Addressing the issue of resonance frequency identification in permanent magnet synchronous linear motors with flexible loads, this paper proposes the calculation of the resonance frequency by employing a nonlinear Extended Kalman Filter ( EKF) for load inertia identification. This study initially establishes a dual-mass system model, then implements the EKF algorithm on the system model, with a focus on formulating the state and measurement equations within the dual-mass system model. An EKF dual-mass system simulation model is developed, and simulation experiments are conducted. Finally, the EKF algorithm is applied to the permanent magnet synchronous linear motor system for identification, achieving load inertia identification for permanent mag-net synchronous linear motors with flexible loads. Simulation validation demonstrates the capability to identify a 0.1 kg∗m2 load in-ertia within 0.1 seconds. During inertia transformation, the identification results can be promptly corrected in real-time, with an i-dentification error of less than 1％.
关键词
永磁同步直线电机/扩展卡尔曼滤波/负载惯量/参数辨识
Key words
permanent magnet synchronous linear motor/extended kalman filtering/load inertia/parameter identification
维普
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