2015
DOI: 10.1139/tcsme-2015-0017
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Experimental Verification of a Practical Digital Driver With Switched Gain-Tuning for Five-Phase Stepping-Motors

Abstract: A digital driver that has a switched self-tuning gain in its current regulator is designed for five-phase stepping motors so that their performance could be improved and adjusted more easily, than with an analog driver. The regulator has a fixed gain block in its feedback loop and an adjustable gain in the feedforward path, replacing the integrator and the high gain that were required in previous designs to achieve good steady-state performance and fast response. Extensive experiments have been conducted under… Show more

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Cited by 4 publications
(4 citation statements)
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References 11 publications
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“…In this paper, as a countermeasure to this problem, we use a control structure that is an extension of the constant current control method with variable adaptive gain proposed by Yagi et al [16]. This control structure is a two-degrees-of-freedom system, and after creating a stable closed-loop system, the characteristics of the entire system can be changed by adjusting the gain in the adaptive mechanism, which is the outer loop.…”
Section: Digital Control System Design By Direct Pim Methodsmentioning
confidence: 99%
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“…In this paper, as a countermeasure to this problem, we use a control structure that is an extension of the constant current control method with variable adaptive gain proposed by Yagi et al [16]. This control structure is a two-degrees-of-freedom system, and after creating a stable closed-loop system, the characteristics of the entire system can be changed by adjusting the gain in the adaptive mechanism, which is the outer loop.…”
Section: Digital Control System Design By Direct Pim Methodsmentioning
confidence: 99%
“…As a countermeasure to this problem, the integral adjustment law of the adaptive mechanism suppresses the windup by using a switch with a threshold value of u sat , the saturation value of the plant input. This switching structure prevents the adaptive gain from diverging [16].…”
Section: Adaptive Gain Update Rulementioning
confidence: 99%
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