摘要
随着高端透平机械的发展,迫切需要准确预测转子系统的模态阻尼以确保在工作条件下稳定运行,而准确可靠的辨识出轴承的动力学性能参数是先决条件。通过电磁轴承作为激振器给柔性转子施加激励力,并综合多截面测点的转子振动信息准确识别转子的轴承参数。将转子-轴承系统转换为被控对象和控制器的闭环控制系统,从而把轴承参数的识别问题转为控制系统的控制器参数识别,解决传统识别方法转子轴承中心和振动位移测量点不一致的情况,并且可提高参数识别的准确度。建立高精度的转子有限元模型进行基于模型的参数识别,并开展试验研究以验证该方法的可行。通过使用识别的轴承刚度阻尼参数预测的转子稳定性参数(固有频率与对数衰减率)与通过传统的扫频激励的测量方法得到的结果相比较,验证该方法的准确性。该识别方法可为轴承参数的辨识提供便捷的方法并为提高高端透平机械的稳定性设计提供理论和技术基础。
With the increasing need for the high-end turbomachinery, an accurate prediction for mode damping is urgently needed to ensure the machinery stably operates under the operation condition, and the accurate and reliable prediction and identification of bearing dynamic performance parameters are the prerequisites. The magnetic bearing as the actuator is used to apply excitation force on the flexible rotor system, and the response vibration is measured to accurately identify the parameters of bearings. The rotor-bearing system is transformed to a closed-loop control system in which the rotor shaft and bearings are taken as controlled plant and controller respectively; thus, the identification of bearing parameters is transferred to the problem of identifying the parameters of controller in a control system. This transformation solves the problem that the measured sensor was not located at the center of the bearing pad in traditional method, and the information from multi-section sensors can be used to increase the identification accuracy. A high accurate finite element model is developed for the model-based parameter identification, and the experiment is also carried out to verify the feasibility of this method. The accuracy of this method is verified by comparing the rotordynamic stability parameters(natural frequencies and log decrements) which are predicted by the estimated bearing stiffness and damping, and the measured values estimated by the sine-swept excitation. This method can provide convenient method to identify the bearing coefficients and can provide theoretical and technical basis for the stability design of high-end turbomachinery.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2017年第23期1-6,共6页
Journal of Mechanical Engineering
基金
国家自然科学基金(51275028
51135001)
国家重点基础研究发展计划(973计划
2012CB026006)资助项目
关键词
轴承参数
识别
电磁轴承
转子稳定性
bearing parameter
identification
magnetic bearing
rotordynamicstability