A tiny neural network that imitates a hand-edited PI signal reduced overshoot in simulated FOC motor control by up to 87.5%, but its inference time misses the real-time microcontroller budget.
Model predictive control (mpc) design and implementation using algorithm-3 on board spartan 6 fpga sp605 evaluation kit
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Enhancing Field-Oriented Control of Electric Drives with Tiny Neural Network Optimized for Micro-controllers
A tiny neural network that imitates a hand-edited PI signal reduced overshoot in simulated FOC motor control by up to 87.5%, but its inference time misses the real-time microcontroller budget.