ABSTRACT

To handle the suspended rotor speed self-identification problem of a bearingless induction motor (BL-IM), a sensorless control strategy based on fuzzy PI fractional model reference adaptive system (MRAS) is proposed. First, based on the flux linkage error, fractional MRAS adaptive law is designed to accelerate the response speed of the controlled object, and Lyapunov theorem is used to prove the stability of the adaptive law. Then, the fuzzy control rules in the fuzzy PI controller are used to adjust PI parameters of adaptive law online in real time. Finally, the speed under no-load operation, abrupt speed change and abrupt change of load is estimated and sensorless control is realized. The simulation and experimental results show that the proposed fuzzy PI fractional MRAS control system of the BL-IM can not only effectively realize self-identification of speed under no-load, speed change and abrupt change of load, but also have good suspension characteristics of the motor suspended rotor, realizing high reliability and low costs of BL-IM.

摘要

针对无轴承感应电机（BL-IM）的悬浮转子转速自辨识问题，提出了一种基于模糊PI分数模型参考自适应系统（MRAS）的无传感器控制策略。首先，基于磁链误差，设计分数MRAS自适应律以加快被控对象的响应速度，并利用Lyapunov定理证明自适应律的稳定性。然后，利用模糊PI控制器中的模糊控制规则，实时在线调整自适应律的PI参数。最后对空载运行、急速变化和负载急变下的速度进行估计，实现无传感器控制。