@article{ author = {Atashbar, Mahmoud and Pasangi, Paris}, title = {A New Blind Downlink Channel Estimation Method for Massive MIMO}, abstract ={Downlink channel estimation of Massive MIMO is an important challenge is 5G wireless communication.  A classic method for this purpose is training-based method which leads to decreasing in transmitted information rate. To cope with this problem, recently, a blind channel estimation method has been presented in which by assuming that the value of large scale fading coefficient is known, the channel gain is estimated in multiuser Massive MIMO system. In this paper, we propose a new method that simultaneously estimates both channel gain and large scale fading coefficient by applying two different power control gain in the coherence interval. The proposed method is applicable for ZF and MR precoding. The proposed method has higher transmitted information rate (does not need to transmit the large scale fading coefficient) and lower MSE in high SNR values with respect to reference method.}, Keywords = {Channel gain, Channel estimation, Massive Multiple Input Multiple Output.}, volume = {5}, Number = {1}, pages = {4-21}, publisher = {Sahand University of Technology}, url = {http://journals.sut.ac.ir/jnsee/article-1-171-en.html}, eprint = {http://journals.sut.ac.ir/jnsee/article-1-171-en.pdf}, journal = {Journal of Nonlinear Systems in Electrical Engineering}, issn = {2322-3146}, eissn = {2322-3146}, year = {2019} } @article{ author = {Amiri, Karim and Kazemzadeh, Rasool}, title = {Two-stage estimation method presentation to improve electrical distribution networks state estimation}, abstract ={The development of renewable energy sources, distributed generation, energy storage and nonlinear controllable loads in modern distribution networks has led to the consideration of the state estimation in intelligent and active distribution networks. The performance of the Energy Management Central's distribution network depends on the results of the state estimation. In this paper, two-stage estimation with the network reduction process is proposed. The number of distribution network meter is low, so obtaining accurate initial information from network conditions improves performance state estimation. The initial state estimation with the network reduction process to obtain accurate initial data is performed. The initial data are used as a measure to improve the performance of secondary estimation. This method solves the problem of scarcity of accurate measurements and improves the accuracy of the state estimation in distribution network. The results of the proposed methodology are demonstrated on the 69 nodes of IEEE  standard distribution network.}, Keywords = {state estimation of electrical distribution network, Weighted least square error, Synchronize Measurement, Pseudo Measurement, two stage method.}, volume = {5}, Number = {1}, pages = {22-38}, publisher = {Sahand University of Technology}, url = {http://journals.sut.ac.ir/jnsee/article-1-155-en.html}, eprint = {http://journals.sut.ac.ir/jnsee/article-1-155-en.pdf}, journal = {Journal of Nonlinear Systems in Electrical Engineering}, issn = {2322-3146}, eissn = {2322-3146}, year = {2019} } @article{ author = {Taghizadegankalantari, navid and qabeli, sajj}, title = {A novel bridgeless ac-dc buck-boost converter fed brushless dc motors drive}, abstract ={In this paper, a novel structure based on Bridgeless AC/DC Converters for BLDC Motor is proposed. For now, to drive this kind of dc motors, step down and step up converters and converters with capability of increase and decrease in output voltage with bridgeless diode structures are presented. In this paper by using a novel structure, this possibility is provided to have a converter that can work in desired and separate states such as buck, boost or buck boost operations. In this paper focus will be upon buck-boost operation to access appropriate usage of both decrease and increase at output voltage advantages. Also this converter would not need to a diode bridge at primary of circuit. At output of this converter only a dc-link capacitor exists, that it will decrease the need of electrolytic capacitors that result to decreased circuit volume and cost. Removing of input diode bridge and input dc-link capacitor has caused to a better quality of input current waveforms. As well as, power factor for input power supply of this converter will work near to unit amounts.}, Keywords = {AC/DC Converter, bridgeless converters, buck converter, boost converter, buck-boost converter. }, volume = {5}, Number = {1}, pages = {39-61}, publisher = {Sahand University of Technology}, url = {http://journals.sut.ac.ir/jnsee/article-1-160-en.html}, eprint = {http://journals.sut.ac.ir/jnsee/article-1-160-en.pdf}, journal = {Journal of Nonlinear Systems in Electrical Engineering}, issn = {2322-3146}, eissn = {2322-3146}, year = {2019} } @article{ author = {Ghaemi, Ali and Banaei, MohamadReza and Safari, Ami}, title = {An Electrolytic Capacitor-less High Power Factor LED Driver with Pulsating Output Current}, abstract ={Conventional Off-Line (50-60Hz) light emitting diode (LED) drivers usually need an electrolytic capacitor to reduce power imbalance between ac input and dc output, and to decrease the low-frequency component of the output ripple. However, electrolytic capacitor is the key component which limits the lifespan of LED driver. If a driver uses a pulsating output current, the electrolytic capacitor can be omitted. This paper proposes a high power factor LED driver with high frequency pulsating driving current, in which electrolytic capacitor has omitted from the topology. The driver has two outputs that allow the number of driving LEDs to increase, an LED string will be connected to each output and a single switch is used in series with each LED string, thus the number of switches is equal to the number of outputs. Output and Storage capacitor voltages are sensed and used to implement the control method to regulate the output current. Low cost and high efficiency can be obtained due to the power structure and the proposed control method. Simulations, calculations and experimental results are provided for the proposed circuit.}, Keywords = {LED,driver,electrolytic capacitor,pulsating current}, volume = {5}, Number = {1}, pages = {62-82}, publisher = {Sahand University of Technology}, url = {http://journals.sut.ac.ir/jnsee/article-1-183-en.html}, eprint = {http://journals.sut.ac.ir/jnsee/article-1-183-en.pdf}, journal = {Journal of Nonlinear Systems in Electrical Engineering}, issn = {2322-3146}, eissn = {2322-3146}, year = {2019} } @article{ author = {shamsafar, faranak and ebrahimnezhad, hossei}, title = {Three-Dimensional Human Pose Estimation from a Single Image Using Non-linear Convolutional Neural Network Based on Shape Information}, abstract ={3D human pose estimation is one of the most significant tasks in computer vision with wide range of applications. The works for estimating human pose initialized from 2D skeletal estimation from multiple data and has proceeded toward 3D skeletal estimation from minimum input information. In this paper, 3D human pose estimation from a single RGB image is investigated. The proposed work is considered as the ones which firstly estimate 2D pose and then lift the estimated 2D configuration to 3D space. Since most of the errors in this attitude are originated by inaccurate 2D pose inference, we have proposed a method for predicting more accurate 2D poses to obtain 3D poses with less errors. The proposed approach for estimating 2D pose has leveraged deep learning along with the information of the edge map. In other words, we have made use of edge features, which are hand-designed features, in order to guide the deep neural network in training and in learning the features in accordance with the defined objective. Experimental results have demonstrated less errors in 2D and consequently 3D pose estimation in Human3.6M and HumanEva-I benchmarks.}, Keywords = {Human pose estimation, Deep learning, Convolutional neural networks, Edge map}, volume = {5}, Number = {1}, pages = {83-103}, publisher = {Sahand University of Technology}, url = {http://journals.sut.ac.ir/jnsee/article-1-179-en.html}, eprint = {http://journals.sut.ac.ir/jnsee/article-1-179-en.pdf}, journal = {Journal of Nonlinear Systems in Electrical Engineering}, issn = {2322-3146}, eissn = {2322-3146}, year = {2019} } @article{ author = {Baghelani, Masou}, title = {Study of the Nonlinear Effects of Squeeze Film Damping RF MEMS Ring Resonators}, abstract ={Abstract:This paper presents an analytical study of the nonlinear effect of squeeze film damping on the previously designed ring shape anchored contour mode RF MEMS disk resonators. Varations of damping coefficient and stiffness constant of the resonator due to squeeze film phenomenon are evaluated and their efects on quality factor of the resonator is calculated. Analytical calculations mention that due to ultra high spring constant of the resonator, resulting frequency pulling and damping related to this effect could be neglected. Based on these derivations, there is no requirement for high price vacuum packaging for these resonators for increasing their quality factor. Extracting of the behavioral equations for the resonator in the presence of squeeze film effect is crucial in design of resonators in packaging, fabrication process and total cost points of view.}, Keywords = {RF MEMS, RSACMDR, resonator, squeeze film, packaging, Nonlinear vibration equation}, volume = {5}, Number = {1}, pages = {104-114}, publisher = {Sahand University of Technology}, url = {http://journals.sut.ac.ir/jnsee/article-1-162-en.html}, eprint = {http://journals.sut.ac.ir/jnsee/article-1-162-en.pdf}, journal = {Journal of Nonlinear Systems in Electrical Engineering}, issn = {2322-3146}, eissn = {2322-3146}, year = {2019} } @article{ author = {Delavari, Hadi and rashidnejadheydari, seyede zahr}, title = {Fractional order Adaptive Terminal Sliding Mode Controller Design for MPPT in a Solar Cell under Normal and Partial Shading Condition}, abstract ={In this paper, by combining fractional calculus and sliding mode control theory, a new fractional order adaptive terminal sliding mode controller is proposed for the maximum power point tracking in a solar cell. To find the maximum power point, the incremental conductance method has been used. First, a fractional order terminal sliding mode controller is designed in which the control law depends on knowing the upper bound of uncertainty in the system, but in practical application it is difficult or in some cases impossible to calculate this upper limit. In this paper, an adaptive law is given for online calculating of this parameter. The stability proof of the sliding surface, as well as the proof of finite time convergence of closed-loop system, are investigated using the Lyapunov theory. Finally, the performance of the proposed controller is evaluated both in normal and partial shading conditions. For a better comparison of the proposed controller, the performance of this controller is compared in the presence of load variations and the variations of system parameters with the conventional (integer order) terminal sliding mode control.}, Keywords = {solar cell, fractional calculus, maximum power point tracking, incremental guidance method, fractional order terminal sliding mode controller, partial shading condition}, volume = {5}, Number = {2}, pages = {4-22}, publisher = {Sahand University of Technology}, url = {http://journals.sut.ac.ir/jnsee/article-1-174-en.html}, eprint = {http://journals.sut.ac.ir/jnsee/article-1-174-en.pdf}, journal = {Journal of Nonlinear Systems in Electrical Engineering}, issn = {2322-3146}, eissn = {2322-3146}, year = {2019} } @article{ author = {Shojaedini, seyed Vahab and Goldar, Alirez}, title = {Target Detection in Bistatic Passive Radars by Using Adaptive Processing Based on Correntropy Cost Function}, abstract ={In this paper a novel method is introduced for target detection in bistatic passive radars which uses the concept of correntropy to distinguish correct targets from false detections. In proposed method the history of each cell of ambiguity function is modeled as a stochastic process. Then the stochastic processes consist the noise are differentiated from those consisting targets by constructing an FIR adaptive filter. A cost function which is based on correntropy is utilized to update the filter. The performance of the proposed method is evaluated by simulation in presence of rapid and slow moving targets. The obtained results shows the superiority of the proposed method compared to its alternatives in such manner that it detects rapid targets at least 18.7 and 20.1 percent better than HOSCM and PFCM. Furthermore it detects slow targets 19.3 and 21.4 percent better than those alternatives, all in presence of maximum noise (i.e. SCNR=-30dB). }, Keywords = {Bistatic passive Radar, Ambiguity Function, Delay, Doppler, Noise, Adaptive Processing, Correntropy}, volume = {5}, Number = {2}, pages = {23-41}, publisher = {Sahand University of Technology}, url = {http://journals.sut.ac.ir/jnsee/article-1-152-en.html}, eprint = {http://journals.sut.ac.ir/jnsee/article-1-152-en.pdf}, journal = {Journal of Nonlinear Systems in Electrical Engineering}, issn = {2322-3146}, eissn = {2322-3146}, year = {2019} } @article{ author = {Mohammadzadeh, Ardashir}, title = {adaptive control of two-link robot manipulator based on the feedback linearization method and the proposed neural network}, abstract ={This paper proposes an adaptive control method based on the feedback linearization technique and a proposed neural network,  for tracking and position control of an industrial manipulator. At first, it is assumed that the dynamics of the system are known and the control signal is constructed  by the feedback linearization method. Then to eliminate the effects of the uncertainties and external disturbances, the parameters of the proposed neural network are learned based on the Lyapunov method such that the sliding condition to be satisfied. The performance of the proposed method is compared with the sliding mode technique in presence of external disturbance, delay and uncertainties. The simulation results verify that the proposed method is effective and can be used in many applications.}, Keywords = {neural ontrol, excitation and inhibition neurons, sliding mode, feedback linearzation, adaptive control and robot}, volume = {5}, Number = {2}, pages = {55-73}, publisher = {Sahand University of Technology}, url = {http://journals.sut.ac.ir/jnsee/article-1-180-en.html}, eprint = {http://journals.sut.ac.ir/jnsee/article-1-180-en.pdf}, journal = {Journal of Nonlinear Systems in Electrical Engineering}, issn = {2322-3146}, eissn = {2322-3146}, year = {2019} } @article{ author = {mohajelkazemi, farhad and Banaei, Mohamad Reza and sabahi, mehr}, title = {Design of the new multilevel current source converter to grid connected applications}, abstract ={A novel current source multilevel inverter is introduced in this paper which is an appropriate alternative to be employed for low/medium power applications. the proposed converter is formed basic modules which paralleling these modules increse output current levels and improve quality of injected current to load or grid. in order to validate advantages of proposed converter versus the several multilevel current source inverters, a full comparison is provided. the simulation results shows the good performance of the proposed converter in off grid and grid-connected applications. Also experimental results for single-phase load confirm the practicablity of the proposed converter.}, Keywords = {Multilevel converters, Current source converters, switch reduced converters, Power quality}, volume = {5}, Number = {2}, pages = {74-91}, publisher = {Sahand University of Technology}, url = {http://journals.sut.ac.ir/jnsee/article-1-206-en.html}, eprint = {http://journals.sut.ac.ir/jnsee/article-1-206-en.pdf}, journal = {Journal of Nonlinear Systems in Electrical Engineering}, issn = {2322-3146}, eissn = {2322-3146}, year = {2019} } @article{ author = {Parhizkar, Amin and Kazemzadeh, Rasool}, title = {Improve dynamic performance of fixed speed wind turbines using unified power flow controller (UPFC) and fractional order controller (FOC)}, abstract ={Wind powers are very unstable in voltage fluctuations, especially in short circuit error and sharp and sudden voltage drops, which one of its main reasons is the use of induction generators in these power plants and thus need to reactive power and high magnetizing current. To improve the ride_through voltage from WECS in error conditions and damping the oscillations of the induction generator rotor, a UPFC is used the controller FOPID is used in UPFC controllers for the first time. Since FOPID has two parameters more than IOPID, it has recently attracted much attention (needing more work and research motivation) as it gives more flexibility to a control system designing and a better opportunity to adjust the system dynamics, especially, if a system is to be controlled be a fractional system. The investigations indicate that controller FOPID adjusted by presented PSO algorithm, show improved dynamic performance than traditional PID and feedback controller in a wide range of operating conditions.}, Keywords = {Wind turbines, UPFC, Turbine performance, Dynamic performance}, volume = {5}, Number = {2}, pages = {92-109}, publisher = {Sahand University of Technology}, url = {http://journals.sut.ac.ir/jnsee/article-1-154-en.html}, eprint = {http://journals.sut.ac.ir/jnsee/article-1-154-en.pdf}, journal = {Journal of Nonlinear Systems in Electrical Engineering}, issn = {2322-3146}, eissn = {2322-3146}, year = {2019} }