An electric vehicle (EV) uses an electric motor for traction and chemical batteries, superconductors, combustion cells and / or inertial masses as energy sources. To avoid problems regarding the accuracy of the mathematical model of the system, the use of artificial intelligence in electric drives is a viable alternative. Among other advantages of using artificial intelligence in the electric drive system, it can be emphasized that its application reduces the design time and leads to avoiding problems with the introduction of the mathematical model in the system control algorithm. This paper presents several case studies of electrical vehicles and some considerations about intelligent control of EVs. Finally some experimental results that compare classical control system with fuzzy logic control system for EV are presented.

This paper presents one implementation of a ERP system using small computer systems interface (iSCSI) Network attached storage (NAS), and VMware technology, used in a company production environment. As a case ERP system is SAP.

Numerically controlled machines require precise control, because it is always necessary to know the placement of the effector. Control involves the use of electric motors that can be checked with precision. Therefore stepper motors are preferred. A further advance in stepper control is to incorporate a reaction mechanism for the rotor (for example, an encoder) so as communication is optimal for generating the torque, depending on the position of the rotor. This turns the motor into a servo mechanism with very high torque and very good position resolution. An advance in this technique is to operate the motor in a closed loop only if the error of rotor positioning becomes too high. This will allow the system to avoid oscillation while searching for a position, a problem that commonly occurs with servos. The supervision of a numerically controlled tool is limited to the control of electric motors that actuate mechanical assemblies. Control can be implemented by using specialized integrated circuits or microcontrollers. This paper presents a numerically controlled (CNC) machine with microcontroller.

The processing of dielectric materials in the radio frequency field continues to be a concern in engineering. This procedure involves a rigorous analysis of the electromagnetic field based on specific numerical methods. This paper presents an original method for analysing the process of drying wooden boards in a radio frequency (RF) installation. The electromagnetic field and thermal field are calculated using the finite element method (FEM). The load capacity of the installation is also calculated, since the material being heated in the radio frequency heating installations is placed in a capacitor-type applicator. A specific method is created in order to solve the problem related to mass, a quantity which tends to change during the drying of the dielectric. In addition, special consideration is given to issues regarding the coupling of the electromagnetic field and the thermal field, along with aspects pertaining to mass. These are implemented numerically using a program written in the Fortran language, which takes the distribution of finite elements from the Flux2D program, the dielectric thermal module, intended only for the study of RF heating. The results obtained after running the program are satisfactory and they represent a support for future studies, especially if the movement of the dielectric is taken into account.

This paper presents some methods of direct torque control (DTC) improvement for asynchronous machine (AM) with PWM inverter. Asynchronous machine DTC is recognized to have a straightforward control structure and work similarly to field orientation control (FOC). Two new strategies are presented to retain this control structure while simultaneously improving the switching frequency and stator flux estimate performances of the DTC drive. Finally, some proposed schemes for improved DTC and simulation results are presented.

The paper presents the project management of the power supply for house electrical installation, with help of photovoltaic panels. Nowadays one of the solutions that could lead to solve the problem of energy is solar energy. The main solar energy capture devices are divided into two categories, namely: thermal solar panels that transform solar energy into thermal energy and after that it can be converted into electrical energy and photovoltaic panels that transform solar energy into electricity. This project uses photovoltaic panels and the calculation of energy requirements are made for an electrical installation of a house. The reflection coefficient of the photovoltaic panels is calculated with the proposed method.