Bernardo Alvarenga

Electromagnetic Problems Solving by Conformal Mapping: A Mathematical Operator for Optimization

Having the property to modify only the geometry of a polygonal structure, preserving its physical magnitudes, the Conformal Mapping is an exceptional tool to solve electromagnetism problems with known boundary conditions. This work aims to introduce a new developed mathematical operator, based on polynomial extrapolation. This operator has the capacity to accelerate an optimization method applied in conformal mappings, to determinate the equipotential lines, the field lines, the capacitance, and the permeance of some polygonal geometry electrical devices with an inner dielectric of permittivity . The results obtained in this work are compared with other simulations performed by the software of finite elements method, Flux .

Heuristic and deterministic strategies applied on a PID controller tuning for speed control of a DC motor

This paper reports on a PID controller for speed control of a DC motor. The controller parameters were obtained through optimization methods employing heuristic and deterministic strategies. This methods were applied on a simulation model in order to verify which one provides better control results.

Particle Swarm Optimization with multi-ring topology applied to the optimization of power transmission line parameters

This paper proposes a method to assist the monitoring of power transmission lines, essential task to the electric industry operators. It is applied the Particle Swarm Optimization metaheuristic with multi-ring topology to obtain the cable-ground height, the distance between phases, the equivalent diameter of conductors, the currents and voltages, through a cross-section of a transmission line, using the reference values of the electric and magnetic fields. Due to the simplicity of implementation, the low runtime and the small error obtained, the proposed method is feasible and promising for monitoring transmission lines.

Modeling validation of Salient Pole Synchronous Machines from experimental inductances

In this paper, a computer simulation of the Salient Pole Synchronous Machine (SPSM) is presented. This simulation employs a modeling based on the machine self and mutual inductance curves, determined from a methodology, not presented here. These methodology applies the experimental volt-ampere method to obtaining the inductances curves. From these inductance data, using a mathematical methodology, are obtained the derivative inductances curves. The simulated results are confronted with the experimental currents and voltages measured in tests, for purposes of validation of the SPSM modeling from the experimental inductances.

Aplicação on-line de algoritmo genético na otimização de um regulador de velocidade fuzzy para acionamentos elétricos

This chapter presents the theory of Genetic Algorithm applied to the automatic tuning of the parameters of a Fuzzy Logic speed controller for electric drives, in the presence of load variation. The complexity of the speed controller and its non-linear characteristics leaded to the tuning of 16 parameters. In order to apply load to the motor, it was coupled to a generator connected to a resistor bank, which was switched on and o through a single IGBT. The terminal voltage of the generator depends on the motor speed, which changed signi cantly during the tuning process, increasing the di culty level of adjusting the controller parameters. Within this context, the use of Genetic Algorithm was carried out on-line without any human aid. The results showed its capability to nd the optimum solution, according to the criteria and search space previously de ned for the problem.