Sensorless Predictive DTC of a Surface-Mounted Permanent-Magnet Synchronous Machine Based on Its Magnetic Anisotropy

Morales-Caporal, Roberto; Bonilla-Huerta, Edmundo; Arjona, M. A.; Hernández, C.

doi:10.1109/tie.2012.2198039

Cited by 34 publications

(10 citation statements)

References 36 publications

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“…In order to keep a fast torque response during transients, the switching transition from an AVSV to a ZVSV is not performed, and a single state is applied during the whole control cycle. By assuming a linear torque performance during the control cycle, the magnitude of the torque at (k + 1) can be predicted as [13]:…”

Section: Duty Cycle Optimisationmentioning

confidence: 99%

“…where Ṁ AVSV and Ṁ ZVSV are the torque derivatives for the AVSV and ZVSV, respectively, and are calculated as in [13]. The principle of the mean torque control is to keep the torque of the machine within the bandwidth of a virtual hysteresis Δ M , which can be calculated from Fig.…”

Section: Duty Cycle Optimisationmentioning

confidence: 99%

“…Nowadays, it is well-known that predictive control techniques are a real alternative to control AC drives with high efficiency and high performance in different industrial applications [2]. Predictive schemes enhance the control performance by the optimisation of the switching state applied to the voltage source inverter (VSI); so far, several predictive schemes have been presented, including Generalized Predictive Control (GPC) [3,4], finite set model predictive control (FS-MPC) [5][6][7][8][9][10][11], and predictive direct torque control (PDTC) [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modified model predictive torque control for a PMSM‐drive with torque ripple minimisation

Sandre-Hernández¹,

Rangel-Magdaleno

Morales-Caporal

2019

IET Power Electronics

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This paper presents an improved model predictive torque control (MPTC) scheme for a permanent magnet synchronous machine (PMSM). In conventional finite set model predictive control (FS-MPC), the optimal voltage space vector (VSV) is selected for application in the voltage source inverter (VSI) by the evaluation and minimisation of a cost function; however, the application of a single VSV in the whole control cycle leads to a relatively high torque ripple and a high sampling time is necessary to overcome this issue. In order to reduce these shortcomings without sacrificing torque reaction performance, a modified MPTC is proposed. First, in order to reduce the computational burden, a switching table is introduced for a reduction in the selection of the possible VSVs; further, to reduce the torque ripple, the duty cycle optimisation of a subset of VSVs available from the VSI is performed. The conventional FS-MPC and the proposed control scheme are implemented using a field programmable gate array, and are experimentally compared in terms of torque and flux ripple, current harmonics, and computational effort.

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Section: Duty Cycle Optimisationmentioning

confidence: 99%

Section: Duty Cycle Optimisationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modified model predictive torque control for a PMSM‐drive with torque ripple minimisation

Sandre-Hernández¹,

Rangel-Magdaleno

Morales-Caporal

2019

IET Power Electronics

View full text Add to dashboard Cite

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“…4. Besides, based on the observed equivalent EMF, the stator flux and torque within the kth sampling period can be observed as shown in (12) and (13) [27] whereĉ sa andĉ sb are the estimated stator flux andT e is the estimated torque.…”

Section: Design Of Fosmomentioning

confidence: 99%

“…Among all available MP control strategies in power electronics, MP direct current control and MP-DTC are the two most popular control methods [6]. MP-DTC can offer significant improvements over the traditional DTC method, and therefore it is widely used in AC motor drive control systems [7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Simplified model predictive direct torque control method without weighting factors for permanent magnet synchronous generator‐based wind power system

Guo

Zhang

Yang

et al. 2017

IET Electric Power Applications

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Conventional model predictive direct torque control (MP-DTC) of permanent magnet synchronous generator (PMSG) suffers from weighing factor tuning work and relatively large calculation amount. This study proposes a simplified MP-DTC method without weighting factors for PMSG-based wind power system. First, the torque and stator flux magnitude are predicted on the stationary reference frame instead of on the synchronous rotating reference frame, hence reducing the calculation amount. Second, a new cost function based on the torque and the reactive torque is developed in this study. As the torque and the reactive torque have the same order of magnitude, the weighting factor which is needed in the conventional MP-DTC system is eliminated. Meanwhile, the stator current and stator flux magnitude can be controlled indirectly by controlling the torque and reactive torque simultaneously, which ensures the stability of the system. Besides, the robustness of the proposed strategy to unknown PMSG parameter variations is improved to a certain extent. The experimental results validate the effectiveness of the proposed method.

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Sensorless flux adaption DTFC of an IPMSM based on an active flux‐based MTPA and an adaptive second‐order sliding mode observer

Chen

et al. 2020

IET Power Electronics

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This study proposes a sensorless flux adaption direct torque and flux control (DTFC) for an interior permanent magnet synchronous motor (IPMSM), in which an maximum torque per ampere (MTPA) based on active flux and an adaptive second-order sliding mode observer (SOSMO) are adopted. Flux adaption DTFC is proposed based on the existing active flux concept. Thus, the stator current amplitude can be minimised in both steady state and transient state. Furthermore, to realise the sensorless control of the IPMSM, an adaptive SOSMO is proposed. Compared with constant gains SOSMO, the gains of the adaptive SOSMO can be adjusted adaptively with the motor speed changing. Then, the precision of position estimation is enhanced effectively in a wide speed range. Numerical simulations and experiments with a 60 kW IPMSM are implemented. In addition, the results validate the capability of the proposed sensorless flux adaption DTFC scheme.

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Sensorless Predictive DTC of a Surface-Mounted Permanent-Magnet Synchronous Machine Based on Its Magnetic Anisotropy

Cited by 34 publications

References 36 publications

Modified model predictive torque control for a PMSM‐drive with torque ripple minimisation

Modified model predictive torque control for a PMSM‐drive with torque ripple minimisation

Simplified model predictive direct torque control method without weighting factors for permanent magnet synchronous generator‐based wind power system

Sensorless flux adaption DTFC of an IPMSM based on an active flux‐based MTPA and an adaptive second‐order sliding mode observer

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