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Rao A.P.C.,PVPSIT | Obulesh Y.P.,LBRCE | Babu C.S.,JNTUK
ARPN Journal of Engineering and Applied Sciences | Year: 2012

In the recent past, variable speed driving systems have sprouted in various small scale and large scale applications like automobile industries, domestic appliances etc. The usage of green and eco friendly electronics are greatly developed to save the energy consumption of various devices. This lead to the development in Brushless DC motor (BLDCM). The usage of BLDCM enhances various performance factors ranging from higher efficiency, higher torque in low-speed range, high power density, low maintenance and less noise than other motors. The BLDCM can act as an alternative for traditional motors like induction and switched reluctance motors. In this paper we present a mathematical model of BLDC motor and show the values of various technical parameters using MATLAB/SIMULINK. In this paper the simulation is carried out for 120 degree mode of operation. The test results show the performance of BLDCM which are highly acceptable. Finally a PID controller is applied for closed loop speed control under various loading conditions. © 2006-2012 Asian Research Publishing Network (ARPN).


Suman M.,VLITSVadlamudi | Rao M.V.G.,VLITSVadlamudi | Hanumaiah A.,PVPSIT | Rajesh K.,VLITSVadlamudi
International Journal on Electrical Engineering and Informatics | Year: 2016

Economic load dispatch is the process of allocating the required load demand between the available generators in power system while satisfying all units and system equality and inequality constraints. Economic Load Dispatch solutions are found by solving the conventional methods such as lambda iteration, Gradient search method, Linear Programming and Dynamic Programming while at the same minimizing fuel costs, but convergence is too slow, so in order to get fast convergence and accurate results we are using artificial neural network. Artificial neural network is well-known in the area of power systems. It is a very powerful solution algorithm because of its rapid convergence near the solution. This property is especially useful for power system applications because an initial guess near the solution is easily attained. In this paper a three generator system is considered and by using lambda iteration method Economic Load Dispatch is determined and 150 patterns for different loads will be derived from same method to train neural network. As it is too slow method, we proposed a soft computing based approach i.e. Back Propagation Neural Network (BPNN) for determining the optimal flow. This method provides fast and accurate results when compared with the conventional method. © 2016, School of Electrical Engineering and Informatics. All rights reserved.


Chinnaaiah M.C.,Padmasri Dr B v Raju Institute of Technology | Padma P.,Padmasri Dr B v Raju Institute of Technology | Savithri T.S.,Jawaharlal Nehru Technological University | Kumar P.R.,PVPSIT
2014 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2014 | Year: 2014

In the context of multi agent robot path planning, behavioral control exhibits its importance. This paper proposes the new scheme and hardware design for key elements of behavioral control between two mobile robots. Among two robots one is considered as the leader and other as follower. Leader (IR seeker) plans the path, it starts at S and reaches the Goal (G) based on the Intensity which is transmitted from the Goal (IR Beacon). Every instant of time it checks the follower behavior and takes appropriate action depending on its position. Follower simply follows the leader and checks the behavior of leader all the way. The mobile robots have been designed using ultra sonic sensors, FPGA and stepper motors. The control unit designed to perform autonomous navigation for both the rendezvous and leader-follower methodologies. The Design is developed using verilog and implemented on Spartan 6 FPGA robots, the simulation results have been shown and implementation done successfully. This design very much useful in industry environment. © 2014 IEEE.


Kavitha D.,PVPSIT | Haritha D.,k-Technology | Prasad V.K.,JNTUH College of Engineering | Murthy J.V.R.,k-Technology
2013 15th International Conference on Advanced Computing Technologies, ICACT 2013 | Year: 2013

Frequent subgraph mining is a fundamental task and widely explored in many research application domains such as computational biology, social network analysis, chemical structure analysis and web mining. The problem of frequent subgraph mining is a challenge as the number of possible subgraphs and verifying the isomorphism of the subgraphs is exponential problem. Canonical labeling is a standard approach to handle graph (subgraph) isomorphism that has high complexity and is NP-complete. In this paper we propose a systematic approach and formulate an algorithm to construct canonical label for a graph (subgraph) that uniquely identifies a graph based on the special invariant properties of graphs. Our experimental evaluation shows that this algorithm effectively addresses canonical labeling, isomorphism of graphs and reduces the computational cost. © 2013 IEEE.


Chinnaiah M.C.,BVRIT | Rajesh Kumar P.,PVPSIT | Satya Savithri T.,Jawaharlal Nehru Technological University
International Journal of Applied Engineering Research | Year: 2014

Robust path planning is one of the main skills which is essential in service robots. The obstacle avoidance challenges are mainly addressed in the navigation of robot. These challenges are addressed in this paper by developing hardware efficient algorithm. A special Embedded Architecture is developed to implement the algorithm. The effectiveness of the proposed algorithm is achieved by the excellence of control scheme for static as well as dynamic scenarios in indoor environment. This paper presents obstacle avoidance research for different convex polygon shapes in indoor environment. For robust path planning, SERVICE_ROBO is equipped with six pairs of ultrasonic sensors and NI SBRIO board (FPGA Spartan 3E XC3S2000). It is capable of sensing its surrounding environment considering all the sensed information to the knowledge of its location and environment. It is verified by conducting experiments with SERVICE_ROBO. © Research India Publications.


Chinnaiah M.C.,BVRIT | Savitri T.S.,Jawaharlal Nehru Technological University | Kumar P.R.,PVPSIT
2015 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2015 | Year: 2015

The Multi robotic system required behavioural control to perform successful navigation. The navigation of the multi robots is performed based on intensity signals from goal and both the robots are incorporated with IR seeker. The navigation starts at (S) and reaches to goal point (G) (IR Beacon). The obstacle avoidance mechanism is also performed by both leader and follower robots. Multi robots navigation in indoor environment is performed with centralization and distributed methods. This paper presents the challenges of multi robot how the leader and follower robots can change their mode of behavioural control by switching between centralization and decentralization methods with a novel approach using implicit communication. The proposed work is implemented in our laboratory and it is also hardware efficient. Robots are developed with minimal sensors like eight ultrasonic sensors, digital compass, RF Transceiver (PMODRF2) and Spartan 3e FPGA boards. © 2015 IEEE.


Hanumanta Rao P.S.,P.V.P.S.I.T. | Srinivasarao C.,P.V.P.S.I.T. | Diwakar G.,P.V.P.S.I.T. | Eswara Reddy C.,Sri Venkateswara University
International Journal of Applied Engineering Research | Year: 2011

Tungsten Carbide composite coatings have been the subject of interest in the area of nanomaterials due to the improvement in mechanical properties when grain sizes reduce to nanometer scale. In recent years, efforts are directed towards the synthesis of nanomaterials than to conventional materials because of their improved properties. Nanomaterials like nanocomposite coatings of Tungsten carbide-Cobalt and chromium have both high hardness and high toughness, and are widely applied in integrated printed circuit boards (PCBs), pins for dot-printers, cutting tools and other wear resistant parts. This motivated the present work to determine the surface roughness, surface topology and mechanical properties like Young's modulus and hardness of the Tungsten Carbide composite coatings. An Atomic Force Microscope (AFM) equipped with an indenter tip made of SiC is used to scratch the surface of Wc-Co-Cr (86-10-4%) and Wc-Co (88-12%) coatings deposited on an Aluminium substrate by a process called Nano scratching. During nanoscratching the samples are scratched and indented through few nanometers depth. The samples have been prepared by the detonation gun spray process. The properties of the coated samples are measured in contact mode by AFM. The investigation revealed that the addition of Co and Cr to Wc is not only changing the topology but also the mechanical properties. The measured values of Young's modulus and hardness of Wc-Co-Cr (86-10-4%) coated samples are in the range of 443.63 Pa and 41.37 Pa and of Wc-Co (88-12%) coated samples is 323.93 Pa and 30.23 Pa. © Research India Publications.

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