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- SourceAvailable from: Kaliamoorthy Mylsamy[Show abstract] [Hide abstract]
ABSTRACT: This paper deals with programmable LPF (low pass filter) based stator flux estimation for speed sensorless induction motor drives. This algorithm is proposed to solve the dc drift problem and errors due to stator resistance variation associated with the ideal integrator and a LPF. This algorithm has pole/gain compensator to estimate stator flux over wide speed range. Accordingly, the severity of drift problem is much reduced and the stator flux is exactly estimated in the wide speed range. The validity of the Programmable LPF algorithm is verified by rotor flux oriented speed sensorless vector control of a three phase induction motor through simulation and the simulated results are verified in an TMS320F2812 DSP processor.Power Electronics, 2006. IICPE 2006. India International Conference on; 01/2007
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ABSTRACT: Recent research on wireless communication systems uses multiple antennas at both transmitters and receiver. It offers the possibility of wireless communication at higher data rates compared to single antenna systems. The information capacity of these multiple-input multiple-output (MIMO) channels grows linearly with smaller number of transmitter and receiver antennas in rich scattering environment. Some special detection algorithms have been proposed in order to exploit the high spectral capacity offered by MIMO channels. This magnitude of spectral efficiency is exploited using a wireless communication architecture known as the VBLAST (Vertical Bell Laboratory Layered Space Time). The conventional detection algorithm combined with V-BLAST offers better error performance with still has low complexity. V-BLAST has been implemented in real time laboratory. Using this, the spectral efficiencies and error rate is simulated. Wireless spectral efficiencies of this magnitude are unprecedented, and are unattainable using traditional techniques.
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ABSTRACT: Controlling large scale distributed system is very difficult for the reliable operations of a system. This is because of two reasons. One, wide fluctuations in the availability of idle processor cycles. Second, communication latencies over multiple administrative domains. So, the quality of service in executing grid applications becomes a challenge. With such fluctuations there is no certainty when a grid task will complete its execution time and therefore become unpredictable. To overcome this problem, grid computing technology is used. More specifically a data grid is used to aggregate the unused storage space into a much large virtual data store. This is further configured to achieve improved performance and reliability. Thus it has the possibility of substantially increasing the efficiency of resource usage. A three-tier architecture of Distributed Computing Grid Model (DCGM) is brought forward. It acts as the infrastructure of multi-site scheduling environment in which Distributed scheduling server is utilized. First Come First Serve (FCFS) algorithm is implemented. Thus the applications of splitting the numbers depending upon the CPU idle rate is established and thereby reducing the execution time.
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