Performance Improvement of DC-DC Buck and Boost Converter Using GA Based SMC

Vol. 2  Issue 2
Year:2014
Issue:Feb-Apr
Title:Performance Improvement of DC-DC Buck and Boost Converter Using GA Based SMC
Author Name:P. Melbamary, R. Anand and V. Akila
Synopsis:
This project shows the use of optimization techniques for DC-DC buck and boost converter. Nowadays, dc-dc converters are used in many applications. The sliding mode control based on variable structure system theory has been examined by buck and boost switching mode converter type. In this project, the dynamics response of both buck and boost converter can be increased by using some optimization techniques. The sliding mode control strategy has been proposed to ensure system stability even when the large input voltage and load variation, and the dynamic response can be increased. The sliding surface has been selected by assigning the poles combined with genetic algorithm which it will give sliding regime. The simulation result of the proposed genetic algorithm based SMC strategy is compared with the existing SMC. The proposed GA based SMC gives considerable improvement in faster output voltage response during load variation.

Scheduling optimization of flexible manufacturing system environment using Differential evolution and Bacterial Foraging Optimization Algorithms

Vol. 2  Issue 2
Year:2014
Issue:Feb-Apr
Title:Scheduling optimization of flexible manufacturing system environment using Differential evolution and Bacterial Foraging Optimization Algorithms
Author Name:A.V. S. Sreedhar Kumar, V. Veeranna and B. Durgaprasad
Synopsis:

In the 21 century, manufacturing companies face increasingly frequent and unpredictable market changes driven by global competition, including the rapid introduction of new products and constantly varying product demand. To remain competitive, companies must design manufacturing systems that not only produce high-quality products at low costs, but also which allow for rapid response to market changes and consumer needs. Complex Discrete Event Simulation Systems like Flexible Manufacturing systems necessitate the complete utilization of available resources to optimize their productivity. One important objective of scheduling in FMS systems is to increase resource utilization and reduce idle time. In this paper, scheduling is modeled as a Multi Objective Optimization Problem, with primary objective for picking a schedule which has very less Combined Objective Function (COF) value. Most of the optimization functions proposed in the literature have penalties incorporated in them when the scheduled job is not completed in the specified time. The authors have incorporated a reward for each job if the job is completed ahead of time. Such an approach has led to the increase in efficiency of the system.

Complex machining operations configured in the existing setup of FMS having 6 Machines producing 3 different parts through 3 alternative routes is considered for this work. An automated tool in the form of Graphical User Interface (GUI) is designed to automate the optimization of scheduling process by searching for solution in the search spaces using Bacterial Foraging Optimization Algorithm (BFOA), Genetic algorithm (GA) and Differential Evolution (DE) approaches and choose the best for that scenario. The inclusion of reward along with the penalty value as one of the parameters in the Combined Objective Function has yielded expected results in increasing the efficiency of the scheduling process in way of reduced machine idle time and reduced penalties.

A Review on SVD Based Watermarking Schemes

Vol. 2  Issue 1
Year:2014
Issue:Nov-Jan
Title:A Review on SVD Based Watermarking Schemes
Author Name:Samiksha Soni and Dr. Manisha Sharma
Synopsis:
SVD transformation has gained a wide popularity in the field of digital watermarking due to its characteristics. In this paper, the detailed analysis of SVD based watermarking algorithms are presented. The authors discuss in detail about the unique features of SVD transformation and working principles of the typical SVD based image watermarking algorithms that also elaborate the advantages and disadvantages of each.

A Novel Open End Slot Antenna for Ultra Wide Band Application

Vol. 2  Issue 1
Year:2014
Issue:Nov-Jan
Title:A Novel Open End Slot Antenna for Ultra Wide Band Application
Author Name:M.Sasikala and M.Duraisamy 
Synopsis:
A novel open end slot antenna for UWB application is proposed in this paper. It occupies a compact size of 2 23.5×23.5mm2 . Multiple resonances are generated by using an asymmetrical rectangular patch with the L-shaped open-slot structure. The proposed antenna provides wide bandwidth from 3.1 GHz to 11.02.6 GHz with -10 dB return loss.

Fractional Order PI Controller Technique for a Nonlinear Spherical Tank System

Vol. 2  Issue 1
Year:2014
Issue:Nov-Jan
Title:Fractional Order PI Controller Technique for a Nonlinear Spherical Tank System
Author Name:Marshiana.D and Thirusakthimurugan.P
Synopsis:
Fractional Order PI Controller Technique (FOPIC) offers success due to emerging of effective methods in differentiation and integration of the no integer order equation. In this research, the controller design using FOPIC is determined for a nonlinear system. The nonlinear system is taken up for the study is a spherical tank which is approximated to a first order system. Simulation is made by the MATLAB software.

Artificial Intelligent Control Of Induction Motor Drives

Vol. 2  Issue 1
Year:2014
Issue:Nov-Jan
Title:Artificial Intelligent Control Of Induction Motor Drives
Author Name:P. M. Menghal and Dr. A. Jaya Laxmi
Synopsis:
Induction Motors have many applications in the industries, because of the low maintenance and robustness. The speed control of induction motor is more important to achieve maximum torque and efficiency. The rapid development of power electronic devices and converter technologies in the past few decades, has made possible efficient speed control by varying the supply frequency and voltage, giving rise to various forms of adjustable-speed Induction Motor drives. In about the same period, there were also advances in control methods and Artificial Intelligence (AI) techniques, including expert system, fuzzy logic, neural networks and genetic algorithm. Researchers soon realized that the performance of induction motor drives can be enhanced by adopting Artificial Intelligent based methods. This paper presents an integrated environment for speed control of Induction Motor (IM) using artificial intelligent controller. The integrated environment allows users to compare simulation results between classical and artificial intelligent controllers. The fuzzy logic controller and artificial neural network controllers are also introduced to the system for keeping the motor speed to be constant when the load varies. The performance of fuzzy logic and artificial neural network based controllers is compared with that of the conventional proportional integral controller. The performance of the Induction motor drive has been analyzed for constant and variable loads.

Fault Detection & Diagnosis of Induction Machine with On-Line Parameter Programming Facility

Vol. 2  Issue 1
Year:2014
Issue:Nov-Jan
Title:Fault Detection & Diagnosis of Induction Machine with On-Line Parameter Programming Facility
Author Name:Sheikh Rafik Manihar Ahmed
Synopsis:
All instrumentation systems pertaining to industrial process controls as well as domestic application involves automatic fault finding facility. This facility detects the faulty condition of the system and draws the operator's attention towards it and enables to take suitable remedial actions to ensure proper operations of the system. The main purpose of all FDI methods is to monitor the system operations and in case of faults, accommodate the source of faults, so that timely corrective actions are taken. Fault Detection simply involves a decision, based on the monitoring data as to whether there is a fault or the system is running normally. Fault Isolation is then executed to identify the type and location of a fault after the fault detection has triggered an alarm so that corrective actions can be made. These two steps are known as Fault Detection and Isolation (FDI). Fault diagnosis is referred to as the combination of fault detection, identification and isolation. It is one such method of Annunciation in which the activation of visual or mechanical variable takes place when a removed switch or device has been activated as a result of fault in certain systems and an audio alarm may also be associated with annunciations. This FDI system is defined and the existing technique is to detect & isolate the fault with online parameter programming facility. The main advantage of the proposed approach of Control System based fault detection and isolation is its low cost. Low cost in terms of components used makes affordable in terms of easy handling and maintenance and various sensors can be used to give different types of input signals to circuit. An additional advantage is that the real time system still works when the host crashes, the matter that increases the reliability of the system & Data-logging facility can also be provided. A data-logger captures any measurement values which can be represented by a voltage. Nowadays, sensors and transducers are available for, practically, any physical quantity. The function of data-logger is to capture and store a specified number of sensor measurement values at predefined intervals and transfer the data, including date and time to a PC in the form of file.