Journal of Majlesi Journal of Mechatronic Systems
Volume:6 Issue: 3, Sep 2017

This paper presents a new approach of under frequency load shedding scheme based on frequency linked pricing. Idea is to find sensitive node of system where there are chances of more fluctuations of frequency and more chances of voltage instability. Under frequency and low voltage nodes are more sensitive than other nodes in the system. ABT meter is installed having special design and load is shed as per priority. Algorithm is validated using real time data of actual feeder for 24hrs frequency fluctuations.

In this paper, the design of MPPT controlled DC-DC boost converter for PV charger application is presented. Duty cycle of the designed boost converter, which operates in 50 KHz, is controlled directly by P & O algorithm in order to track maximum power point of the PV panel that is changing in response of variation insolation of sunny day. The designed Boost converter is used as interface unit for matching 24V battery bank (20AH, 12V, C/5) with CANADIAN SOLAR CS5C-90 panel. The overall system is built and validated by using MATLAB SIMULINK. The simulation results show that the average efficiency of proposed MPPT controlled DC-DC converter is 98.34%, which is calculated by comparing the tracked PV power by designed converter and the proposed maximum power of the panel for different level of insolation. The results express the effective operation of designed converter system by tracking MPP for PV panel in different insolation situations.

Although induction motors have many structural advantages, they are difficult to control due to complicated and non-linear structures. In recent years, the control performance of induction motors has been improved by using intelligent control methods such as fuzzy control and artificial neural network control. This article presents implementation of model reference adaptive control (MRAC) based on radial basis function neural network (RBFNN) for vector controlled induction motor drive at real time. The complex calculations used in vector control of induction motors can be easily done with digital signal processors, powerful microprocessors. In this study, a dsPIC30F6010A microcontroller based speed control system was designed for an induction motor with three-phase squirrel cage. The system consists of control board based on dsPIC30F6010A device, power module, three phase induction motor and DC generator that acts as a proper load. The rotor flux vector required for the coordinate transformations is estimated using indirect field-oriented control technique. The results show that the proposed RBFNN based MRAC scheme has better tracking performance than traditional PI controller for different references and loading conditions. The success and superiority of the proposed RBFNN based MRAC controller over the traditional PI controller was demonstrated by simulation and experimental studies.

In parallel with the rapid development of automation systems, there is a growing need to perceive different physical quantities in the industry. Various sensors have been developed to meet this need. Be affordable sensors, in terms of investment costs of systems and maintenance as well as repair costs are gaining importance. One of the commonly used sensors in automation is colour sensors. Colour sensors are frequently used in production lines especially for detecting defective products. Two general methods are used in colour sensors. The first of these methods is performed by camera and video processing microcontroller however this method is costly. Another method is the use of light source and LDR or phototransistor. The sensors produced by this method are more cost effective. These sensors have different types. In this study, a simple colour sensor was obtained by using white light source and three LDRs coated with red, green, blue film as well as arduino uno. The results obtained are compared with the RGB colour code table. In this way, the construction of a simple colour sensor has been studied in detail.

Tournament selection has been widely used in Genetic Algorithms since it has many advantages such as less time complexity, O(n), applicability for parallel programming, etc. Even if Tournament selection offers more efficiency than other selection methods, it is insufficient to adjust the equilibrium between exploration and exploitation. Because of this insufficiency, it may not convergence to the optimum points closely. The paper introduces a new selection method based on standard Tournament selection. Basically, the new selection method randomly chooses individuals from the population. The method computes fitness values of contestants, then selects the best and the worst individuals between contestants in order to utilize for selection. For some probability value, the selection method decides which individual is chosen, the best or the worst. The new technique overcomes the problem where Tournament is not sufficient by not giving up the exploration. Well-known benchmark functions are used to test the performance of the method. Moreover, the performance of new method is compared with Tournament selection to examine whether or not an improvement occurs. The results show that the new selection technique converges the optimum points closer than the standard Tournament selection.

In this study, the thermal and electrical efficiency of photovoltaic panel(PV) which is cooled with forced air by using PC power supply fan, is compared with normal PV module. PV panel characteristic values such as, solar radiation, air/PV panel temperature, power, current and voltage are measured for both panels simultaneously. The thermal and electrical energy performance of PV panels comparative analysis had been presented. The TOMMATECH 10W polycrystalline PV modules are used for outdoor experimental analysis in city of Osmaniye.