Journal of Artificial Intelligence in Electrical Engineering
Volume:5 Issue: 17, Spring 2016

The drilling is well known as one of the most common hole making processes in the industry. Due to close tolerance requirement for drilled holes in the most of work pieces, online controlling of the diameter of drilled holes seems to be necessary. In the current work, an online dimensional controlling system was developed for drilling process. Doing this, drilling process was executed in different cutting conditions (feed per tooth and cutting speed) and different flank wear of cutting edges. In each drilling test, axial force and diameter of drilled hole was recorded. According to the results obtained from analysis of variance (ANOVA), increase of flank wear in cutting edges increases the axial force and hole-diameter. In this way, the axial cutting force, as online measurable parameter, could be used for online estimation of the hole-diameter. Neural network (NN) was used to model the correlation between axial force and the hole diameter. In this way, the obtained NN model estimates the maximum acceptable axial force by receiving cutting conditions and maximum acceptable hole-diameter. The drilling process has to be stopped as its axial force exceeds the estimated value for drill changing.

Mobile robot navigation is one of the basic problems in robotics. In this paper, a new approach is proposed for autonomous mobile robot navigation in an unknown environment. The proposed approach is based on learning virtual parallel paths that propel the mobile robot toward the trackusing a multi-layer, feed-forward neural network. For training, a human operator navigates the mobile robot in some different paths in the environment. Both of human operator navigating data and virtual parallel paths train the neural network. The neural network is able to map the coordinate of a position to a mobile robot orientation and velocity. After training, the mobile robot can plan a track between start and target position without the need of any human operator. When the environment surrounding the mobile robot is unknown, sensors are used to detect obstacles and avoid collision. The simulated mobile robot is equipped with a rangefinder sensor. The simulation shows promising results and high speed for real-time implementation in unknown and partially dynamic environments.

The drought continuity and also restricting watery sources caused agriculture section forget old flooding methods for optimum water exploitation and proceeding new irrigation systems. New generation of irrigation systems called intelligent systems is a new solution leading to exploiting water increase to higher than 80%. In order to measure sensors and to control processors in designing and dismounting intelligent systems, Delphi programming and computer was administered in this study.. Managing works such as irrigation time and controlling temperature, humidity and even ventilation are managed and controlled automatically through adjusting the style of controlling intelligent systems. Processors are responsible for providing necessary factors about greenhouse such as heat, cold, light and humidity. Designing software in Delphi area caused all measuring parameters’ monitoring from greenhouse area in computer area. Central hardware system exports different orders through getting data from sensors for controlling processors. The processors used in this way should be able to establish a faster relationship between processors .We concluded that economizing should be done in using water from 40 up to 50 percent with managing irrigation time and round – the – clock temperature. Thus, the plant has enough amounts of nutritional materials.

In this paper, a novel control method for photovoltaic converter connection to the national grid is presented, so in addition to the injection control by solar arrays to the grid, this method can compensate reactive power and harmonics in the load current. The system will be connected in parallel between the grid and load. The proposed system supplies all load power consumption (including active power and reactive power) and if less power is produced by the solar array inverters, the proposed method can be used to compensate the remaining reactive power and harmonics of load. Using this method, power factor of the system will be equal to unity. Finally, to verify the performance of the method, a grid-connected photovoltaic system is simulated.

Nature has always proven that it is able to overcome its problems. However, human manipulation has led to environmental degradations. The dryness of a thousand-year Urmia Lake (a brine water lake in Iran) is an example of environmental degradation that happened due to successive droughts and construction of dams on the basin of this lake. This study examines methods for the revival of Urmia Lake by making use of the water gathered behind the dam of Urmia Lake for agricultural purposes. This examination will be carried out by constructing several green plants around this lake over 20 years. The cost and amount of this construction project is analyzed with MATLAB software and by using an Ant Colony Algorithm.

Natural hazards such as earthquakes have threatened the life of human beings during the history. As a consequence, the vibration mitigation of structures has caught great importance. Active control of structures is one of the rapidly emerging areas in the concept of structural control. This paper presents a control method to deal with this subject when the dynamics of the structure is hysteretic and the parameters of the structure contain uncertainties. The hysteresis behavior of the structure is modeled using Bouc-Wen equation and the uncertainty is considered in its parameters. For control purpose, sliding mode method and its adaptive version are used. The salient point of adaptive sliding mode technique is that it does not use the uncertainty bounds in its controller; this is correspondent to the fact that the estimation of the structural parameters may not be exact. The efficiency of the proposed method is shown with a simulation.