Informatics Publishing Limited

S. Leones Sherwin Vimalraj ¹, P. Subbaiah ¹

Affiliations
1 Electronics and Communication Department, Dr. M.G.R. Educational and Research Institute, Chennai, IN

Abstract

In this work, auto scanning range of IP address to detect node in different communication schemes such as synchronous, asynchronous and slotted time communication, suited for Software Defined Radio (SDR) is discussed. A packet switched Network-on-Chip (NoC) that applies the dynamic routing protocol is realized, where NoC supports the Globally-Asynchronous Locally- Synchronous (GALS) communication scheme by applying both synchronous and asynchronous designs wherever appropriate in the optimum sense. This paper also provides the performance comparison among the different communication schemes in Software defined Radio, also the relationship between the density of overlay nodes and its active participation is studied using the proposed weighted message complexity model. These results will help to prove the flexible nature of SDR, handle different communication schemes and different trade-offs between data rate and mobility.

Keywords

Network on Chip, IP Scanning, Dynamic Routing, Synchronous Communication, Asynchronous Communication.

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Podugu Srinivasarao ¹, P. Subbaiah ²

Affiliations
1 ECE Department, Dr. M.G.R. University, Chennai, Tamilnadu, IN
2 E&I Department, Dr. M.G.R. University, Chennai, Tamilnadu, IN

Abstract

In a multivariable process mathematical models of the physical system have gained importance due to the complex interactions in the system. All the parameters used in a model cannot be determined accurately. However, such processes are very often available in power plants, chemical plant and many other fields. The major problem in a multivariable process is that loop interaction can arise and cause difficulties in feedback control design. This problem can be solved using centralized (like LQR, multivariable predictive control, IMC, fuzzy logic controller…) or decentralized controllers. The decentralized control is widely used in industrial plant. One of the decentralized techniques is decoupled method, which used to eliminate the interaction of diagonal loops and can be minimized an MIMO into SISO system. The basic and well known method for MIMO system is a two input two output (TITO) system.
In this paper, a new decoupler method with auto tuning of PID controller for quadruple tank process is proposed. It consist of four inter connected water tanks and two pumps as shown in figure 1. The parameters of PID controller are designed based on stability and speed of response, which are defined in terms of the damping factor and settling times. When damping factor and settling time of the controlled system has been selected the equivalent initial P, I, D values is obtained.

Keywords

PID Controllers, MIMO System, Auto Tuning, Quadruple Tank Process.

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Ramesh Palakeerthi ¹, P. Subbaiah ²

Affiliations
1 Electrical and Electronics Engineering Department, Dr. M.G.R. University, Chennai, Tamilnadu, IN
2 Department of Electronics and Instrumentation, Dr. M.G.R. University, Chennai, Tamilnadu, IN

Abstract

Switched reluctance motor (SRM) drives are used in various applications due to their simplicity, reliability and low cost schemes. It required rotor position feedback to operate and used for high concern in many applications. Thus, a major consideration is the robustness of position estimation schemes when sensorless SRM drive control is employed. The control of SRM using a tuned Fuzzy Logic Controller (FLC) along with neural estimator is done in this paper. The structure hierarchy and computational complexity of the controller is simplified by reducing the number of fuzzy sets in the function without losing the system performance. It uses the FLC for controlling the SRM speed. The FLC performs a PI-like control strategy, giving the current reference variation based on speed error and its change. In this work, we considered the speed variations with FLC and neural estimated rotor angle corresponding to load variables in response to changes in set points.

Keywords

Switched Reluctance Motor (SRM), Fuzzy Logic Controller (FLC), Non Linear Analysis (NIA), and Artificial Neural Network (ANN).

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V. Ramesh ¹, P. Subbaiah ², K. Sangeetha Supriya ³

Affiliations
1 Sathyabama University, Chennai, IN
2 Veerabrahmendra Institute of Technology & Sciences, Badvel, Kadapa Dt, AP, IN
3 Dept of IT, BVRIT, Narsapur, AP, IN

Abstract

Many research works have already been done for congestion control and resource management in ATM networks using static and dynamic algorithms. However, no comprehensive scheme has been suggested, which can claim optimized the resource allocations fulfilling the requirements of quality of services (QoS) for existing and incoming sources. The paper suggests a new approach, which would make the dynamic allocation of resources by controlling the input rate (λ), output/server rate (μ) and buffer size (χ) individually or in conjunction. The newly proposed approach with dynamical allocation of resources is much more comprehensive in nature and claims a shorter convergence time than the other previously suggested schemes based on similar dynamic allocation principle. In this paper we describe an Adaptive Rate Control (ARC) implemented to improve the performance of high-speed network to handle burst traffic by guaranteeing the cell loss ratio (CLR) for all cell streams. First, the cases in which a Tahoe, Reno, New Reno, SACK and Plain schemes are applicable in peak-cell-rate (PCR) are discussed. The ARC improves the performance by regulating the increment (up) and the decrease (down) of window size (flow control). Incoming traffic rate, number of cell drop, preset size of the window and estimated delay time are taken into account for this regulation. Simulations are used to investigate how Tahoe, Reno, New Reno, SACK and Plain can conduct, as congestion existed. Then we compare these results from four schemes to the “Plain” scheme (no flow control application) and to the proposed ARC. By altering windows size for the mentioned six schemes, we can obtain the supportive results.

Keywords

ARC, Tahoe, Reno, New Reno, SACK, Sliding Windows, ATM network, Quality of Services (QoS), and Comprehensive Dynamic Control Algorithm.

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