convenient, but also is effective and feasible.