A Comparative Study Between Direct Torque Control and Predictive Torque Control for Axial Flux Permanent Magnet Synchronous Machines

Siami, Mohsen; Gholamian, S. Asghar; Yousefi, M.

doi:10.2478/jee-2013-0052

Cited by 17 publications

(8 citation statements)

References 21 publications

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“…To improve system efficiency, reference flux values based on permanent magnet flux and load torque must be calculated, while keeping changes in reference flux due to torque conditions to a minimum. The following formula can be used to calculate the reference flux value: [2], [30]. The motor reference flux is calculated using (24) (0.196 Wb).…”

Section: Simulation and Experimental Resultsmentioning

confidence: 99%

Direct torque control of non-salient pole AFPMSMs with SVPWM inverter

Hassan

Rohieem

Saleh

2022

IJPEDS

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Axial flux motors use less material and thus are inherently less expensive. They can also deliver a high-power density, which is four times that of a radial flux motor. That makes studying the control methods for this motor necessary. The purpose of this study is to introduce a new dynamic and steady-state response control technique for axial flux permanent magnet synchronous motors (AFPMSMs). Dynamic equations describe the control characteristics of axial flux permanent magnet motors. The AFPMSM model and the space vector pulse width modulation (SVPWM) inverter were created using MATLAB Simulink. For the AFPMSM motor with an SVPWM inverter, direct torque control (DTC) is provided. The results of the proposed control technique are simulated and analyzed, and it is found to provide good performance. According to the results, the proposed control method reveals advantages in reducing the ripples and pulsating of the torque while enhancing speed dynamic and steady-state response.

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Section: Simulation and Experimental Resultsmentioning

confidence: 99%

Direct torque control of non-salient pole AFPMSMs with SVPWM inverter

Hassan

Rohieem

Saleh

2022

IJPEDS

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“…The speed of three-phase AC electric motors can be adjusted using DTC in variable-frequency drives. Voltage and current measurements on the electric motor can yield an approximation of the magnetic flux and torque 21 , 22 . where , P , , where , , , …”

Section: Direct Torque Control (Dtc)mentioning

confidence: 99%

Sensorless based SVPWM-DTC of AFPMSM for electric vehicles

Saleh

Hassan

2022

Sci Rep

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AFPMSM is lighter, has a higher power-to-weight ratio, is shorter in length, is less expensive, and has a higher efficiency than the radial flux motor. Then AFPMSM is more suitable for driving the EV than radial flux motor. The proposed technique in this paper is the sensorless-based SVPWM-DTC of AFPMSM to drive electric vehicles. Sensorless research becomes more important in this circumstance since the axial motor can be placed inside the vehicle tire due to its condensed size and shape similar to the tires. DTC provides less fluctuation for the driver during driving for safety and comfort. SVPWM is preferred for its high performance. When measuring speed using a sensorless estimator, sensor inaccuracy is minimized, and the AFPMS motor can be mounted inside the tire. The control system is tested using two EVs driving cycles, and the results promise high performance. NEDC and HWFET driving cycles are used to test the proposed control scheme in 100 times less than the actual driving cycles’ time to test the coherence of the sensorless estimator. The results demonstrate that the proposed technique is valid for real-time applications with high-performance, minimum torque fluctuations, and minimum transient and steady-state errors.

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“…The CF is an evaluation criterion that defines the relative error between the predicted absolute values of control variables and their corresponding reference values. This predictive method of optimizing the switching states using the CF without employing any hysteresis modulators and intermediate modulation stage is termed as Finite Control Set–Model Predictive Control (FCS-MPC) method (Ortes et al, 2008; Siami et al, 2013; Vazquez et al, 2014). The FCS-MPC method selects only one switching state out of 27 possible MC switching states for the next control interval at a particular instant as similar to DTC.…”

Section: Introductionmentioning

confidence: 99%

A computationally efficient torque and flux ripple reduction by active vector optimization approach using direct torque control–based model predictive torque control for matrix converter–fed permanent magnet synchronous motor

Anunciya

Sivaprakasam

2022

Transactions of the Institute of Measurement and Control

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The Matrix Converter–fed Finite Control Set–Model Predictive Control is an efficient drive control approach that exhibits numerous advantageous features. However, it is computationally expensive as it employs all the available matrix converter voltage vectors for the prediction and estimation. The computational complexity increases further with respect to the inclusion of additional control objectives in the cost function which degrades the potentiality of this technique. This paper proposes two computationally effective switching tables for simplifying the calculation process and optimizing the matrix converter active prediction vectors. Here, three prediction active vectors are selected out of 18 vectors by considering the torque and flux errors of the permanent magnet synchronous motor. In addition, the voltage vector location segments are modified into 12 sectors to boost the torque dynamic control. The performance superiority of the proposed concept is analyzed using the MATLAB/Simulink software and the real-time validation is conducted by implementing in the real-time OPAL-RT lab setup.

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A Comparative Study Between Direct Torque Control and Predictive Torque Control for Axial Flux Permanent Magnet Synchronous Machines

Cited by 17 publications

References 21 publications

Direct torque control of non-salient pole AFPMSMs with SVPWM inverter

Direct torque control of non-salient pole AFPMSMs with SVPWM inverter

Sensorless based SVPWM-DTC of AFPMSM for electric vehicles

A computationally efficient torque and flux ripple reduction by active vector optimization approach using direct torque control–based model predictive torque control for matrix converter–fed permanent magnet synchronous motor

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