Showing 10 results for Heidari
Lesani, Darabi, Nasiri Gheidari, Tootoonchian,
Volume 2, Issue 1 (January 2006)
Abstract
In this paper, a new field oriented control scheme with maximum torque for permanent magnet hysteresis synchronous (PMHS) motor has been presented. Vector control method provides significant improvement to the dynamic performance of ac motors but in this method d- axis current is controlled such as the ratio of motor torque to motor current is a maximum, then the dynamic performance will be very fast. Furthermore, d and q axis currents are limited such as stator winding currents remain in the allowed range. Feedback method is used for the decoupling the torque-current component from the fluxcurrent component so these two components can be independently controlled. Simulation results for the motor are given and test results validate the theoretical performances.
Z. Nasiri-Gheidari, H. Lesani, F. Tootoonchian,
Volume 2, Issue 3 (October 2006)
Abstract
Hunting is a flutter associated with the synchronous speed that gives rise to the
gyro drifting errors and may cause objectionable time-displacement errors in video head
wheel drives and other precision scanning systems. In this paper, dynamic characteristics of
permanent Magnet hysteresis motors are presented and hunting is explained. New damping
techniques have been developed using optimized eigenvalues calculation. They are
calculated from LQR optimization method. In this damping method, a distinct reduction in
hunting has been archived. Furthermore field oriented control result of motor is presented
that have good effect on Hunting. Nearest agreement between simulated and measurement
results shows the accuracy of motor model. Comparison between this paper results and
other measured damping methods result are shown its success.
D. Arab-Khaburi, F. Tootoonchian, Z. Nasiri-Gheidari,
Volume 3, Issue 1 (April 2007)
Abstract
Because of temperature independence, high resolution and noiseless outputs,
brushless resolvers are widely used in high precision control systems. In this paper, at first
dynamic performance characteristics of brushless resolver, considering parameters
identification are presented. Then a mathematical model based on d-q axis theory is given.
This model can be used for studying the dynamic behavior of the resolver and steady state
model is obtained by using dynamic model. The main object of this paper is to present an
approach to identify electrical and mechanical parameters of a brushless resolver based on
DC charge excitation and weight, pulley and belt method, respectively. Finally, the model
of resolver based on the obtained parameters is simulated. Experimental results approve the
validity of proposed method.
D. Arab-Khaburi, F. Tootoonchian, Z. Nasiri-Gheidari,
Volume 4, Issue 3 (July 2008)
Abstract
A mathematical model based on d-q axis theory and dynamic performance
characteristic of brushless resolvers is discussed in this paper. The impact of rotor
eccentricity on the accuracy of position in precise applications is investigated. In particular,
the model takes the stator currents of brushless resolver into account. The proposed model
is used to compute the dynamic and steady state equivalent circuit of resolvers. Finally,
simulation results are presented. The validity and usefulness of the proposed method are
thoroughly verified with experiments.
C. Lucas, F. Tootoonchian, Z. Nasiri-Gheidari,
Volume 6, Issue 3 (September 2010)
Abstract
In this paper a brushless permanent magnet motor is designed considering
minimum thrust ripple and maximum thrust density (the ratio of the thrust to permanent
magnet volumes). Particle Swarm Optimization (PSO) is used as optimization method. Finite
element analysis (FEA) is carried out base on the optimized and conventional geometric
dimensions of the motor. The results of the FEA deal to the significant improvement of the all
objective functions.
C. Lucas , Z. Nasiri-Gheidari , F. Tootoonchian,
Volume 6, Issue 4 (December 2010)
Abstract
In this paper particle swarm optimization (PSO) is used for a design optimization of a linear permanent magnet synchronous motor (LPMSM) considering ultra low thrust force ripples, low magnet consumption, improved efficiency and thrust. The influence of PM material is discussed, too and the modular poles are proposed to achieve the best characteristic. PM dimensions and material, air gap and motor width are chosen as design variables. Finally 2-D finite element analyses validate the optimization results.
A. Khodabakhsh, M. K. Moravvej-Farshi, M. Ebnali-Heidari,
Volume 7, Issue 2 (June 2011)
Abstract
We report the simulation results for impact of nonlinear Kerr effect on band structures of a two dimensional photonic crystal (2D-PhC) with no defect, a PhC based W1-waveguide (W1W), and also Coupled-Cavity Waveguides (CCWs). All PhC structres are assumed to a square lattice of constant a made of GaAs rods of radius r=0.2a, in an air background. The numerical simulation was performed using the nonlinear finite difference time domain (NFDTD) technique. To study the impact of Kerr effect on the photonic band structures, E-polarized lights of peak input intensities 0.5 GW-cm−2≤I≤25 GW-cm−2 have been used. The numerical results have shown that as the input light intensity increases, the band edges for all PhC waveguide structures considered experience red shifts. These numerical results for CCWs also show that the larger the light input intensity, the smaller is the corresponding maximum light group velocity.
M. Heidari,
Volume 13, Issue 3 (September 2017)
Abstract
In this paper, a new type of multi-variable compensation control method for the wind energy conversion systems (WECS) is presented. Based on wind energy conversion systems, combining artificial neural network (ANN) control and PID, a new type of PID NN intelligent controller for steady state torque of the wind generator is designed, by which the steady state torque output is regulated to track the optimal curve of wind power factor and the blade pitch angle is regulated to keep the stable power output. Also, the LPV model of the WECS, LPV compensator for the wind generator is designed to effectively compensate output of the wind generator torque and the blade pitch angle. Finally, simulation models of the control system based on a realistic model of a 8kw wind turbines are built up based on the Dspace platform. The results show that the proposed method can reduce interferences caused by disturbed parameters of the WECS, mechanical shocks of the wind generator speed are reduced while capturing the largest wind energyfluctuation range of wind generator power output is reduced, and the working efficiency of the variable pitch servo system is improved.
M. Evazi, M. Shahsavan, M. Heidari, A. Razminia,
Volume 14, Issue 4 (December 2018)
Abstract
This paper addresses a new method for decreasing error in secure chaotic communication which utilizes an adaptive law in demodulator part. The basic tools in this process are the Total Least Square as the fundamental technique in demodulating section and a chaotic signal as the carrier one which impose some complexities on the overall system. This algorithm may be used in digital filter for estimating parameters with lower error. Using this approach an improvement can be achieved in estimating the desired signal in comparison with two famous methods, namely, ordinary Least Mean Square (LMS) and Constrained-Stability LMS (CS-LMS). An illustrative example has been used to verify the presented technique through numerical simulation.
S. Mirzakuchaki, A. Heidari,
Volume 15, Issue 2 (June 2019)
Abstract
With the advent and development of the Internet of Things, new needs arose and more attention was paid to these needs. These needs include: low power consumption, low area consumption, low supply voltage, higher security and so on. Many solutions have been proposed to improve each one of these needs. In this paper, we try to reduce the power consumption and enhance the security by using SPGAL, a DPA-resistant Logic, and Carbon Nanotube FETs (CNTFETs) instead of conventional CMOS and MOSFET technology, for IoT devices. All simulations are done with HSPICE.