Using Full Order and Reduced Order Observers for Robust Sensorless Predictive Torque Control of Induction Motors

Davari, S. Alireza; Khaburi, Davood Arab; Wang, Fengxiang; Kennel, Ralph

doi:10.1109/tpel.2011.2179812

Cited by 164 publications

(52 citation statements)

References 29 publications

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“…Both observer gains are reported in Table IV along with their bandwidth. In some other works [32] a stability analysis has been made in order to properly tune the observer gain. In this paper the stability has been verified by simulation in different working points.…”

Section: Robustness Analysismentioning

confidence: 99%

Speed Finite Control Set Model Predictive Control of a PMSM Fed by Matrix Converter

Formentini

Trentin

Marchesoni

et al. 2015

IEEE Trans. Ind. Electron.

124

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Section: Robustness Analysismentioning

confidence: 99%

Speed Finite Control Set Model Predictive Control of a PMSM Fed by Matrix Converter

Formentini

Trentin

Marchesoni

et al. 2015

IEEE Trans. Ind. Electron.

124

View full text Add to dashboard Cite

“…The aim is usually forcing the control variables to track the reference value in a fast and accurate fashion. Some research have been done on the application of MPTC in low power motor drives, including weight optimization [5], [12], sensorless operation [6], [13] and experimental comparison with filed orientation control (FOC) [14], etc.…”

Section: Introductionmentioning

confidence: 99%

Torque ripple reduction of model predictive torque control of induction motor drives

Zhang

Yang

2013

2013 IEEE Energy Conversion Congress and Exposition

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Model predictive torque control (MPTC) has been proposed as an effective alternative to conventional direct torque control (DTC) for induction motor (IM) drives. Compared to DTC, MPTC is more effective and accurate in the vector selection by incorporating the system model directly with the finite switching states. However, due to the limited switching states in two-level inverter, applying only one voltage vector during one control period fails to reduce the torque ripple to the minimum value. This paper proposes an improved MPTC for the aim of torque ripple reduction by allocating only a fraction of control period to the active vector selected from conventional MPTC, while the rest of time is allocated for a null vector. The duration of the active vector is obtained based on the principle of torque ripple minimization. Presented simulation and experimental results prove that, compared to conventional MPTC, the proposed MPTC achieves better steady state performance by reducing both torque ripples and current harmonics. Meanwhile, the quick dynamic response of conventional MPTC is reserved.

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“…In both these classes, various observer structures and design approaches exist. For example, an artificial-neuralnetwork based estimator [12], square-root-unscented Kalman filtering [15], robust Kalman filtering [16], and H ∞ theory [13] have recently been applied to the observer gain design. Comparatively simple, but still very flexible, observer structures are the speed-adaptive full-order observer [3] and the inherently sensorless variant [20], [21] of the classical reduced-order observer [22].…”

Section: Introductionmentioning

confidence: 99%

Gain scheduling of a full-order observer for sensorless induction motor drives

Hinkkanen

Harnefors

2013

2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and P

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Abstract-This paper deals with the design of a speed-adaptive full-order observer for sensorless induction motor (IM) drives. A general stabilizing observer gain matrix, having three free design parameters, is used as a design framework. A gain-scheduled selection of the free design parameters is proposed. Furthermore, the full-order observer is augmented with the stator-resistance adaptation, and the local stability of the augmented observer is analyzed. The performance of the proposed full-order observer design is experimentally compared with a reduced-order observer using a 2.2-kW IM drive.

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Using Full Order and Reduced Order Observers for Robust Sensorless Predictive Torque Control of Induction Motors

Cited by 164 publications

References 29 publications

Speed Finite Control Set Model Predictive Control of a PMSM Fed by Matrix Converter

Speed Finite Control Set Model Predictive Control of a PMSM Fed by Matrix Converter

Torque ripple reduction of model predictive torque control of induction motor drives

Gain scheduling of a full-order observer for sensorless induction motor drives

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