Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control

Wang, Fengxiang; Zhang, Zhenbin; Mei, Xi; Rodríguez, José; Kennel, Ralph

doi:10.3390/en11010120

Cited by 225 publications

(170 citation statements)

References 32 publications

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“…The AGT method relies on the computation of the air-gap torque by considering the stator flux equations, obtained by integrating the stator voltages. The voltage equations of a three-phase IM are given by [20,21]:…”

Section: Air-gap Torque Methodsmentioning

confidence: 99%

“…Because of this characteristic, this resistance is to be used in the air-gap torque equation to provide an estimation for the shaft torque. Thus, in a given application, firstly the modified stator resistance is estimated by using (21) and (22), and only after that, the shaft torque is estimated by using (7) with the modified stator resistance.…”

Section: Modified Stator Resistance Estimation-"methods 1"mentioning

confidence: 99%

“…The fictitious values for voltages and currents are obtained from nameplate data and used in the simulation. Then, the modified stator resistance is estimated by using (21) and (22).…”

Section: Case 2: Alternative Estimation Of the Modified Stator Resistmentioning

confidence: 99%

“…A and K B are calculated by(21). R * s is computed by(22), considering mK A −1 and mK B −mean values of K A and K B from the last sample).…”

mentioning

confidence: 99%

See 3 more Smart Citations

Comparison among Methods for Induction Motor Low-Intrusive Efficiency Evaluation Including a New AGT Approach with a Modified Stator Resistance

Salomon¹,

Sant’Ana

Lambert‐Torres³

et al. 2018

Energies

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Induction motors consume a great portion of the generated electrical energy. Moreover, most of them work at underloaded conditions, so they have low efficiencies and waste a lot of energy. Because of this, the efficiency estimation of in-service induction motors is a matter of great importance. This efficiency estimation is usually performed through indirect methods, which do not require invasive measurements of torque or speed. One of these methods is the modified Air-Gap Torque (AGT) method, which only requires voltage and current data, the stator resistance value, and the mechanical losses. This paper approaches the computation of a modified stator resistance including the mechanical losses effect to be applied in the AGT method for torque and efficiency estimation of induction motors. Some improvements are proposed in the computation of this resistance by using a direct method, as well as the possibility to estimate this parameter directly from the nameplate data of the induction motor. The proposed methodology only relies on line voltages, currents, and nameplate data and is not intrusive. The proposed methodology is analyzed through simulation and validated through experimental results with three-phase induction motors. Also, a comparison of methods for in-service induction motors efficiency estimation is presented for the tested motors.

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Section: Air-gap Torque Methodsmentioning

confidence: 99%

Section: Modified Stator Resistance Estimation-"methods 1"mentioning

confidence: 99%

“…The fictitious values for voltages and currents are obtained from nameplate data and used in the simulation. Then, the modified stator resistance is estimated by using (21) and (22).…”

Section: Case 2: Alternative Estimation Of the Modified Stator Resistmentioning

confidence: 99%

“…A and K B are calculated by(21). R * s is computed by(22), considering mK A −1 and mK B −mean values of K A and K B from the last sample).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Comparison among Methods for Induction Motor Low-Intrusive Efficiency Evaluation Including a New AGT Approach with a Modified Stator Resistance

Salomon¹,

Sant’Ana

Lambert‐Torres³

et al. 2018

Energies

View full text Add to dashboard Cite

show abstract

“…A near state vector selection-based model predictive control (NSV-MPC) scheme was presented by Dadu et al [14] to mitigate the common mode voltage of a three-phase four-leg inverter and reduce the computational burden. In [15], the model predictive control was applied to induction machines. In [16], an improved finite-control-set model predictive control with reduced computational complexity and fast dynamic response was presented for cascaded H-bridge inverters.…”

Section: Introductionmentioning

confidence: 99%

A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems

Lin

Huang

et al. 2018

Energies

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For current control in power conversion and motor drive systems, there exist three classic methods in the literature and they are the hysteresis current control (HCC), the sine pulse-width modulation (SPWM), and the space vector pulse width modulation (SVPWM). HCC is easy to implement, but has relatively large current harmonic distortion as the disadvantage. On the other hand, the SPWM and SVPWM use modulation technique, commonly together with at least one proportional-integral (PI) regulator to reduce load current ripples, and hence demanding more computation time. This paper aims to improve the performance of a recently proposed new current control method-the single-voltage-vector model predictive current control (SVV-MPCC), for synchronous reluctance motor (SynRMs) drives. To that end, a dual-voltage-vector model-free predictive current control (DVV-MFPCC) for SynRMs is proposed. Unlike the SVV-MPCC that applies only a single voltage vector per sampling period, the proposed DVV-MFPCC is capable of providing two successive segmentary current predictions in the next sampling period through all possible combinations from any two candidate switching states increasing the number of applicable switching modes from seven to nineteen and reducing the prediction error effectively. Moreover, the new control does not utilize any parameters of the SynRM nor its mathematical model. The performance is effectively enhanced compared to that of SVV-MPCC. The working principle of the DVV-MFPCC will be detailed in this paper. Finally, the SVV-MPCC, the single-voltage-vector model-free predictive current control (SVV-MFPCC), the dual-voltage-vector model predictive current control (DVV-MPCC), and the DVV-MFPCC are realized to control the stator currents of SynRM through a 32-bit microcontroller TMS320F28377S. Experimental results are provided to validate the new method and verify that the DVV-MFPCC performs better than do the SVV-MPCC, the SVV-MFPCC, and the DVV-MPCC.

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A comparative dynamic analysis between model predictive torque control and field‐oriented torque control of IM drives for electric vehicles

Ahmed

Akl

Rashad

2021

Int Trans Electr Energ Syst

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This article compares two torque control methodologies, model predictive control (MPC), and field‐oriented control (FOC), for induction motor (IM) control over a wide speed range applied to an electric vehicle driving system (EVDS). The control technologies are designed and developed to control torque to achieve targeted traction according to vehicle specifications and the demands of the driver. For both control techniques, the specified electric vehicle (EV) is driven under and above base speed with stator flux control and field weakening control of the IM, respectively. In EVDS, the dynamic modeling of the power plants, that is, vehicle dynamics, Li‐ion battery, IM, and road forces, is considered. The dynamic behavior of the EVDS of a four‐passenger city EV is analyzed and evaluated with urban dynamometer driving schedule (UDDS) driving cycle. From simulations and performance appraisal, the comparison between FOC and MPC is investigated.

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Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control

Cited by 225 publications

References 32 publications

Comparison among Methods for Induction Motor Low-Intrusive Efficiency Evaluation Including a New AGT Approach with a Modified Stator Resistance

Comparison among Methods for Induction Motor Low-Intrusive Efficiency Evaluation Including a New AGT Approach with a Modified Stator Resistance

A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems

A comparative dynamic analysis between model predictive torque control and field‐oriented torque control of IM drives for electric vehicles

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