Arash Dehestani Kolagar Articles List

List of Articles Arash Dehestani Kolagar

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1 - Model Predictive Control of Permanent Magnet Synchronous Machine Based on Finite and Continuous Control Sets in Two Functional Quarters
ehsan ghasemi madani Mohammad Reza Alizadeh Pahlavani Arash Dehestani Kolagar
20.1001.1.16823745.1401.20.1.9.3

In this paper, two schemes of model predictive control (MPC) method, named finite control set model predictive control (FCS-MPC) and dead-beat model predictive control (DB-MPC) as a continuous control set model predictive control (CCS-MPC) are applied and compared to co More

In this paper, two schemes of model predictive control (MPC) method, named finite control set model predictive control (FCS-MPC) and dead-beat model predictive control (DB-MPC) as a continuous control set model predictive control (CCS-MPC) are applied and compared to control the current of a permanent magnet synchronous machine in energy recovery mode for the use of electric vehicles. The FCS-MPC strategy selects the optimal voltage vector and applies the control pulses directly to the inverter without using any modulators. In other side, DB-MPC is implemented through space vector pulse width modulation (SVPWM). The performance and results of both types of control strategies are extracted and compared using MATLAB Simulink software. The comparisons are made mainly in steady state and transient modes. Both control strategies are applied to a permanent magnet synchronous machine with the same parameters and with the same operating mode. The results show that the current steady state fluctuation is further reduced in the DB-MPC strategy and the transient state response is faster in the FCS-MPC strategy. Manuscript profile
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2 - Sub-Region Analytical Modeling of the Outer-Rotor Surface-Mounted Permanent Magnet Synchronous Machine
Armin Solhroshan Mohammad Reza Alizadeh Pahlavani Arash Dehestani Kolagar
20.1001.1.16823745.1400.19.4.3.6

In this paper, the sub-region method is used to analyze the outer-rotor permanent magnet synchronous machine. In this method, based on hypotheses such as geometry, electrical and magnetic characteristics, the machine is divided into four sub-regions of groove, groove op More

In this paper, the sub-region method is used to analyze the outer-rotor permanent magnet synchronous machine. In this method, based on hypotheses such as geometry, electrical and magnetic characteristics, the machine is divided into four sub-regions of groove, groove opening, air gap and magnet. Based on Maxwell's equations and considered assumptions, the governing partial differential equations for each sub-region are presented and solved analytically. In this paper, after calculating the air-gap flux density caused by the armature winding current and magnets with three patterns of radial, parallel and Halbach magnetization, the other main quantities of the machine are calculated accordingly. To validate the analytical model, the results obtained from MATLAB software are compared with the values obtained from the finite element method. Manuscript profile
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3 - Finite-Control-Set Model Predictive Control of an Active Front-End Rectifier with Dynamic References and Comparison with MPDPC Method
Ayyoub Keshvari Mohammad Reza Alizadeh Pahlavani Arash Dehestani Kolagar
20.1001.1.16823745.1402.21.1.6.7

In this paper, a finite-control-set model predictive control method is presented for closed loop control of an active front-end rectifier. The method used has a discrete-time function and does not require any additional modulators. The interesting point in the control a More

In this paper, a finite-control-set model predictive control method is presented for closed loop control of an active front-end rectifier. The method used has a discrete-time function and does not require any additional modulators. The interesting point in the control algorithm is how to control the dynamic references. The control strategy is able to provide proper references for source active power and DC voltage, without the need for additional control loops. In order to better understand the performance, the proposed control method is compared with the model predictive direct power control (MPDPC) method. The results obtained using Matlab/Simulink software show that the proposed method, while having all the capabilities of the MPDPC method, including proper tracking of active power and DC voltage and low current THD, by removing the PI controller and its related disadvantages, it has better stability and faster transient response. Manuscript profile
Open Access Article
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4 - Identification of Transfer Function Parameters of Brushless DC Motor Using Particle Swarm Algorithm
Ahmad Shirzadi Arash Dehestani Kolagar Mohammad Reza Alizadeh Pahlavani
20.1001.1.16823745.1402.21.2.6.9

So far, comprehensive and extensive studies have been conducted on the brushless DC motor (BLDC), and a part of these studies focuses on the estimation of the parameters of the transfer function of this motor. Estimation of BLDC motor transfer function parameters is ess More

So far, comprehensive and extensive studies have been conducted on the brushless DC motor (BLDC), and a part of these studies focuses on the estimation of the parameters of the transfer function of this motor. Estimation of BLDC motor transfer function parameters is essential to study motor performance and predict its behavior. Therefore, an efficient, accurate and reliable parameter estimation method is needed. In this article, the problem of estimating the parameters of the transfer function of the inverter-fed BLDC motor set has been solved using particle swarm algorithms (PSO). The results of using this algorithm have been compared with the results of other optimization algorithms. The comparison of these results has shown that the PSO algorithm is an efficient, accurate and reliable method for solving the transfer function parameter estimation problem. Manuscript profile
Open Access Article
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5 - Multi-Objective Predictive Control of Two-Motor Drive System with Five-Leg Inverter
Reza Mohammadi Nik Mohammad Reza Alizadeh Pahlavani Arash Dehestani Kolagar

Dual-motor drive systems have been widely favored due to many advantages, including reduced dimensions and cost. In this paper, a model-based predictive control (MPC) method for a dual-motor drive system fed by a five-leg inverter (FLI) is introduced. Among the advantag More

Dual-motor drive systems have been widely favored due to many advantages, including reduced dimensions and cost. In this paper, a model-based predictive control (MPC) method for a dual-motor drive system fed by a five-leg inverter (FLI) is introduced. Among the advantages of the MPC method, the independent and fast tracking of reference control variables and the elimination of cascade control structures dependent on the modulator for multi-motor systems can be mentioned. PI loops have disadvantages such as delayed time response, as well as design limitations of PI coefficients due to the FLI structure. In this paper, using the predictive control method based on the multi-objective model proportional to speed and current (MOMPC), the PI control loops have been removed. One of the challenges of this structure is how to allocate the DC link voltage to the motors. For this purpose, by defining the duty cycle corresponding to the steady-state voltage of the motors, the DC link voltage of the inverter is shared between the motors. In addition, by using this method, the control objectives of two motors become independent from each other, which reduce the torque ripple and current ripple of the motors. Manuscript profile

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List of Articles Arash Dehestani Kolagar