International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control EngineeringA monthly Peer-reviewed & Refereed journal
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
Fractional Order IMC-PID Controller Design for Non-Linear System
N. Abinaya, A.V. Divya Priya, J. Yazhini, K.M. Nandhini
DOI: 10.17148/IJIREEICE.2018.611
Abstract: The paper evaluates the advantage of Nanotechnology in medical field. These advantages are in four points; in each point I highlighted the important applications and opportunities for these advantages in Nano medicine. This model could be used as a guideline for other researches, which is related to same topic. Also, this model can represent the effective side of Nano technology in medical field. This model highlighted the important advantages for nanotechnology in medical filed. Also; the model adds value for this area of study.
Keywords: Nanotechnology, repairing tissues, early detection, drug delivery.
A Review on 12-Pulse DSTATCOM For Mitigation of Power Quality Problems
Rakesh kumar, Mr. Vikas Sharma
DOI: 10.17148/IJIREEICE.2018.612
Abstract: Intelligent Traffic control system using Xigbee and gsm to develop system which is useful to control traffic effectively. The system monitors the live traffic and according to density of traffic the signals are controlled. Each vehicle is considered to be having its own unique rf id tag which is placed on position where it cannot able to remove. If the tag is of black listed vehicle detected on signal system send massage to police control room. Xig bee placed on emergency vehicle used to send signal to system clear traffic on route before vehicle reach to the traffic signal point.
Keywords: Intelligent Traffic Control System, Xigbee, RF id tag, ZigBee, traffic signal point.
Active Power Factor Correction for Welding Power Source
Dr. M. Sundaram, V. Vaideeswaran
DOI: 10.17148/IJIREEICE.2018.613
Abstract: This paper presented the charge/discharge stage in the solar power system which is used by a multiple- winding bidirectional flyback converter. The maximum energy extraction from photovoltaic panels, battery charging and discharging dynamic control, and high voltage step-up to the inverter DC bus, also operating with soft-switching capability. In the normal operation of solar panels, the energy can be charged to the battery module. When one or more solar panels are out of order, the battery module supplies the energy to the load through the bidirectional flyback converter without affecting the operation of the load. Generally, one solar-energy maximum-power-point tracking circuit is with one battery module. So more tracking circuits need more battery modules. However, for the multiple- winding bidirectional flyback converter presented in this paper, it uses only one battery module and can be applied to the multiple solar energy maximum-power-point tracking circuits. Furthermore, about the charge way of battery, the interleaved energy charge method used to this bidirectional flyback converter is proposed in this paper. All the above mentioned functions are realized with digital signal processor to integrate the complete system. In order to capture the maximum energy from the PV module, solar inverters must guarantee that the PV module is operated at the MPP. This is accomplished by the maximum power point control loop known as the Maximum Power Point Tracker (MPPT).
Index term: Flyback converter, photovoltaic array, single Energy storage, Maximum Power Point Tracker.
Mukesh P. Mahajan, Manisha Desale, Archana Kothwal, Ashwini Ghumare
DOI: 10.17148/IJIREEICE.2018.614
Abstract: A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. Proposed paper uses face recognition technique for verification in ATM system. For face recognition, there are two types of comparisons. The first is verification, this is where the system compares the given individual with who that individual says they are and gives a yes or no decision. The next one is identification this is where the system compares the given individual to all the other individuals in the database and gives a ranked list of matches. Face recognition technology analyzes the unique shape, pattern and positioning of the facial features. Face recognition starts with a picture, attempting to find a person in the image using mat lab software. The output of MATLAB result is given to the microcontroller, its checks user face and password. If both are matched with data based, then only user can continue their transaction.
A Comparative Study on Region Growing Methodology and Zernike Moment Methodology for Brain Tumour Detection
Sree Sankar. J
DOI: 10.17148/IJIREEICE.2018.615
Abstract: Transformers are of great interest ever since its invention because of its robustness and application in power systems. Hence there is a lot of research going on to increase its performance characteristics and compatibility in the higher power system rating due to ever increase in power demand. This is achievable by effective strategic modeling in a high performance simulation environment such as ANSYS Maxwell where in, the transformer is designed for the required characteristic, modeled, analyzed and performance evaluation is done. In this paper design and modeling of a three-phase core type transformer with coil and terminals is described in detail employing magnetostatic analysis in ANSYS Maxwell simulation platform.
Design of Systolic Array Multiplier Circuit using Reversible Logic
Debashish Mahapatra, Kinnera Vishal, Adi Manindra, Bandapally Deepak, B Nagavardhan
DOI: 10.17148/IJIREEICE.2018.616
Abstract: This paper aims the method of estimating unknown system characteristics (desired signal) by using the system identification method. The design of such system belongs to the optimal filtering domain, which is originated from the work of Wiener. In such applications fixed or adaptive Filters can be used. Fixed filters designed based on system prior knowledge, but adaptive algorithm based filters consists the ability to adjust their own parameters automatically and can match their (unknown system) characteristics with desired system (known system) characteristics. Design of these adaptive systems not required any prior knowledge of system characteristics. In the proposed system parameters were estimated using various least square adaptive algorithms. Since a finite impulse response(FIR) filter only has zeros, is stable irrespective of the filter coefficients, this work selects a FIR filter as the base filter. The adaptive algorithm used is Least Mean Square (LMS) and various LMS algorithms like Normalized- LMS, Signed-LMS, SignedβSigned LMS, Signed data, Signed error etc. The proposed work used C software to develop System identification with adaptive FIR filter using various LMS algorithms and also implemented this model by using TMS320C6713 DSK for Real Time Applications. Texas Instrument (TI) assembly language can be obtained by using 3.1V Code Composer Studio (CCS).
Keywords: Adaptive algorithms, estimation of unknown characteristics, LMS, NLMS, signed error LMS, signed-data LMS, sign-sign LMS algorithm.
Design of PI Controller Using MRAC Technique for the Control of DC Electromotor Drive
Thanakala Raja, A.S. Anitha Nair
DOI: 10.17148/IJIREEICE.2018.617
Abstract: This system uses the Global Positioning System (GPS) tracking technology in combination with Global System for Mobile (GSM) technology. An integrated system employing latest tracking techniques using satellite receiver in the form of GPS Modem, integrated with a robotic vehicle can be used to detect the exact location of metal in the field. Then the GSM module transmits the received data to the authorized Mobile user. Main purpose of this project is to detect landmines by using a GPS enabled remotely controlled robot.