Real-Time Energy-Efficient Actuation of Induction Motor Drives Using Approximate Dynamic Programming

This article proposes a real-time control strategy for induction motor drives, harmonizing accurate torque, and flux tracking with energy efficiency. Common problems related to lengthy horizons the associated computational burden are dealt by introducing value function approximation in model-predictive structure quantify impact of instantaneous decisions on future states. An augmented model drive is introduced determine this offline. The resulting optimization problem implemented environment its effectiveness established an experimental setup both steady state dynamic load conditions. Experiments show that proposed approach outperforms default model-based methods up 89.7%, thus making it promising optimal domain electric drives.