A Novel Approach to MTPA Tracking Control of AC Drives in Vehicle Propulsion Systems

Windisch, Thomas; Hofmann, W.

doi:10.1109/tvt.2018.2861083

Cited by 31 publications

(16 citation statements)

References 22 publications

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“…Thus, offline methods require a relatively large memory space and cannot fully consider the influence of the variation in motor parameters. The online methods include the searching method [8][9][10] , the signal injection method [11][12][13][14][15][16][17][18] , and the model-based method [19][20][21] . In Ref.…”

Section: Introduction1mentioning

confidence: 99%

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Accurate online MTPA control of IPMSM considering derivative terms

Yang¹,

Sun

Feng

et al. 2021

Chin. J. Electr. Eng.

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The conventional maximum torque per ampere (MTPA) operation usually neglects the derivative terms of interior permanent magnet synchronous motor (IPMSM) parameters, which significantly influences MTPA control accuracy. In this study, an MTPA control scheme that considers the derivative terms is developed, and a parameter identification strategy that considers the inverter to be non-ideal is developed for the calculation of the IPMSM parameters and derivative terms. In addition, the estimation accuracy of the motor parameters is further improved through the calibration of the nonlinear factors of the inverter. Finally, the effectiveness and accuracy of the proposed method is verified by simulation. This paper proposes practical methods for both inverter parameter estimation and accurate online MTPA control.

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Section: Introduction1mentioning

confidence: 99%

“…In Ref. [10], a discrete search method was proposed to realize MTPA tracking control by discretely manipulating the current angle. Signal injection-based methods [11][12][13][14][15] achieve MTPA control by adjusting the derivative of the torque with respect to the current angle to zero.…”

Section: Introduction1mentioning

confidence: 99%

Accurate online MTPA control of IPMSM considering derivative terms

Yang¹,

Sun

Feng

et al. 2021

Chin. J. Electr. Eng.

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show abstract

“…A N increasing number of applications of AC-distributed power systems have been made possible due to advances in semiconductor technologies and inverter topologies. These applications can be found in several new and emerging fields, including renewable energy generation [1], hybrid and electric vehicles [2], smart grids [3], electric aircrafts [4], and electric ships [5].…”

Section: Introductionmentioning

confidence: 99%

Hardware-in-the-Loop Methods for Stability Analysis of Multiple Parallel Inverters in Three-Phase AC Systems

Alenius¹,

Roinila

Luhtala

et al. 2021

IEEE J. Emerg. Sel. Topics Power Electron.

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Modern electric distribution systems typically contain several feedback-controlled parallel inverters that together form a complex power distribution system. Consequently, a number of issues related to stability arise due to interactions among multiple inverter subsystems. Recent studies have presented methods where the stability and other dynamic characteristics of a paralleled inverter system can be effectively analyzed using impedance measurements. This paper presents implementation techniques for a comprehensive online stability analysis of gridconnected paralleled inverters using power hardware-in-the-loop measurements based on an OPAL-RT real-time simulator. The analysis is based on simultaneous online measurements of current control loop gains of the inverters and the grid impedance, and aggregated terminal admittance measurements of the inverters. The analysis includes the measurement of the inverters' aggregated output impedance, inverters' loop gains, global minor loop gain, and grid impedance. The presented methods make it possible to rapidly evaluate the system on both global and local level in real time, thereby providing means for online stability monitoring or adaptive control of such systems. Experimental measurements are shown from a high-power energy distribution system recently developed at DNV GL,

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“…However, those rotor-related parameter values detected in the particular environment or conditions (e.g., standstill cases) do not always represent the real-time values during operations. For instance, the mutual and rotor self-inductances might change when the magnetic saturation phenomenon occurs and when the relative location between the rotor and stator flux is different [21]. Unluckily, once the parameter values are not consistent with the real ones, there will be static errors during control, and even worse, the system might become unstable [22].…”

Section: Introductionmentioning

confidence: 99%

Low-Switching-Loss Finite Control Set Model Predictive Current Control for IMs Considering Rotor-Related Inductance Mismatch

Tan

et al. 2020

IEEE Access

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This paper develops a high-performance finite control set model predictive current control (FCS-MPCC) method for induction motors (IM) to ensure the system control performance over the lowswitching-frequency (LSF) range, where the switching loss is low. The new controller is based on tripartite calculations in each control period and sliding mode (SM) rotor-related inductance observer. In detail, firstly, to solve the problem that the control performance of the traditional FCS-MPCC methods is low when they are used at low frequencies, tripartite calculations are employed in each control period to improve the prediction accuracy. By dividing one control period into three equal parts and executing the prediction algorithm in each subsection, the current estimation errors become lower compared to the conventional single-step Euler-discretization controller. Then, considering that the performance of an FCS-MPCC controller highly relies on the machine parameter values, but it is hard to directly obtain the accurate rotor-related inductances (mutual inductance and rotor inductance), this paper uses an online parameter observer based on the sliding mode (SM) principle to diagnose them in real time. It needs to be mentioned that when discussing the stability of the sigmoid-function-based SM observer, a new technique called estimation-error-limitation is initially adopted in this paper to simplify the analysis process. Finally, the proposed algorithms are verified by simulation, which is conducted on a three-phase IM at LSF situations. INDEX TERMS Induction motor, finite control set model predictive control, sliding mode observer, parameter mismatch, low switching frequency.

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A Novel Approach to MTPA Tracking Control of AC Drives in Vehicle Propulsion Systems

Cited by 31 publications

References 22 publications

Accurate online MTPA control of IPMSM considering derivative terms

Accurate online MTPA control of IPMSM considering derivative terms

Hardware-in-the-Loop Methods for Stability Analysis of Multiple Parallel Inverters in Three-Phase AC Systems

Low-Switching-Loss Finite Control Set Model Predictive Current Control for IMs Considering Rotor-Related Inductance Mismatch

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