Identifying Nonlinear Motor Dynamics and Friction Characteristics Using Data-Driven Techniques for Improved Brushless DC Motor Control

Data-driven techniques, including Sparse Identification of Nonlinear Dynamics with control (SINDYc) and Time Delay Embedding, can be effectively used to extract the internal state of friction and build an accurate nonlinear motor model that outperforms conventional friction models for improved control performance.