Finite element methods for Maxwell's equations.

Experimental characterization and comparison of TLIM performances with different primary winding connections

The strengths and weaknesses of correlation algorithm, simulated annealing algorithm, and particle swarm optimization algorithm are studied in this paper. A hybrid optimization algorithm is proposed by drawing upon the three algorithms, and the specific application processes are given. To extract the current fundamental signal, the correlation algorithm is used. To identify the motor dynamic parameter, the filtered stator current signal is simulated using simulated annealing particle swarm algorithm. The simulated annealing particle swarm optimization algorithm effectively incorporates the global optimization ability of simulated annealing algorithm with the fast convergence of particle swarm optimization by comparing the identification results of asynchronous motor with constant torque load and step load.

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Application of Simulated Annealing Particle Swarm Optimization Based on Correlation in Parameter Identification of Induction Motor

Parameter estimation plays an important role in system modelling and control. This paper presents a parameter estimation strategy for separately excited DC motor using a chaotic initialized particle swarm optimization algorithm. The parameter estimation problem is converted into an optimization problem using an objective function. The presented strategy is significant in estimating the motor parameters accurately when compared to standard particle swarm optimization portrayed by low mean square error between actual and estimated speed.

Parameter Estimation of DC Motor Using Chaotic Initialized Particle Swarm Optimization

Methods of adjustment and control of small power tubular and flat construction linear induction motors starting force are considered. Experimental results of starting force adjustment of short time duty cylindrical linear induction motor by disconnecting its separate coils and combination of them are analysed. The theoretical and experimental results of electrically and magnetically double sided flat linear induction motor starting force adjustment and control by shifting one inductor with respect other in the secondary element movement direction and changing inductors supply voltage phase combinations. Ill. 8, bibl. 10 (in English; summaries in English, Russian and Lithuanian).

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Control and Adjustment of Linear Induction Motor Starting Force

Electromechanical system as object of research comprises two parts: electrical and mechanical. Converter of electric energy and control system compose an electrical part, all other linked between them moving masses form mechanical part. Several elements of mechanical parts, for example, shaft can be of finite stiffness and the total system can have kinematical clearance. According to this, electromechanics deals with one-mass, two-mass or several-mass mechanical part of a system. In the paper two-mass systems with the finite stiffness and non linearity of the shaft caused by kinematical clearance is considered. The structures of electromechanical system with finite stiffness of the shaft and clearance are presented, computer models of those systems are developed and simulation at different controlling inputs and different parameters of the systems is carried out. Two stages of the motor starting are considered: initial, while the deformation of elastic shaft or other chains takes part and the other end of shaft does not rotate yet, and work stage – when rotor starts to revolve. Ill. 8, bibl. 12 (in English; summaries in English, Russian and Lithuanian,).

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Operation of Electric Motor with Elastic Load

The paper deals with the identification of a direct current motor using experimentally measured transient processes of the motor starting and running-down at a no-load driving torque. The identification is based on the equation error method, which was chosen for its ability to work with noisy data. The major point of the method is that the data of the experimentally obtained measurements are reciprocally associated with the differential equations defining the analysed object. The paper discusses the process and the results of identification.

DC motor parameter identification using equation error method

In this article is investigated the distribution of magnetic field of linear induction motor. The are two models for simulation: three-phase asynchronous linear motor and single-phase linear capacitor motor. Simulations results of asynchronous LIM at different instants of time and at different widths of air gap are presented. The are given results of simulation, which show the change of magnetic flux at different instants of time of linear capacitor motor how magnetic field varies at different instants of time and at different current shits in phases. Charts of magnetic flux density below ending and middle tooth of inductor, and magnetic flux density in different cross-sections of air gap are compared. Ill. 9, bibl. 5 (in English; summaries in English, Russian and Lithuanian).

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Distribution of Magnetic Field of Linear Induction Motor

The paper presents new and simplified expressions for performance and mechanical characteristics of the linear induction motors (LIM). It enables to increase the speed of designing of different multifunction mechanisms of linear induction motors. On the base of the given expressions, results compared to experimentally and theoretically derived calculations with advanced origin conditions. The simplified computation methodology is based on facts, that theoretical mechanical characteristic of a low speed LIM crosses the speed axis over synchronous speed point because of influence of end effect and goes below the speed point because of asymmetry of currents. However in the first stage of design it is useful not to take into account LIM features which influences the different sign errors. Ill. 2, bibl. 10 (in English; summaries in English, Russian and Lithuanian).

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Z. Savickienė

Papers

Operation of Electric Motor with Elastic Load

DC motor parameter identification using equation error method

Distribution of Magnetic Field of Linear Induction Motor

Control and Adjustment of Linear Induction Motor Starting Force

Simplified Calculation of Linear Induction Drives Characteristics