A Novel Current Limitation Technique Exploiting the Maximum Capability of Power Electronic Inverter and Bearingless Machine

Wen, Zhuang; Valente, Giorgio; Formentini, Andrea; Papini, Luca; Gerada, Chris; Zanchetta, Pericle

doi:10.1109/tia.2021.3069149

Cited by 3 publications

(1 citation statement)

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“…Although the limitation of current in electric motors is a problem that has been addressed for decades, in recent years, significant effort is still being made in the design of techniques for limiting current in different kinds of electric motors ( [10]- [14]). In this regard, and according to the authors in [15], there exist two families of current limitation methods in terms of their presence in the normal operation of the motor.…”

Section: Introductionmentioning

confidence: 99%

Predictor-Based Current Limitation Method for a DC Motor-Actuated Upper-Limb Rehabilitation Exoskeleton

Pont-Esteban¹,

Sánchez-Urán²,

Contreras-Gonzalez³

et al. 2022

IEEE Access

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Current limitation is crucial to protect DC motors from overheating in overload situations. This consideration is more critical in applications that involve the movement of variable loads, such as exoskeleton applications, where there exists dynamic human-robot interaction. This work presents a software current limitation method based on a continuous DC motor model predictor. By predicting, according to the motor model, the voltages that would make the current match a threshold, the proposed method dynamically saturates the maximum voltages applicable to the motor to maintain the current under the predefined threshold. Using this method, a full-time current limitation can be obtained, but if desired, it also allows current peaks of configurable duration. Only motor parameters need to be known for the application of this algorithm, and it is easily adjustable to different DC motor models. Stand-alone motor tests show an effective limitation of current, achieving up to a 98.04% of maximum current when limited. The method has also been successfully validated in a rehabilitation exoskeleton application with four participants, obtaining an average current of 92.34% of current threshold when limited.

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Section: Introductionmentioning

confidence: 99%