Optimal design of slotless tubular linear brushless PM machines using metaheuristic optimization techniques.

In this investigation, an optimal design procedure for tubular linear brushless permanent magnet (PM) machines has been proposed. A two-dimensional analytical magnetic field model in cylindrical coordinates has been employed to quickly and accurately calculate the magnetic flux density distribution and electromagnetic force. The objectives of the optimization problem are to simultaneously minimize the power losses and machine volume and the constraints are to ensure to develop the required level of electromagnetic force and to avoid saturation in the back-iron. The optimization problem has been solved using two types of metaheuristic optimization techniques, i.e., particle swarm optimization (PSO), and fuzzy adaptive PSO (FAPSO). The design procedure has been implemented on a case study to illustrate the capability of the proposed approach. [ABSTRACT FROM AUTHOR]