Nonlinear Estimation of Stator Currents in a Wound Rotor Synchronous Machine

Corne, Adrien; Yang, Nanfang; Martin, Jean‐Philippe; Nahid‐Mobarakeh, Babak; Pierfederici, Serge

doi:10.1109/tia.2018.2824765

Cited by 16 publications

(9 citation statements)

References 21 publications

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“…Parameter error is an issue that has been seen in previous research studying reduced current sensor WRSM drives [13]- [15]. Accurate on-line parameter estimation has previously been shown for a WRSM [17], indicating the potential for a drive system with state and parameter estimation.…”

Section: Model Error Compensationmentioning

confidence: 90%

“…Likewise, the WRSM has seen successful implementation of position sensorless [11], [12] and reduced current sensor [13]- [15] algorithms. Like the PMSM, the position sensorless studies have leveraged high frequency signal injections to estimate the position.…”

Section: Introductionmentioning

confidence: 99%

“…For the reduced current sensor studies, three major approaches have been taken. In [13], a nonlinear observer was designed using a Lyapunov function that used the electrical and mechanical parameters and was compared with an extended Kalman filter. In [14], a nonlinear Luenberger observer was designed using the flux maps of the machine.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Wound Rotor Synchronous Machine Current Estimation Using a Linear Luenberger Observer

Eull

Parker

Preindl

2022

2022 IEEE Transportation Electrification Conference &Amp; Expo (ITEC)

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Electrified transportation is a cornerstone of global decarbonization plans. However, high costs remain an obstacle. To address this, research has been undertaken to remove sensors and replace them with software. Simultaneously, with the volatility in pricing and supply of rare-earth magnets, alternatives to the permanent magnet synchronous machine are being sought. With fundamentally similar performance and the benefit of a controllable flux, the wound rotor synchronous machine is a promising alternative. This paper presents a linear Luenberger observer using the model incorporating rotor flux dynamics and nameplate parameters. It is shown that the wound rotor synchronous machine is observable with only one current sensor, either on the rotor or the stator. However, to overcome parameter error issues, a minimum of one current sensor on the rotor and one on the stator is deemed necessary to provide corrective integral feedback. Simulation results demonstrate that the designed observer can accurately estimate the rotor and stator currents in the presence of model error with the minimum sensor complement during transient and steady state operation.

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Section: Model Error Compensationmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Wound Rotor Synchronous Machine Current Estimation Using a Linear Luenberger Observer

Eull

Parker

Preindl

2022

2022 IEEE Transportation Electrification Conference &Amp; Expo (ITEC)

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show abstract

“…Observability of motor drives has previously been assessed in literature, though not in the same manner as what is studied herein. Indeed, the most comprehensive studies to date focused on the nonlinear system for both current [135] and position [136] estimation, where it was shown that the machine's currents or position and speed could be estimated under certain conditions. An equivalent assessment of observability for the linear time-invariant model of a PMSM is necessary to verify the feasibility of reduced sensor control.…”

Section: Observabilitymentioning

confidence: 99%

“…For a zero phase current sensor system to be feasible, a detailed machine model would be required [137] or a different estimation strategy; for example, a wound rotor synchronous machine and a DC field current sensor [135] or DC current sensors [138,139,140,141]. However, detailed modelling tends to only be viable in certain applications (e.g.…”

Section: Zero Phase Current Sensor Casementioning

confidence: 99%

Bidirectional Nonisolated Fast Charger Integrated in the Electric Vehicle Traction Drivetrain

Eull

Zhou

Jahnes

et al. 2022

IEEE Trans. Transp. Electrific.

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Electric vehicles present an opportunity to reduce the substantial global footprint of road transportation. Cost and range anxiety issues, however, remain major roadblocks to their widespread adoption. One of the simplest ways to reduce cost is to remove components from the vehicle via novel topologies, estimation and control; to reduce range anxiety, charging infrastructure needs to be simplified and the power electronics in the vehicle made more efficient. This thesis proposes a bidirectional non-isolated fast charger integrated in the traction drivetrain of an electric vehicle that is enabled by a modular power electronic converter topology called the autoconverter module. The autoconverter module is an evolution of previous modular power electronic concepts with the goal of a highly integrated, high performance converter capable of being used in a number of applications through simple parallelization. By simplifying system design through the use of one base power conversion block, overall system cost can be reduced.Key to the realization of the power module is state estimation. To enable high performance operation of the system, low noise state information must be provided to the controller. State estimation is capable of filtering measurement noise to achieve this goal. However, conventional estimation techniques typically have low bandwidth and a convergence time associated with them, limiting the overall control system's performance. Higher performance techniques, such as receding horizon estimation, offer near-instantaneous estimation with noise rejection capabilities,

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Current estimation of switched reluctance motor based on piecewise model and iteration calculation

Fang

Chen

Wang

et al. 2022

Circuit Theory & Apps

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To reduce the number of current sensors in the switched reluctance motor (SRM) system, a current estimation method of the SRM is proposed. There is only one current sensor needed to measure the sum of phase currents. Current estimation model consists of two equations, one is equation of the sum of phase currents and another is mechanical equation of the SRM. Torque, a variable in the mechanical equation, has complex nonlinear relation with phase currents. This makes it difficult to solve the current estimation model online.To deal with the problem, a piecewise modeling method is used to establish a simple analytical torque model. Accuracy of the established torque model is better than that of traditional torque models after comparisons. A parameter of speed and acceleration is defined to compensate errors of the torque model and avoid identifications of moment of inertia and friction coefficient. On the basis of features of the current estimation model and phase currents of the SRM, Newton's method is chosen to solve the current estimation model and a practical stop condition of iteration is given. Realization process of online computation is illustrated. Finally, the proposed current estimation method is validated by experiments.

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Nonlinear Estimation of Stator Currents in a Wound Rotor Synchronous Machine

Cited by 16 publications

References 21 publications

Wound Rotor Synchronous Machine Current Estimation Using a Linear Luenberger Observer

Wound Rotor Synchronous Machine Current Estimation Using a Linear Luenberger Observer

Bidirectional Nonisolated Fast Charger Integrated in the Electric Vehicle Traction Drivetrain

Current estimation of switched reluctance motor based on piecewise model and iteration calculation

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