Abstract
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 control horizons and the associated computational burden are dealt with by introducing a value function approximation in the model-predictive structure to quantify the impact of instantaneous decisions on future states. An augmented model of the drive is introduced to determine this value function approximation offline. The resulting optimization problem is implemented in a real-time environment and its effectiveness is established on an experimental setup for both steady state and dynamic load conditions. Experiments show that the proposed approach outperforms default model-based methods by up to 89.7%, thus making it a promising real-time optimal control strategy in the domain of electric drives.
Highlights
E LECTRIC drives have become key in industrial applications as well as in electromobility and renewable energy systems
A more computationally efficient tool is provided by [29], which allows the value function to be determined by offline solution of a semidefinite program (SDP)
The associated performances are compared to an Approximate dynamic programming (ADP)-algorithm with single-step prediction (ADP1) and traditional direct torque control (DTC) [3], with an optimized stator flux reference
Summary
E LECTRIC drives have become key in industrial applications as well as in electromobility and renewable energy systems. At the fast time scales in power converters, a considerable prediction horizon is required to yield a reliable solution, leading to intractable computational demands This necessitates the development of computationally efficient solvers that are approximately optimal for real-time control of electric drives. A more computationally efficient tool is provided by [29], which allows the value function to be determined by offline solution of a semidefinite program (SDP) This framework has been successfully applied in simulation in the context of current control of electric drives [30].
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