Jang-Sung Chun

Shape optimization of electromagnetic devices using immune algorithm

A new method employing the immune algorithm (IA) as the search method for the shape optimization of an electromagnetic device is presented. The method is applied to the shape optimization of a pole face of an electromagnet. For the magnetic field analysis the finite element method is used. It is shown that the proposed method with the IA is very useful for the shape optimization of electromagnetic devices.

A study on comparison of optimization performances between immune algorithm and other heuristic algorithms

Usefulness of heuristic algorithms as the search method for diverse optimization problems is examined. Immune algorithm (IA), genetic algorithm (GA) and evolution strategy (ES) are used to search the optimal value for some numerical functions. Then those results are compared each other. It is shown that IA is more useful for most of problems. Especially the structure and characteristic of immune algorithm (IA) are inspected in detail. Finally a surface permanent magnet synchronous motor (SPMSM) is designed by using the algorithms.

Efficiency optimization of interior permanent magnet synchronous motor using genetic algorithms

This paper presents an optimal design method to maximize the efficiency of the interior permanent magnet synchronous motor. To do this, the efficiency of the motor is taken as the objective function, and the genetic algorithm is used as the optimization algorithm to find the optimal design variables of the objective function. To make a more accurate prediction of performance possible, the air gap flux density and d, q axis inductances obtained by an analytical method are compensated by using the results from FEM studies.

Optimal design of synchronous motor with parameter correction using immune algorithm

This paper presents a new technique for the optimal design of the surface permanent magnet synchronous motor (SPMSM) considering the parameter correction of synchronous reactance. The parameter correction for the design of SPMSM is performed by using the finite element method (FEM). The armature resistance and the residual flux density of rotor magnet are corrected through the thermal analysis. The advanced immune algorithm (AIA) is used in the optimization procedure.

Shape optimization of closed slot type permanent magnet motors for cogging torque reduction using evolution strategy

The analysis of a permanent magnet-type AC servo motor with both a closed slot and a ring shape magnet is performed by using the finite element method (FEM). The saturation of the bridge-part connecting two slot teeth is considered for nonlinear analysis. The optimal design of the stator is presented for minimizing cogging torque. The torques, i.e. cogging and rated torques, are expressed in terms of vector potential computed by directly applying the Maxwell stress tensor formula. The minimization of cogging torque of sample model is achieved by using the (1+1) evolution strategy (ES) and the rated torque must be more than the specific value.

Performance evaluation of slotless permanent magnet linear synchronous motor energized by partially excited primary current

This paper is presented for evaluating the static and dynamic performance of slotless permanent magnet linear synchronous motor (PMLSM) which is energized by partially excited primary current. Especially, the influence of the end-effect resulting from the moving magnet is investigated in detail. The starting and control characteristics related to the end-effect of PMLSM are studied.

Dynamic characteristics of partially excited permanent magnet linear synchronous motor considering end-effect

This paper is presented for evaluating the dynamic of permanent magnet linear synchronous performances motor (PMLSM) which is energized by partially excited primary current. Especially, the influence of the end-effect resulting from the moving magnet is considered in detail. The starting and control characteristics related to the capability in PMLSM driving are investigated successively.

Multisolution optimization of permanent magnet linear synchronous motor for high thrust and acceleration operation

Multisolution optimization technique employing immune algorithm (IA) searches diverse solutions at one optimal design procedure. By applying the technique to the optimizations of sinc function and PMLSM design, its usefulness is proved. The design procedure for PMLSM is verified by comparing test and analysis results of PMLSM, which is manufactured practically.

Finite element analysis in electromagnetic system considering vector hysteresis characteristics

This paper describes an implementation of the static magnetic hysteresis using the finite element method and a vector hysteresis model. The vector hysteresis model which is extended from the magnetization-dependent Preisach model is adopted. The magnetization of each element is calculated for a given history of the rotating field. The lagging angle of the magnetization for the applied field is evaluated. It is shown that the magnetization characteristics of the magnetic materials under the rotating field can be explained.

Analysis of the three dimensional magnetic system with nonlinearity using reluctance network method

For the three-dimensional analysis of magnetic systems, Reluctance Network Method(RNM) can he used efficiently. RNM, a kind of modification of magnetic equivalent circuit method(MECM), ensures high accuracy similar to FEM and short computation time. Because of this feature, for the analysis that requires the consideration of some nonlinearity such as magnetic saturation of iron material and the magnetizing processes in permanent magnet, RNM can be used reasonably. In this paper, a permanent magnet lifter (PML) model i s analyzed with RNM,