per Iranian Research Institute for Electrical Engineeringفصلنامه مهندسی برق و مهندسی کامپيوتر ايران16823745168237452025-07231119articleAbbas Darvishiabbas.darvishi2018@gmail.com1Seyed Mohsen Seyed Moosavim.moosavi@srbiau.ac.ir2Behzad Moshirimoshiri@ut.ac.ir3Faculty of Elec. Eng., Ahvaz Branch, Islamic Azad University, Ahvaz, IranFaculty of Elec. Eng., Ahvaz Branch, Islamic Azad University, Ahvaz, IranSchool of Elec. and Comp. Eng., University of Tehran, Tehran, Iran<p style="direction: ltr;">This paper investigates the identification of inter-turn short-circuit fault severity in a 3-kilowatt permanent magnet synchronous motor using a decision tree and a deep Bayesian neural network. The primary dataset includes three-phase current signals under both healthy and faulty conditions, covering six fault severity levels. A preprocessing stage is conducted to analyze the data in time and frequency domains using discrete wavelet transform and power spectral density analysis. To reduce the dimensionality of the feature space, statistical indicators such as mean, standard deviation, kurtosis, and skewness are initially extracted. Kernel principal component analysis is then employed to identify the most salient features. A decision tree algorithm is trained to detect motor fault conditions. Finally, a deep Bayesian neural network is applied to classify the severity of the inter-turn short-circuit fault. The proposed algorithm&rsquo;s performance is evaluated in terms of accuracy, precision, recall, and F1-score, considering varying numbers of selected dominant features.</p>http://ijece.org/Article/48038Inter-turn short-circuit permanent magnet synchronous motor feature extraction feature selection decision tree Bayesian neural network.per Iranian Research Institute for Electrical Engineeringفصلنامه مهندسی برق و مهندسی کامپيوتر ايران16823745168237452025-072312032articleMostafa ZamaniM.Zamani6363@Gmail.com1Arash Dehestani Kolagara_dehestani@mut.ac.ir2Mahdi MossayebiMosayebi@mut.ac.ir3Mohammad Reza Alizadeh Pahlavanimr_alizadehp@mut.ac.ir4Faculty of Elec. and Com. Eng., Malek Ashtar University of Technology, Tehran,Faculty of Electrical & Computer Engineering, Malek Ashtar University of Technology, IranFaculty of Elec. and Com. Eng., Malek Ashtar University of Technology, Tehran,Faculty of Elec. and Com. Eng., Malek Ashtar University of Technology, Tehran,<p style="direction: ltr;">AC/DC microgrids of modern vessels have undergone significant changes due to the increase of high-power loads and the development of energy storage systems. In this paper, the extracted microgrid model is the main model developed in the dq reference frame, and the simulation results show the dynamic effect caused by any instability between the AC and DC subsystems of the microgrid. Thus, according to the results of the simulations, the microgrid AC/DC subsystems will have different transient characteristics in case of disturbances such as short circuit, switching of high-power loads, and occurrence of electric arc, which lead to the instability of the microgrid. The ability of the microgrid to maintain stability largely depends on the damping of electromechanical oscillations by the controllers in the AC/DC microgrid, which makes the study and design of these controllers very important. In order to attenuate the transient states of the DC subsystem, the PI closed-loop controller is used in the energy storage system to control the duty cycle of the IGBT switches in the DC/DC converter. The results show that with the appropriate design of the controller of the energy storage system, the transient states in the DC subsystem, in case of instabilities caused by the load pulse changes, are significantly reduced and attenuate the transient states of the microgrid. In this article, the second Lyapunov method is used to evaluate the stability of AC/DC microgrid.</p>http://ijece.org/Article/49015Disturbance resulting from load switching microgrid stability pulsed load switching microgrid dynamic modeling.per Iranian Research Institute for Electrical Engineeringفصلنامه مهندسی برق و مهندسی کامپيوتر ايران16823745168237452025-072313346articleSaeed Navabisaeed.zz1956@gmail.com1Mahdi Mosayebimmahdimosayebi@gmail.com2Mohammad Reza Alizadeh Pahlavanimr_alizadehp@mut.ac.ir3Arash Dehestani Kolagara_dehestani@mut.ac.ir4Faculty of Elec. and Com. Eng., Malek Ashtar University of Technology, Tehran,Faculty of Elec. and Com. Eng., Malek Ashtar University of Technology, Tehran,Faculty of Elec. and Com. Eng., Malek Ashtar University of Technology, Tehran,Faculty of Elec. and Com. Eng., Malek Ashtar University of Technology, Tehran,<p style="direction: ltr;">In this paper, a distributed control structure for power management in a shipboard power system (SPS) with nonlinear DC voltage is presented. The distributed control architecture has the advantages of lower computational burden, high flexibility, and good fault tolerance. In this topology, each subsystem is controlled by a model predictive controller using local state variables and parameters as well as interactive variables from other subsystems that are shared through a coordinator. At the master coordinator level, an optimization problem is solved iteratively to achieve the minimum error in the output voltage and the optimal state. The effectiveness of the proposed distributed control structure is demonstrated for the auxiliary power generation section of the shipboard power system, which is related to the DC-DC converter section used as the energy storage module. The correct performance is demonstrated by simulation results, and performance analysis in comparison with other converter control methods, such as proportional control, considering the system characteristics is also shown in the results comparison section.</p>http://ijece.org/Article/48160Power management shipboard power system distributed predictive control energy storage.per Iranian Research Institute for Electrical Engineeringفصلنامه مهندسی برق و مهندسی کامپيوتر ايران16823745168237452025-072314757articleSaeed Zerganisaeedzergani1351@gmail.com1Nasser Erfanimajdnasser.erfanimajd@gmail.com2Dept. of Elec. Eng. Shohadaye Hoveiyzeh Campus of Technology, Shahid Chamran University of Ahvaz, Ahvaz, IranDept. of Elec. Eng. Shohadaye Hoveiyzeh Campus of Technology, Shahid Chamran University of Ahvaz, Ahvaz, Iran<p style="direction: ltr;">In this paper, the design of an adaptive neuro-fuzzy sensorless controller for a permanent magnet synchronous motor is proposed. The proposed controller includes a fuzzy logic controller part and a radial basis function neural network parameter adjuster adapted to changes in the system operating conditions. In other words, the proposed controller can adjust itself based on the system operating conditions and lead to an optimal response for the system. For sensorless control of a permanent magnet synchronous motor, a sliding mode observer and a phase-locked loop are used in an integrated manner to allow estimation of the rotor position and speed. In order to eliminate the error of the estimator and also the phase-locked loop at the beginning of the rotor operation, an I-f control strategy is used. This strategy will cause a smooth transition of torque-speed from the startup stage to the sensorless control stage. To demonstrate the effectiveness of the proposed control strategy, a simulation of a permanent magnet synchronous motor in the presence of the proposed controller was performed in the MATLAB software environment and its results were analyzed.</p>http://ijece.org/Article/47690Permanent magnet synchronous motor adaptive neuro-fuzzy controller sensorless field oriented control phase-locked loop. per Iranian Research Institute for Electrical Engineeringفصلنامه مهندسی برق و مهندسی کامپيوتر ايران16823745168237452025-072315868articleS. Akbarishadi.akbari2826@gmail.com1M. Monajatim.monajati@gmail.com2Dept. of Elec. and Comp. Eng., Graduate University of Advanced Technology, Kerman, IranDept. of Elec. and Comp. Eng., Graduate University of Advanced Technology, Kerman, Iran<p style="direction: ltr;">This paper presents the design and simulation of a phase-locked loop (PLL) with a center frequency of 2.45 GHz, implemented using 0.18 &micro;m CMOS technology and HSPICE simulation tools. The proposed PLL architecture comprises key components including a phase detector, charge pump, low-pass filter, voltage-controlled oscillator, and frequency divider. Circuit parameters were meticulously optimized through extensive simulations to ensure high performance. Results demonstrate stable and precise operation, with a power consumption below 13.56 mW, a lock time of approximately 16 reference cycles, and a phase noise of &minus;115 dBc/Hz at 1 MHz offset. Owing to its low power usage and robust stability, the design is well-suited for applications such as ADSL modems, Wi-Fi communication systems, and portable electronic devices.</p>http://ijece.org/Article/49075Frequency divider phase-locked loop lock time frequency synthesizer ADSL modem voltage-controlled oscillator phase noiseper Iranian Research Institute for Electrical Engineeringفصلنامه مهندسی برق و مهندسی کامپيوتر ايران16823745168237452025-072316977articleDavood Malekid.maleki1391@gmail.com1Abolfazl Halvaei Niasarhalvaei@kashanu.ac.ir2Dept. of Elec. and Comp. Eng., University of Kashan, Kashan, IranDept. of Elec. and Comp. Eng., University of Kashan, Kashan, Iran<p style="direction: ltr;">The use of multiphase Permanent Magnet Synchronous Motors (PMSMs) has gained significant attention due to advantages such as high power density and high efficiency in various applications where achieving maximum reliability is a fundamental design objective. This paper focuses on the control of an asymmetric six-phase PMSM, where, to enhance drive reliability, each stator phase consists of two separate winding segments physically aligned and symmetrically positioned relative to the stator center point. The control and power section of each phase is fully modular and independent of the control and power sections of other phases, with each of the two single-phase windings supplied by an independent single-phase H-bridge inverter.&nbsp; Given the non-sinusoidal back-EMF of the phases and to reduce torque ripple, an optimal harmonic current injection method is employed along with quasi-proportional-resonant current controllers. Furthermore, in the event of a fault and the loss of two windings, a fault-tolerant control algorithm based on the elimination of the second harmonic of the electromagnetic torque is utilized. The effectiveness of the proposed control methods is validated through simulations in Simulink software.&nbsp;</p>http://ijece.org/Article/48794Drive asymmetric six-phase PMSM H-bridge inverter quasi-proportional-resonant controller torque ripple.