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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.

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.

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).

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