摘要
为解决无接触、无摩擦无轴承异步电机低成本运行中转速辨识问题,提出了一种基于扩展卡尔曼滤波器的无速度传感器控制方法。该方法分别将电机的端电压和定子电流作为无轴承异步电机状态方程的控制变量和可测变量,并将系统状态方程降阶后,经扩展卡尔曼滤波器估计的递推公式得出含有电机转子转速的状态变量,实现转速参量的在线辨识并减少计算量。仿真结果表明:利用该检测方法构造的控制系统不仅能在宽速范围内有效观测转子转速,且具有优良的转速和转矩特性。进一步实验也表明,该控制方法能准确辨识出转速,并将转子径向位移峰-峰值控制在100μm以内稳定悬浮运行,实现了无轴承异步电机无速度传感器方式下的稳定悬浮运行,验证了所提检测方法的正确性与有效性。
In order to solve the speed identification problem for the bearingless induction motor in low cost operation without contact and friction,a speed sensorless control strategy based on the extended Kalman filter（ EKF） is proposed. After reducing the state equation,the terminal voltage and the stator current of the bearingless induction motor are used as control variable and measured variable of the state equation respectively. State variables containing rotor speed are obtained by recurrence formula of the EKF estimator,and the online identification of rotor speed can be realized with the reduced calculation. Simulation results show that the control system not only can effectively observe rotor speed of the bearingless induction motor in the wide speed range,but also has excellent speed and torque properties. Further experiments also show that the control system can accurately identify speed and keep the rotor radial displacement peakpeak value within 100 μm in stable suspension operation. The bearingless induction motor can realize stable suspension operation without the speed- sensor,and the correctness and the effectiveness of the method are verified.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2015年第5期1023-1030,共8页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(51475214
51305170)
江苏省自然科学基金(BK20130515
BK20141301)
江苏省"六大人才高峰"项目(ZBZZ-017)
中国博士后科学基金(2014T70482
2012M521012
2014M561583)
江苏大学高级人才科研启动项目(12JDG057
14JDG076)
江苏高校优势学科建设工程项目资助
