2014
DOI: 10.4028/www.scientific.net/amr.875-877.2030
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The Model Reference Adaptive Control of the DC Electric Drive System

Abstract: Due to the parametric and structural uncertainty of the DC drive system, an adaptive control method is necessary. Therefore, an original model reference adaptive control (MRAC) for DC drives is proposed in this paper. MRAC ensures on-line adjustment of the control parameters with DC machine parameter variation. The proposed adaptive control structure provides regulating advantages: asymptotic cancellation of the tracking error, fast and smooth evolution towards the origin of the phase plan due to a sliding mod… Show more

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Cited by 2 publications
(4 citation statements)
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“…A new parameter K 1 has been introduced in augmented error synthesis scheme; this parameter has been identified. As in [5], the filter placed on the control signal is intended to replace zeros of the process by zeros of the reference model, the filter placed on the output signal replaces the process poles by those of the reference model and the parameters on the reference signal substitute the amplification of the system. The amplitude of the oscillations depends on the γ g parameter selection from the gradient adjustment law.…”
Section: Discussionmentioning
confidence: 99%
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“…A new parameter K 1 has been introduced in augmented error synthesis scheme; this parameter has been identified. As in [5], the filter placed on the control signal is intended to replace zeros of the process by zeros of the reference model, the filter placed on the output signal replaces the process poles by those of the reference model and the parameters on the reference signal substitute the amplification of the system. The amplitude of the oscillations depends on the γ g parameter selection from the gradient adjustment law.…”
Section: Discussionmentioning
confidence: 99%
“…2), is required because the tracking error e o cannot be used for on-line parameter identification. The adaptive controller synthesis can be performed in two ways: by knowing the process gain factor [5], and without knowing anything about the DC motor parameters, except the sign of the gain factor, as it is proposed in this paper. Consequently, the synthesis scheme of the augmented error e a becomes:…”
Section: The Reference Model the Dynamic Of The Reference Model Is A ...mentioning
confidence: 99%
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“…This condition that the tracking error differs from the identification error [2][3][4][5][6] implies, in this case, the use of the augmented error.…”
Section: Adaptive Robust Control Systemsmentioning
confidence: 99%