The identification of reluctance actuators B-H hysteresis model using teachinglearning-based optimization

Chen, Qingsheng; Xu, Yujie; Yang, Xiaofeng; Li, Xiaoping

doi:10.1109/cac.2017.8243076

Cited by 1 publication

(1 citation statement)

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“…The idea of this paper is to deal with the multi-loop raterelated hysteresis nonlinearity of the reluctance motor through a smart method, that can achieve the purpose of high-precision control of the flux. This kind of nonlinearity is rarely discussed in permanent magnetic motors, but it exists in piezoelectric actuators widely and attracts lots of attention (Adriaens et al, 2000;Chen et al, 2017;Nie et al, 2022;Zhang et al, 2022). To describe the characteristics of hysteresis, various model structures are proposed.…”

Section: Introductionmentioning

confidence: 99%

Precision Flux Control of Linear Reluctance Actuator Using the Integral Sliding Mode Method

2022

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The performance of the actuator is becoming increasingly important in the ultra-precision stage. However, the traditional Lorentz motors with given mechanical parameters cannot provide enough force for the next-generation motion stage in the semiconductor industry since they achieve a physical limit of power factor. To tackle this problem, this study develops a novel-driven approach and its control strategy for high-dynamic stages. Explicitly, the proposed method utilizes a linear reluctance motor as an actuator, which could promote the continuous thrust significantly. A heuristic optimization-based Bouc–Wen model is established to describe the nonlinear behavior of the novel actuator. Also, a flux control algorithm based on the integral sliding mode is derived and adjusted for precision thrust generation. Comparative simulations on a specific linear reluctance motor confirm the effectiveness and superiority of the proposed method and show that it has the ability to conquer the force nonlinearity of the novel actuator.

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Section: Introductionmentioning

confidence: 99%