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Published Subscription Review Article
Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic ConditionsBy Ankita Madhukar Gaikwad, Bhushan Kadam
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article →