Study of Reduction of Inrush Current on a DC Series Motor with a Low-Cost Soft Start System for Advanced Process Tools

Amesimenu, Governor David Kwabena; Chang, Kuan‐Chang; Sung, Tien-Wen; Wang, Hsiao-Chuan; Shyirambere, Gilbert; Chu, Kai-Chun; Hsu, Tsui-Lien

doi:10.1007/978-3-030-58669-0_53

Cited by 3 publications

(3 citation statements)

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“…LRn − i sat (13) In order to maximize the error, it is clear that L = L n | min , k e = k e | min and ω avg = ω max . The value of ω max is the maximum speed that could be achieved such that the motor current is i sat .…”

Section: Influence Of Error In Motor Parameters Estimationmentioning

confidence: 99%

Section: Influence Of Error In Motor Parameters Estimationmentioning

confidence: 99%

“…Unlike the other parameters, the value of R that contributes to error maximization cannot be obtained via first-glance exploration of expression (13). Hence, the error function in (13) has been plotted for the whole range of R = R n ± 5% (with steps of 0.0036Ω) to find the maximum error value. From this analysis, the maximum error for current limitation is e(t ph ) max = 72mA, and it is achieved at maximum speed, as explained before.…”

Section: Influence Of Error In Motor Parameters Estimationmentioning

confidence: 99%

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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: Influence Of Error In Motor Parameters Estimationmentioning

confidence: 99%

Section: Influence Of Error In Motor Parameters Estimationmentioning

confidence: 99%