Jean Bigeon

A methodology and a tool for the computer aided design with constraints of electrical devices

A methodology for the computer aided constrained design of electrical devices is presented and validated through the design of a slotless permanent magnet structure. It is based on the use of the analytical design equations of the device. Symbolic calculation is widely used to generate an analysis program and a sensitivity computation program. Those programs are linked with an optimisation algorithm that can take constraints into account. The methodology is tested with an experimental software named PASCOSMA.

Particle swarm optimization for solving engineering problems: A new constraint-handling mechanism

This paper addresses constrained and optimal engineering problems solved using an adapted particle swarm optimization (PSO) algorithm. In fact, a specific constraint-handling mechanism is presented. It consists of a closeness evaluation of the solutions to the feasible region. The total constraints violation is introduced as an objective function to minimize. Interval arithmetic is used to normalize the total violations. The resulting objective problem is solved using a simple lexicographic method. The new algorithm is called CVI-PSO for constraint violation with interval arithmetic PSO. The paper provides numerous experimental results based on a well-known benchmark and comparisons with previously reported results. Finally, a case study of the optimal design of an electrical actuator with several model reformulations is detailed.

A methodology for the sizing and the optimization of an electromagnetic release

In this paper we present a multi modeling problem, and the design process that we manage to associate with it. In the first part, the different models are described. The reasons for such modeling are also exposed. Then the applied design process is detailed and justified.

Application of a new optimization approach to the design of electrical wheels

The goal of this paper is the optimization of the design of electrical wheels. For this, a new approach that automatically generates the optimization software is used. It allows the design to be made with an elaborated analytical model of the structure chosen for the wheel. Thus it is possible to obtain a very efficient optimization program. This approach is illustrated using the example of an electrical wheel for a bicycle.

Interval-based global optimization in engineering using model reformulation and constraint propagation

This paper deals with the preliminary design problem when the product is modeled as an analytic model. The analytic models based method aims to use mathematical equations to address both multi-physic and economic characteristics of a product. The proposed approach is to convert the preliminary design problem into a global constrained optimization problem. The objective is to develop powerful optimization methods enough to handle complex analytical models. We propose to adapt an approach to solve this problem based on interval analysis, constraint propagation and model reformulation. In order to understand the optimization algorithm used for engineering design problems, some basic definitions and properties of interval analysis are introduced. Then, the basic optimization algorithms for both unconstrained and constrained problems are introduced and illustrated. The next section introduces the reformulation technique as main accelerating device. An application of the reformulation device and its global optimization algorithm on the optimal design of electrical actuators is presented.

Methodological guidelines for the use of analytical and numerical models in a design process of an electromagnetic device

This paper describes a design process that uses simultaneously analytical and numerical models for the design of electrical wheels. This example is then used to extract general guidelines for the right use of numerical and analytical models in a design problem of an electric device.

Robust optimization based on the Propagation of Variance method for analytic design models

The robust optimisation is performed in the preliminary design phase dealing with analytic models. The analytic models come either from the finite element models or from the physical laws approximation. The variability on the design parameters is defined using random variables identified by their first two Moments, the Mean and the Standard deviation. A robust design approach is proposed that determines whether a robust design solution exists or not to the given design problem. This approach combines a reformulation of the analytic model with the new design specifications. It integrates the parameter uncertainties (Mean and Standard deviation) and a deterministic optimisation algorithm (SQP algorithm). The Means and the Standard deviation are computed using the Propagation of Variance method. The engineering application of an electrical actuator design is introduced and used to show the implementation and the effectiveness of the proposed robust approach.

A methodology for knowledge representation in expert system, in the field of electrical engineering

The aim of this paper is to propose a methodology of knowledge representation for tools used to design products in the field of electrical engineering, especially for motor design. This methodology provides a model which is implemented in object-oriented software. >

The Electromagnetic Actuator Design Problem: An Adapted Interval Global Optimization Algorithm

This paper presents a deterministic optimization algorithm applied to the optimal design of electromagnetic actuators. The algorithm is based on interval arithmetics and constraint propagation, and aims at solving nonlinear optimization problems by enclosing the global optimum. A new reformulation step is introduced in order to accelerate the convergence of the algorithm and increase solution accuracy. Numerical tests have been performed on the optimal design of electromagnetic actuator.

A new generic problem formulation dedicated to electrified railway systems

In this paper, a new generic problem formulation dedicated to railway electrification systems is proposed. This formulation meets the needs for evolutivity of modern simulation tools by using meta-models for the railway network components. This approach has been applied to develop a new general-purpose electrified railway simulator. As an example, a DC electrification system has been simulated and the results compared to those of a classical simulator for validation purpose. A comparison of different resolution algorithms is also presented as a result of the possibilities offered by the new simulator.