Informatics Publishing Limited

K. Pavankumar Reddy ¹, M. Venu Gopala Rao ¹

Affiliations
1 Department of EEE, K L University, Vaddaswaram, Guntur - 522502, Andhra Pradesh, IN

Abstract

The main objective of this paper is to enhance the power transfer capability of grid interfaced hybrid generation system. Generally, this hybrid system is a combination of solar and wind energy systems. In order to get maximum and constant output power from these renewable energy systems at any instant of time, this paper proposes the concept of maximum power tracking techniques. The main concept of this maximum power point tracking controller is used for controlling the Direct Current (DC) to DC boost converter. Finally, the performance of this Maximum Power Point Tracking (MPPT) based Hybrid system is observed by simulating using Matlab/Simulink.

Keywords

MPPT Technique, Solar Energy System, Wind Turbine System

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M. Venu Gopala Rao ¹, M. Babita Jain ¹, Purvi Shukla ¹

Affiliations
1 Raipur Institute of Technology, Raipur, IN

Abstract

In artificial intelligence research, agent-based systems technology has been hailed as a new paradigm for conceptualizing, designing, and implementing software systems. Agents are sophisticated computer programs that act autonomously on behalf of their users, across open and distributed environments, to solve a growing number of complex problems. Increasingly, however, applications require multiple agents that can work together. A multi-agent system (MAS) is a loosely coupled network of software agents that interact to solve problems that are beyond the individual capacities or knowledge of each problem solver. There are many such real time applications which are very complex and beyond the scope of individual problem solver such as computer games simulation, population explosion problem, simulation of share market trading, aircraft maintenance, electronic book buying coalitions, military demining, wireless collaboration and communications, supply-chain management, joint mission planning and electronic commerce (online trading). The paper aims at developing a agent based architecture for supporting online trading using the multi agent systems platform. The present work has successfully implemented one such agent based environment for online fruit trading comprising of broadly three agents. This case study describes the implementation of a sample marketplace application called 'Fruit Market'. The objective is to enable the market participants to electronically trade tasty fruit over a network via their agents. Once we have a specification, the desired system can be situated within a domain that contains similar features and challenges. As the agents will exhibit trading behavior it is obvious that this application is best situated within the Multi-Agent Trading domain. This domain contains two role models: Distributed Marketplace and Institutional Auction, hence the next step is to consider which roles from the domain's role models best fit our specification. The details of selection of roles and responsibilities and implementation of agent architecture are discussed in the paper.

Keywords

Artificial Intelligence, Multi Agent Systems, Agent, and Agent Based Simulation.

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M. Venu Gopala Rao ¹, M. Babita Jain ¹

Affiliations
1 Raipur Institute of Technology, Raipur, IN

Abstract

As the market becomes more complex with innumerable parameters changing the complexion and making it dynamic, an absolute decision-making model turns out to be obsolete every time one seeks to get advice from it. To this effect, a dynamic decision-making model is the need of the hour which would consider every conceivable change resultant of every probable effect of any one of the known parameters. It is a general perception that remedial measures to large extent can be directly found from the decision analysis of the causes investigated. Instead of having an instant temporary remedial measure for defects, a concurrent engineering model is proposed and developed starting from defect interpretation where critical distinction of various NDT methods is made and a suitable NDT method is suggested to suit the requirement along with identifying the defect from the huge database in which types of defects and its characteristic appearances are stored. It indeed identifies the defect based iterative approach leading to systematic investigation into possible causes, there by setting up the base for remedial measures taking into consideration primarily from the material selection, processing and heat treatment thus suggesting optimum design of gating and risering, pattern in case of castings and forging dies, flash and gutter in case of forgings. Of all the processes heat treatment in general and, tempering, hardening in particular has been short listed for detailed investigation. These processes have been modeled mathematically for variations of various mechanical properties by the use of practical data. The results in the form of equations and graphs have been documented in the manuscript and were also incorporated in the automated format.

Keywords

Concurrent Engineering, Quality Control, Defect Interpretation, Defect Analysis.

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T.J.V. Subrahmanyeswara Rao ¹, M. Venu Gopala Rao ¹, T. V. N. L. Aswini ¹, K. Asha ¹, S. Bhanu Harika ¹

Affiliations
1 Department of ECE, KL University, Vaddeswaram, Guntur, Andhra Pradesh- 522502, IN

Abstract

Background/Objectives: The popularity of Wireless technologies, for applications that urges high bandwidth, increases the demand of Radio frequency (RF) spectrum which leads to scarsity in the spectrum resources. Hence it is required to sense the spectrum of a wideband signal at low sampling rates compared to the Nyquist rate. Methods/Statistical analysis: If the wide band signal is Sparse in frequency domain, then it is used to get over the problem of high sampling rates under the compressive sensing framework. Two different efficient schemes called Modulated Wideband Converter (MWC) and Asynchronous Multi-rate (AMR) are proposed here for wideband spectrum sensing at sub-Nyquist rates. The key features of these methods are also compared with the traditional sub-Nyquist sampling approach called Multi-Coset (MC). Findings: The MC sampling is capable of sampling at different time offsets, but unable to poses channel synchronisation. In MWC sampling, the sparse multiband signal is multiplied by a periodic waveform to shift the spectral components of the band of interest to the origin, then filtered and sampled at low rate. This also makes the computational time to reduce greatly. In AMR sampling, the sparse signal is under sampled at different sampling frequencies to produce sample sets with different aliasing spectra. Later these spectra are compared on a common frequency grid to detect the active bands. This mechanism takes fewer samples there by reduces thee computational cost. The simulation results exhibit these advantages over the traditional sampling techniques for wide band spectrum sensing. Application/Improvements: The trade-off between the selection of MWC for less computational time and MR for low complexity in design makes these sub Nyquist schemes suitable for wide band spectrum sensing in cognitive radio like applications.

Keywords

Cognitive Radio, Compressive Sensing, Sensing Algorithms, Wideband Signal

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B. Jyothi ¹, M. Venu Gopala Rao ¹, T. Karthik ¹

Affiliations
1 EEE Department, KL University, Greenfields, Vaddeswaram, Guntur (District) - 522502, Andhra Pradesh, IN

Abstract

Output total harmonic distortion of the five phase inverter topologies and corresponding dynamic performance of five phase induction motor are investigated in this paper. Four types of five phase inverter topologies are simulated by using direct pulse and sinusoidal pulse width modulation methods for the inverter control. Arbitrary reference frame method has been employed to model a five phase induction motor. Special transformer connection can be used to transform the available three phase grid supply to five phases but it requires more space, frequent maintenance and high cost so inverters are preferred. Four types of five phase inverter topologies and induction motor modeling are implemented by MATLAB/Simulink. These multi-phases (more than three phases) find applications where reliability and high output power are main concern for example: ship propulsion systems, hybrid electric vehicles.

Keywords

Diode Clamped Multilevel Inverter, Five Phase Induction Motor, Five Phase Supply, Reversing Voltage Multilevel Inverter, Switching Sequence, SPWM Technique, Ten-Step VSI, Total Harmonic Distortion, 1800 Pulses.

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Satyanarayana Vanapalli ¹, M. Venu Gopala Rao ²

Affiliations
1 Research Scholar, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur (Dt), A.P, IN
2 Professor and HoD, EEE Dept, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, A.P, IN

Abstract

Power Quality (PQ) has become one of the major issues of concern for the distribution utilities. Custom power devices like power conditioners, Active Line controllers and reactive power compensator are gaining importance day by day in maintaining PQ Standards. The reliability of any PQ conditioning devices depends on the quality of control method used. This paper mainly focuses on comparison of dynamic response of a Unified Power Quality Conditioner (UPQC) for current harmonic elimination in a distribution system when controlled with a Fuzzy Logic Controller (FLC), Artificial Neural Network based Controller and Adaptive Neuro Fuzzy Controller. The fundamental and harmonic components of supply currents are extracted using an extended Phase Locked Loop (EPLL). The UPQC is realized with the help two back to back connected Voltage Source Converters (VSC). Simulation results prove the effectiveness of the control schemes when the load is non-linear in nature. Simulation results presented depict the dynamic performance of the system under study in steady state conditions.

Keywords

Unified Power Quality Conditioner (UPQC), Dynamic performance, Fuzzy Logic Controller, Adaptive Neuro-Fuzzy Inference System (ANFIS), Power Quality (PQ), Voltage Sag / Swell, Current Harmonics

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