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Characteristic Model Based All-coefficient Adaptive Control of a Flexible Rotor Suspended on Active Magnetic Bearings

机译:基于特征模型的柔性转子悬挂在主动磁轴承上的柔性转子的特征模型

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Active magnetic bearings (AMBs) have been used in many high-speed rotating machinery applications. Because of the nonlinear characteristics of magnetic bearings and complex dynamics of the flexible rotors, the problems of stabilization and disturbance rejection need to be extensively addressed for their smooth operation over a wide operating speed range. Conventional controller such as the proportional-integral-derivative (PID) design has played a major role in most AMB related applications. Although it is easy to implement, there exist limitations and drawbacks. The μ-synthesis approach can fulfill the requirement of robust performance, but it relies on the plant and uncertainty models, which are sometimes difficult to acquire for practical systems. This paper explores the use of the characteristic model based all-coefficient adaptive control (ACAC) method to stabilize a flexible rotor AMB system. This new control method does not require an actual model of the system. Both simulation and experimental results have shown its strong potential to perform well in spite of its simplicity.
机译:主动磁轴承(AMB)已被用于许多高速旋转机械应用。由于磁轴承的非线性特性和柔性转子的复杂动态,因此需要广泛地解决稳定和干扰排斥的问题,以便在宽的操作速度范围内进行平稳操作。传统的控制器如比例积分衍生物(PID)设计在大多数AMB相关的应用中发挥了重要作用。虽然很容易实现,但存在限制和缺点。 μ-合成方法可以满足强大的性能的要求,但它依赖于植物和不确定性模型,有时难以获得实际系统。本文探讨了基于特征模型的全系数自适应控制(ACAC)方法来稳定柔性转子AMB系统。这种新的控制方法不需要系统的实际模型。仿真和实验结果均表现出其强劲的潜力,尽管其简单性尽可能良好地表现。

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