The development of technologies for the additive manufacturing, in particular metallic materials, is offering possibility producing parts with complex geometries. This opens up to using topological optimization methods design electromagnetic devices. Hence, a wide variety approaches, originally developed solid mechanics, have recently become attractive also field electromagnetics. general distinction between gradient-based and gradient-free drives structure paper, latter becoming...

Optimization metaheuristics, such as Particle Swarm Optimization, Ant Colony and bacterial foraging strategies have become very popular in the optimization community been successfully applied to electromagnetic device design. The Artificial Bee (ABC) algorithm is a rather new bio-inspired swarm intelligence approach which competitive with other population-based algorithms has advantage of using fewer control parameters. In this work, standard an improved version ABC Gaussian distribution are...

This paper gives an overview of some stochastic optimization strategies, namely, evolution genetic algorithms, and simulated annealing, how these methods can be applied to problems in electrical engineering. Since usually require a careful tuning the parameters which control behavior strategies (strategy parameters), significant features algorithms implemented by authors are presented. An analytical comparison among them is performed. Finally, results discussed on three problems.

Interior permanent magnet (IPM) motors are normally designed with two or more flux barriers per pole. The form of such has a direct impact on the torque developed by IPM motor, regards to both its average value and ripple. Machaon structure includes different shape, aimed at reducing Their shape depends number poles, slots, winding arrangements, PM volume used in rotor. An optimization technique is adopted order determine best objective achieving smooth high value.

The main aim of this paper is the imposition constraints for multiobjective optimizations magnetic gears. In order to reduce computational effort, a semianalytic design procedure adopted, providing fast simulation tool that can be embedded within an optimization loop. Magnetic, thermal, and mechanical are discussed into stochastic algorithm, in identify immediately infeasible geometries. algorithm has been developed provides useful initial adopted locate optimal solutions search space. This...

In this paper, a systematic model-based approach for the state estimation of permanent magnet synchronous motors to build up sensorless drives is presented. A moving horizon algorithm, an optimization-based scheme that yields excellent performance, applied speed and position estimation. Under mild assumptions, optimal problem equality constrained quadratic programing type has been solved each iteration. The steady transient performance proposal are evaluated considering different lengths....

A proposal for benchmark problems to test electromagnetic optimization methods, relevant multiobjective of a solenoidal superconducting magnetic energy storage with active and passive shielding is presented. The system has been optimized by means different procedures based on the global search algorithm, evolution strategies, simulated annealing conjugate gradient method, all coupled integral or finite element codes. comparison results performed features problem as are discussed.

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Particle swarm optimization is a population-based intelligence algorithm based on the simulation of social psychological metaphor instead survival fittest individual paradigm. Inspired by classical particle method and quantum mechanics theories, this work presents new quantum-behaved approach using mutation operator with exponential probability distribution. The results demonstrate good...

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Real-world engineering optimization problems involve multiple design factors and constraints consist in minimizing noncommensurable often competing objectives. In recent years, many evolutionary techniques for multiobjective have been proposed. this context, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm is an effective methodology to solve problems. A modified NSGA-II seek...

Low-rank approximation techniques are useful approaches to reduce the computational effort required by integral equations methods. Here, two different libraries based on hierarchical-matrices and hierarchically semi-separable matrices applied partial element equivalent circuit method for study of high-frequency electromagnetic problems. The academic case a dielectric sphere complex device used in thermonuclear fusion science considered order compare performances libraries.

In this paper, starting from the experimental experience of road embedment a transmitting coil for wireless power transfer, numerical model such device is constructed. The then used to perform several parametric analyses which aim at investigating influence main electromagnetic parameters concrete and geometrical transfer on overall behavior device. results study allow providing guidelines design choice materials embedment. Moreover, as secondary result adopted methodology, characterization obtained.

In 1996, a superconducting magnetic energy storage arrangement was selected to become benchmark problem for testing different optimization algorithms, both deterministic and stochastic ones. Since the forward can be solved semianalytically by Biot-Savart's law, this became quite popular. Nevertheless, demands on software have increased dramatically since then. To give an example, methods looking Pareto-optimal points rather than single solution only been introduced several groups. paper,...

The development of optimization techniques for multiobjective problems in electromagnetics has been flourishing the last decade. This paper proposes an improved particle swarm approach and applies it to version TEAM workshop problem 22. Simulation results show that this algorithm finds a better Pareto-optimal front with respect more classical PSO methods while maintaining spread nondominated solutions along front. Furthermore, proposed is compared widely used Nondominated Sorting Genetic...

Recently, a new kind of socio-politically motivated global search metaheuristic called imperialist competitive algorithm (ICA) was proposed. ICA is based on form imperialistic competition in which the populations are represented by countries divided among imperialists and colonies. In this paper, modified (MICA) approach concepts attraction repulsion between colony its introduced during for better solutions. A brushless direct current wheel motor benchmark problem used to investigate...

The present work aims at quantifying how, and how much, the uncertainties on components material parameters of a wireless power transfer (WPT) system for static charge electric vehicles affect overall efficiency functionality final produced device. With aim considering perspective possible industrial developer, selected uncertainty quantification are chosen to be capacitance values compensation capacitors electromagnetic used construction magnetic structure WPT system, i.e. elements...

A procedure to significantly reduce the computational cost of simulated annealing optimization algorithm coupled with analysis methods is proposed for EM devices. The chosen approach relies on application method an analytical approximation true objective function, expressed in form a multiquadric expansion. fully described, its potential advantages are pointed out and some test cases showing effectiveness implemented strategy reported discussed. As example superconducting magnet energy...

Many real-world optimization problems have to be treated as multi-objective problems. An approach, well established in recent years, is find Pareto optimal configurations of the trial variables by detecting nondominated solutions with help a suitable vector method. Alternatively, relying on scalar methods (both stochastic or deterministic), objective function taking all objectives into account simultaneously has defined. Depending number variables, that type will exhibit considerable...