Generalized Two-Vector-Based Model-Predictive Torque Control of Induction Motor Drives

Zhang, Yongchang; Yang, Haojin

doi:10.1109/tpel.2014.2349508

Cited by 187 publications

(132 citation statements)

References 22 publications

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“…In fact, this assumption is a common practice in most study regarding MPTC, as shown in [5], [23]- [25], [27], [28], [30], [31], [38].…”

Section: B Vector Selectionmentioning

confidence: 97%

“…In MPTC, the cost function is usually defined as the linear combination of torque and flux errors to determine the best voltage vector, which is expressed as [22], [23]:…”

Section: B Vector Selectionmentioning

confidence: 99%

“…If field weaken operation or efficiency optimization is considered, the stator flux amplitude should be variable with the increase of rotor speed. In this paper, the field weaken operation and efficiency optimization are not considered, so we use constant stator flux reference, which is a common practice in MPTC/DTC drives, as shown in [5], [23]- [25], [27], [28], [30], [31], [38]. If rotor flux ψ r is already known, then references of ψ ref…”

Section: Proposed Mpfc a Operating Principlementioning

confidence: 99%

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Model-Predictive Control of Induction Motor Drives: Torque Control Versus Flux Control

Zhang

Yang

Xia

2016

IEEE Trans. on Ind. Applicat.

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154

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Recently, model predictive torque control (MPTC) has been introduced as a powerful control method for induction motor (IM) drives. However, the weighting factor for stator flux must be tuned carefully to obtain satisfactory performance at different operation points. Unfortunately, so far the tuning of weighting factor in MPTC is mostly based on empirical procedure. This paper solves this problem by proposing a model predictive flux control (MPFC), which uses the stator flux vector as the control variable and eliminates the complicated prediction of stator current at k+2 instant. As a result, the weighting factor in conventional MPTC is eliminated and the control complexity is significantly reduced. Both MPTC and MPFC are tested and compared in detail, including steady state performance, dynamic response and low speed operation. The simulation and experimental results prove that, the performance of conventional MPTC is dependent on the weighting factor and improper weighting factor would lead to significant performance deterioration. On the contrary, the proposed MPFC achieves similar or even better overall performance over a wide speed range with very low tuning work. Hence, it is concluded that the proposed MPFC is more practical than conventional MPTC.

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“…In fact, this assumption is a common practice in most study regarding MPTC, as shown in [5], [23]- [25], [27], [28], [30], [31], [38].…”

Section: B Vector Selectionmentioning

confidence: 97%

“…In MPTC, the cost function is usually defined as the linear combination of torque and flux errors to determine the best voltage vector, which is expressed as [22], [23]:…”

Section: B Vector Selectionmentioning

confidence: 99%

Section: Proposed Mpfc a Operating Principlementioning

confidence: 99%

See 1 more Smart Citation

Model-Predictive Control of Induction Motor Drives: Torque Control Versus Flux Control

Zhang

Yang

Xia

2016

IEEE Trans. on Ind. Applicat.

Self Cite

154

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show abstract

“…Thus, it increases the complexity and reduces the robustness. As for the appropriate active voltage vector, the selection algorithms include torque error minimization , prior model‐predictive‐based duty circle control , and FCS‐MPC . Although better performance is achieved, the main drawbacks of high calculation effort and high dependence on system and motor parameters still remain.…”

Section: Introductionmentioning

confidence: 99%

A novel model‐predictive direct control for induction motor drives

Yang

Liu

et al. 2019

IEEJ Transactions Elec Engng

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Three-phase induction motor (IM) drives play an important role in the variable speed applications from fractional horsepower to multi Megawatt power; it controls and evaluates them to be an interesting subject. This study presents a novel model-predictive direct torque control (MPDTC) for IM drives. It combines the direct torque control (DTC) and finite control set model-predictive control (FCS-MPC) methods, and uses the predictive look-up tables to enhance the overall performance of IM as the good steady-state performance, lower switching frequency, and to achieve relatively low computational complexity. The simulations and experiments are performed to verify the effectiveness of the proposed control strategy. As the main conclusion of this work, it overcomes the disadvantages of the DTC method such as the high torque and stator flux ripples and those of the FCS-MPC method such as the large amount of calculation and high average switching frequency.

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“…As a possible alternative MIMO control strategy, model predictive control (MPC) is considered in this paper. Thanks to the fast-computing DSP in the last decade, MPC, especially the Finite-Control-Set MPC (FCS-MPC), has been used intensively in the power electronics area, such as variablespeed motor drives [12], [17], matrix converters [18] , multilevel converters [19], [20] and other highly nonlinear topology [12]. However, there is no previous attempt to use MPC to control the four-leg back-to-back converter.…”

Section: Introductionmentioning

confidence: 99%

Independent Control Scheme for Nonredundant Two-Leg Fault-Tolerant Back-to-Back Converter-Fed Induction Motor Drives

Zhou¹,

Liu²

2016

IEEE Trans. Ind. Electron.

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This paper presents an investigation on a nonredundant topology for two-leg fault at a back-to-back converter-fed induction motor drives. In the case of faults occurring in any two inverter legs, the six-leg back-to-back converter can be changed to a four-leg back-to-back converter by employing one motor phase connected to the rectifier leg and another phase connected to the dc-link capacitor mid-point for fault tolerant operation. The fourleg back-to-back converter is very attractive for the merit of not requiring additional power switches for fault-tolerant. However, as the shared-leg connection between inverter and rectifier, the rectifier and the motor drive are deeply coupled. A novel scheme based model predictive control (MPC) is presented to achieve independent control of the grid and motor currents. The voltage limitation for independent control of the rectifier and motor drive is analyzed and the dc-link voltage utilization is improved by capacitor voltage suppression. With the proposed scheme, the output speed range of the converter is degraded but other performances, such as output torque capability, unity power factor and the dynamic response, are maintained after faults occur. Finally, the control concept is verified by a TMS320F28335 DSP-based prototype.

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Generalized Two-Vector-Based Model-Predictive Torque Control of Induction Motor Drives

Cited by 187 publications

References 22 publications

Model-Predictive Control of Induction Motor Drives: Torque Control Versus Flux Control

Model-Predictive Control of Induction Motor Drives: Torque Control Versus Flux Control

A novel model‐predictive direct control for induction motor drives

Independent Control Scheme for Nonredundant Two-Leg Fault-Tolerant Back-to-Back Converter-Fed Induction Motor Drives

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