Design, Analysis and Model Predictive Control of an Axial Field Switched-Flux Permanent Magnet Machine for Electric Vehicle/Hybrid Electric Vehicle Applications

Jing, Zhao; Quan, Xiaowei; Jing, Mengdie; Lin, Mingyao; Li, Nian

doi:10.3390/en11071859

Cited by 7 publications

(9 citation statements)

References 34 publications

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“…where R σ = R s + k 2 r R r , L σ = σL s , k r = L m /L r , σ = 1 − L 2 m /L s L r and T r = L r /R r . According to the forward Euler formula dx dt ≈ [x((k+1)T s )−x(kT s )] T s , the formula (1) and (6) can be discretized as follows:…”

Section: Mathematical Model Of Induction Motormentioning

confidence: 99%

“…Reference [3] validates that the Integral Proportional (IP) speed controller could reduce the overshoot of the system to a certain extent, but that it has insufficient setting efficiency and tracking response. According to Reference [4], the IP controller was used in the speed control of a permanent magnet synchronous motor, and the electromagnetic torque was used as the feedback compensation of the IP speed controller to improve the anti-disturbance ability of the load.With the increasing complexity of multi-phase motor systems and the development of microprocessors, more and more attention has been paid to Model Predictive Control (MPC) [5,6], which is mainly based on the calculation of future system behavior to calculate the optimal execution variables. MPC can be divided into continuous control set-model predictive control (CCS-MPC) [7] and finite control set-model predictive control (FCS-MPC) [8].…”

mentioning

confidence: 99%

“…With the increasing complexity of multi-phase motor systems and the development of microprocessors, more and more attention has been paid to Model Predictive Control (MPC) [5,6], which is mainly based on the calculation of future system behavior to calculate the optimal execution variables. MPC can be divided into continuous control set-model predictive control (CCS-MPC) [7] and finite control set-model predictive control (FCS-MPC) [8].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Three Vectors Model Predictive Torque Control Without Weighting Factor Based on Electromagnetic Torque Feedback Compensation

Jican

2019

Energies

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Finite control set-model predictive torque control (FCS-MPTC) depends on the system parameters and the weight coefficients setting. At the same time, since the actual load disturbance is unavoidable, the model parameters are not matched, and there is a torque tracking error. In traditional FCS-MPTC, the outer loop—that is, the speed loop—adopts a classic Proportional Integral (PI) controller, abbreviated as PI-MPTC. The pole placement of the PI controller is usually designed by a plunge-and-test, and it is difficult to achieve optimal dynamic performance and optimal suppression of concentrated disturbances at the same time. Aiming at squirrel cage induction motors, this paper first proposes an outer-loop F-ETFC-MPTC control strategy based on a feed-forward factor for electromagnetic torque feedback compensation (F-ETFC). The electromagnetic torque was imported to the input of the current regulator, which is used as the control input signal of feedback compensation of the speed loop; therefore, the capacity of an anti-load-torque-disturbance of the speed loop was improved. The given speed is quantified by a feed-forward factor into the input of the current regulator, which is used as the feed-forward adjustment control input of the speed controller to improve the dynamic response of the speed loop. The range of the feed-forward factor and feed-back compensation coefficient can be obtained according to the structural analysis of the system, which simplifies the process of parameter design adjustment. At the same time, the multi-objective optimization based on the sorting method replaces the single cost function in traditional control, so that the selection of the voltage vector works without the weight coefficient and can solve complicated calculation problems in traditional control. Finally, according to the relationship between the voltage vector and the switch state, the virtual six groups of three vector voltages can be adjusted in both the direction and amplitude, thereby effectively improving the control performance and reducing the flow rate and torque ripple. The experiment is based on the dSPACE platform, and experimental results verify the feasibility of the proposed F-ETFC-MPTC. Compared with traditional PI-MPTC, the feed-forward factor can effectively improve the stability time of the system by more than 10 percent, electromagnetic torque feedback compensation can improve the anti-load torque disturbance ability of the system by more than 60 percent, and the three-vector voltage method can effectively reduce the disturbance.

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Section: Mathematical Model Of Induction Motormentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Three Vectors Model Predictive Torque Control Without Weighting Factor Based on Electromagnetic Torque Feedback Compensation

Jican

2019

Energies

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“…Recent studies have investigated model predictive control (MPC) [15], [16], which is mainly based on the prediction of future system behavior to calculate the optimal execution variables. MPC can be classified into continuous control set MPC (CCS-MPC) [17] and finite control set MPC (FCS-MPC) [18].…”

Section: Introductionmentioning

confidence: 99%

Predictive Torque Control With Simple Duty-Ratio Regulator of PMSM for Minimizing Torque and Flux Ripples

2020

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In this paper, a new method for reducing the ripples of torque and flux is proposed for the predictive torque control (PTC) of permanent magnet synchronous motors. The conventional PTC uses equations to analyze the relationship between the electrical torque and voltage with a fixed magnitude of reference voltage. Consequently, flux and torque ripples increase significantly at low-speed operation. This paper proposes an improved PTC algorithm using a simple duty-ratio regulator. The proposed method will minimize the torque error by calculating an appropriate torque minimization function to mitigate the induced torque and flux ripple at low speed operation. This torque minimization function is synthesized into the space vector pulse-width modulation block to reduce the torque ripple induced owing to the fixed time duration. The proposed scheme considerably reduces the torque and flux ripples and establishes a fast-dynamic response of the torque in the transient state. Simulation and experimental results show that the proposed method achieves a more efficient steady-state performance and a faster step response compared with the conventional PTC.

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“…Moreover, in different methods, the value of similar coefficients may differ significantly from each other. This leads to discrepancies in the results of loss calculations in DCM when applying different methods [14][15][16].…”

mentioning

confidence: 99%

Model of pulsating current traction motor taking into consideration magnetic losses in steel

Goolak

Riabov

Tkachenko

et al. 2021

Electrical Engineering & Electromechanics

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The aim of the work is to develop a mathematical model of the traction motor of the pulsating current of an electric locomotive taking into account the magnetic losses in the motor steel to determine the starting parameters depending on the voltage of the armature winding. Methodology. Mathematical modeling of electromagnetic processes in a traction motor of pulsating current is applied taking into account the nonlinear nature of the armature inductance, the inductance of the excitation winding and the nonlinear nature of the universal magnetic characteristic. The magnetic losses in the steel of the traction motor were taken into account by establishing the dependence of these losses on the frequency of reversal, the magnetic flux in the magnetic circuit of the motor and the geometric dimensions of the motor. Results. The mathematical model of calculation of starting parameters of the traction engine of the pulsating current of the traction drive of the electric locomotive of alternating current taking into account the equation of instantaneous value of losses in engine steel is developed. The dynamic characteristics of the traction motor with pulsating current are obtained. It allows to investigate starting parameters of the traction engine on the basis of the received mathematical model and to design elements of the traction drive of the electric locomotive according to the specification, to choose optimum design parameters. Originality. For the first time a comprehensive study of the pulsating current traction motor was carried out taking into account the nonlinear nature of the armature inductance, excitation winding inductance and nonlinear nature of the universal magnetic characteristic and taking into account the magnetic losses in the motor steel. Practical significance. The model of the traction motor of pulsating current taking into account losses in steel of the engine on the basis of the carried-out calculation is developed. Experimental studies have confirmed the adequacy of the model, which allows to apply the obtained model to develop a mathematical model of an AC electric locomotive to study the electrodynamic processes in it at different modes of operation of the electric locomotive.

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Design, Analysis and Model Predictive Control of an Axial Field Switched-Flux Permanent Magnet Machine for Electric Vehicle/Hybrid Electric Vehicle Applications

Cited by 7 publications

References 34 publications

Three Vectors Model Predictive Torque Control Without Weighting Factor Based on Electromagnetic Torque Feedback Compensation

Three Vectors Model Predictive Torque Control Without Weighting Factor Based on Electromagnetic Torque Feedback Compensation

Predictive Torque Control With Simple Duty-Ratio Regulator of PMSM for Minimizing Torque and Flux Ripples

Model of pulsating current traction motor taking into consideration magnetic losses in steel

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