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This paper presents a speed control for a DC motor. Despite the unknown parameters of the plant to be controlled, these parameters are found using a system identification method. The methodology implemented in this study is known as parametric regression and is based on an optimization technique. This optimization, through its fitness function, allows to find the system characteristics in order to...
The present paper details the analysis of a custom designed synchronous reluctance machine used for light electric vehicles. Firstly, the paper details the design of the machine using dedicated software, followed by an iterative optimization process using a coupling of FEM software with Matlab code. In order to analyze the performance of the machine, dedicated control strategies need to be implemented...
Reducing the fuel consumption of vehicles leads often to an optimization task of the complete drive train. A significant influence to the fuel consumption is caused by the energy consumption of electric loads. An oversized generator, to supply the loads, leads to additional weight of the vehicle and additional costs, which should be avoided. To obtain the right size of the generator an analytical...
The quad-rotor (or quad copter) is a complex system that has lately submerged the aerospace field. In this article, components are chosen from Modelica's different block libraries to build the multi-body model. On this model, simplified dynamic equations are implemented according to a certain disposing configuration. Based on disk actuator theory, a multi-disciplinary optimization takes place in order...
High-speed drives are becoming increasingly important as the need of higher power densities has been driving the trend towards higher speeds in electrical drives. This trend, however, possesses several challenges, one of which is the thermal constraints due to the higher loss densities in the machines. For example, rotor losses are critical in applications where the rotor runs in vacuum, whereas the...
The present work proposes a development of a limited motion actuator dedicated to the air flow regulation of an internal combustion engine. A mixed analytical-FEM optimal design methodology is presented. An analytical study of a bipolar permanent magnet actuator has been done with a first geometrical optimization under constraint by a Genetic Algorithm. Then, the analytical study is coupled with Matlab®...
This paper presents a study on an optimized controller for a switched reluctance generator (SRG) intended for variable-speed applications. The proposed optimization approach using “massive” simulation is described. Simulation results obtained with an 8/6 switched reluctance generator in a large range of operating conditions are presented and compiled into multidimensional tables that can be used as...
This paper proposes a modeling procedure of synchronous machine with admittance networks. Load and stator are modeled in a conventional way, i.e. in dq frame. The accent is given to inaccessible parts of the machine (rotor). Hence, the rotorpsilas circuit is modeled with admittance functions. The order of the system, which depends on the desired precision, does not modify the equations set. Parameters...
A multiobjective optimization procedure for the design of interior PM motors based on differential evolution algorithm is presented. A comparative analysis has been carried out for the optimized 5 kW, 50 kW and 200 kW IPM motors with two and three layers of cavities in the rotor to show design trade-offs between goals to minimize the motor volume while maximizing the power output in the field weakening...
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