Modeling of Multiphysics Electromagnetic & Mechanical Coupling and Vibration Controls Applied to Switched Reluctance Machine

Abstract : Due to its inherent advantages Switched Reluctance Machine (SRM) are appealing to the automotive industry. However, automotive traction is a very noise sensitive application where the acoustic behavior of the power train may be the distinction between market success and market failure. To make SRM more competitive in the automotive application, this work will focus on the control strategy to improve the acoustic behavior of SRM by vibration reduction. A semi-analytical electromagnetic/structural multi-physics model is proposed based on the simulation results of numerical computation. This multi-physics model is composed by electromagnetic and structural models, which are connected by the radial force. Two control strategies are proposed. The first strategy to improve the acoustic behavior of SRM by vibration reduction. A semi-analytical electromagnetic/ structural multi-physics model is proposed based on the simulation results of numerical computation. This multi-physics model is composed by electromagnetic and structural models, which are connected by the radial force. Two control strategies are proposed. The first one reduces the vibration by varying the turn-off angle, the frequency of the variable signal is based on the mechanical property of switched reluctance machine. Besides, an uniformly distributed random function is introduced to avoid local high vibration component. Another one is based on the Direct Force Control (DFC), which aims to obtain a smoother total radial force to reduce the vibration. An reference current adapter (RCA) is proposed to limit the torque ripple introduced by the DFC, which is caused by the absence of the current limitation. The second vibration reduction strategy named DFC&RCA is evaluated by experimental tests using an 8/6 SRM prototype. A hardware/software partitioning solution is proposed to implement this method, where FPGA board is used combined with a Microprocessor.
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Man Zhang. Modeling of Multiphysics Electromagnetic & Mechanical Coupling and Vibration Controls Applied to Switched Reluctance Machine. Vibrations [physics.class-ph]. Université Paris-Saclay, 2018. English. ⟨NNT : 2018SACLS287⟩. ⟨tel-02426016v1⟩

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