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基于带相移角双输入陷波器的磁悬浮转子转速估计方法

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针对磁悬浮转子在主动振动抑制过程中需要获取转子的实时转速信息,而某些情况下存在转速传感器失效或无法安装转速传感器的问题,提出了一种带相移角双输入陷波器的磁悬浮转子转速估计方法.首先,对磁悬浮转子进行了动力学建模,建立了转子广义坐标系和传感器坐标系的变换关系;然后,经过理论推导验证了该算法可以利用转子径向两通道位移输出相互正交的特性,准确估计出转子的转速,并在调整相移角后于整个转速范围内实现了转速估计的目的;此外,为了提高转速估计的准确性,在转速估计中加入了一阶惯性环节;最后,在磁轴承平台上进行了实验验证,尤其是对于磁悬浮转子转速极低的情况进行了验证.研究结果表明:该算法在2400 r/min和3000 r/min转速下的收敛时间分别提升了0.21 s和4.01 s,精度提高了87.4%,当转速发生变化时最快仅需0.15 s即可响应变化,且在极低速时仍可完成对转速的估计;该算法能够实现对转子转速的快速高精度估计.
Speed estimation method for magnetic suspension rotor based on dual-input notch filter with phase shift angle
In view of the fact that the active vibration suppression process of the magnetic levitation rotor requires the real-time rotation speed of the rotor.However,in some cases,there is a problem that the rotation speed sensor fails or the rotation speed sensor cannot be installed.A method for estimating the rotation speed of the magnetic levitation rotor with a phase shift angle dual-input notch was proposed.First,the transformation relationship between the rotor generalized coordinate system and the sensor coordinate system was established through dynamic modeling of the magnetic levitation rotor.Then,through theoretical derivation,it was verified that the proposed algorithm could accurately estimate the displacement output of the magnetic levitation rotor by utilizing the mutually orthogonal characteristics of the two channels in the radial direction of the rotor.According to the rotation speed of the rotor,the rotation speed could be estimated within the entire rotation speed range by adjusting the phase shift angle.In addition,in order to improve the accuracy of the rotation speed estimation,a first-order inertia link was added to the rotation speed estimation to compensate for the estimation accuracy.Finally,the proposed algorithm was experimentally verified on the magnetic bearing platform,especially for extremely low rotational speeds of the magnetic levitation rotor.The research results show that the convergence time of the algorithm proposed was respectively increased by 0.21 s and 4.01 s at 2 400 r/min and 3 000 r/min,and the accuracy was increased by87.4% .When the rotational speed changes,the fastest response to changes is only 0.15 s,the rotation speed can still be estimated at extremely low speeds,and the proposed algorithm can achieve fast and high-precision estimation of the rotor speed.

magnetic bearings platformactive vibration suppression of rotorreal-time rotation speed of rotorspeed estimation algorithmrotor dynamics modelingrotation speed sensor

张会娟、郭萌、薛佳奇、姬淼鑫、刘建娟

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河南工业大学 电气工程学院,河南 郑州 450001

磁轴承平台 转子主动振动抑制 转子实时转速信息 转速估计算法 转子动力学建模 转速传感器

国家自然科学基金资助项目河南省科技攻关项目河南工业大学青年骨干教师培育计划项目河南工业大学创新基金支持计划专项

62201199232102320037214201202021ZKCJ07

2024

10.3969/j.issn.1001-4551.2024.07.004

机电工程
浙江大学　浙江省机电集团有限公司

机电工程

CSTPCD北大核心
影响因子：0.785
ISSN：1001-4551
年,卷(期)：2024.41(7)
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