Volume 8, No. 1 (2018)

CONTROL AND MONITORING OF AUTONOMOUS INTEGRATED IRRIGATION SYSTEM

This paper reflects the results of the irrigation processes automating platform for the plantations, which is very user-friendly to optimize these processes and minimize irrigation costs and therefore serves as a means to become more competitive on the market. It have been carried out the automation of plantation's irrigation process: three irrigation scheduling and control modalities have been proposed and software testing has been carried out to ensure the high reliability of the information and command system and its efficiency with a series of applications for the irrigation monitoring system, which allows the final user to make the necessary totals and decisions.

CONTROL AND MONITORING OF INTEGRATED RENEWABLE SOURCES ENERGY STORAGE IN SMART GRID

In this paper is reflected the approach of the monitoring and control problem of the Smart Grid network, within which the energy storage is obtained from renewable resources: solar panels, wind turbines, etc. The smart grid is envisioned as a large-scale complex system that can improve the efficiency and robustness of power and energy grids. One side is forecasting API, that has been tested based on collected data from real Smart Grids mounted in Republic of Moldova. The aim is to determine if the Forecasting API can be used for such purposes and what are the best usage conditions.

ELECTRICAL PROPERTIES OF HETEROSTRUCTURES BASED ON CdTe –ZnTe

The results of the investigation of the galvanomagnetic properties of thin layers of solid solutions of Cd1-XZnXTe are given. The activation energy of acceptors equals to 0.22 eV for a layer with x = 0.2 and to 0.38 eV for a layer with x = 0.4 were calculated. In the n-CdTe-p-Cd0.8Zn0.2Te heterostructures the direct currents exceed the inverse currents by a factor of ~ 105. The main mechanism of current flow through the barrier is over-barrier diffusion.

COGNITIVE MULTI-AGENT SYSTEM FOR SEARCHING OPTIMAL SOLUTIONS

This article proposes the development of a multi-agent system with cognitive properties designed to find optimal solutions in the work environment. The Multi-Agent system consists of two agent sub-agents that contribute to maximum profits for their team. Aggregation subsystems are devoid of functions the communication capabilities. The status of an agent can only be identified in terms of his actions on the business environment. The process of finding an optimal solution is to solve the Nash equilibrium condition. The operating mode of the system is based on the structure diagram, the cognitive agent model and the knowledge and knowledge building diagram. The implementation is intended to use MCUs. Evaluation of the Nash equilibrium conversion rate was performed for 4 cases: one agent in each subunit, 5 agents in each subunit, 10 to 5 and 5 to 10 agents in each subset. The results are presented in the form of convergence graphs.

OXIDE SEMICONDUCTORS - AS MATERIALS FOR DETECTING OZONE CONCENTRATION IN THE ATMOSPHERE

The photoresist receptors were obtained based on oxide - and nanocomposites - - . The oxide-based photoresistor has a sensitivity in the UV region (λ

THE COMMAND WITH THE ARDUINO UNO DEVELOPMENT BOARD OF THE DC MOTOR USED TO DRIVE A CONVEYOR BELT

This paper presents a control system of the DC-motor used to drive a conveyor belt made with the Arduino Uno development board. For powering the DC motor from a continuous voltage source, an H-bridge bridge was used to reverse the motor rotation direction. The Arduino Uno development board generates the PWM command signal of the H-bridge bridge transistors through a program saved in the flash memory of the Atmega 328 microcontroller. For the implementation of the program, an experimental stand was made in the Electrical Machines Laboratory of the "Vasile Alecsandri" University of Bacau. The experimental stand is used for determining operating characteristics of the conveyor belt under laboratory conditions. The control system is flexible and allows the optimization by attempts of the operating regimes of the conveyor belts. The control system of the DC motor with the Arduino Uno development board ensures the performances settled in the design phase.