The paper describes the implementation of 2-D systolic array matrix multiplier architecture in RTL using one dimensional array to target the design on a appropriate FPGA/PROM/CPLD devices. It also discusses the digital realisation of a binary multiplier. The system development started with top-down planning approach and the blocks were designed using bottom-up implementation. The programs were written, simulated and synthesized using Mentor Graphics tools, ModelSim and Leonardo Spectrum. Results are presented in the paper. The design presented in the paper is an integral part of the higher level efficient systolic architecture.

Wind energy generation and its penetration with electric grid are increasing worldwide. Wind active power is always fluctuating due to intermittent nature of wind causing power quality problems and stability problems. This paper mainly focuses on grid connected wind energy conversion system for power quality improvement using efficient control scheme of unified power quality conditioner (UPQC) based on SRF theory and instantaneous power theory is presented to control active power output of the wind turbine, reactive power flow from grid side and regulation of the Voltage at PCC of the wind farm terminals. This paper also proposes the application of a fuzzy controller based UPQC for controlling the DC capacitor voltage under steady and transient conditions and compared with conventional PI Controller using MATLAB/SIMULINK environment. Simulation results show that the effectiveness of the proposed compensation strategy for the enhancement of power quality and wind farm stability.

This paper proposes a swarm intelligence method that yields optimal Proportional-Integral-Derivative (PID) Controller parameters of a power system stabilizer (PSS) in a single machine infinite bus system. Power systems will have low frequency oscillations when it is disturbed. Without adequate damping, the oscillations may sustain and system becomes unstable. To damp these oscillations power system stabilizers are used. In this paper, the development of an intelligent controller in conjunction with power system stabilizer is proposed in order to maintain stability. The application of the PID controller with PSS is investigated by simulation studies for a single synchronous machine connected with infinite bus system. In this paper, PID controller is developed to control the system based on simulations. Tuning of PID parameters is optimized by using Trial & error method, Z-N method and Particle Swarm Optimization technique. These systems are implemented in MATLAB Simulink environment to analyze the performance of a synchronous machine under various load conditions. Performance parameters such as speed deviation, field voltage, rotor angle and load angle of synchronous machines for different optimization techniques are compared. The performance of the controller and synchronous machine are analyzed by comparing the simulation results.

The purpose of this work is to study about work of shunt active power filter in reduction of current distortion and for power quality improvement in electrical systems. In this paper, based on the analysis and modeling of the shunt active power filter with close-loop control, a feed forward compensation path of load current is proposed to improve the dynamic performance of the APF. The two H-bridge cascaded inverter is selected for the active power filter. A justification for topology choosing and corresponding system control method is given. Furthermore, the global framework and operation principle of the proposed active power filter are presented in detail. Simulation results verify the feasibility of the proposed active power filter and the high performance of the control strategy during steady-state and dynamic operations with PI control technique.

A new Bi-directional DC-DC converter is prescribed in this paper. The circuit design of the proposed converter is unmingled and easy to control. A de-coupled inductor is used in this proposed converter with the same number of winding turns on primary and secondary sides. In step-up mode, the primary and secondary windings of the coupled inductor are operated in parallel charging and series discharging to achieve high step-up voltage gain. In step-down mode, the primary and secondary windings of the coupled inductor are operated in series charging and parallel discharging to achieve high step-down voltage gain. Thus, the proposed converter has higher step-up and step-down voltage gains than the conventional bidirectional dc–dc boost/buck converter. The rated voltage of the proposed converter is lower than the conventional converter. The operating principle and steady-state analysis are discussed in detail.

The aim of this work is to develop a system hardware that can be used for analysis of orthostatic fluid shift by postal changes. The methodology includes an injection of 800uA. A. C. current in to the body through proper placement of tetra polar electrode system .Four surface electrodes are place either ipsilaterally or contra laterally on the right hand and right foot respectively. Current elect roads are placed at the extreme end of body segment .The induced voltage (v) is measured by voltage electrode s placed in between current electrodes on the body. That induced voltage depends upon position of subject either in supine, standing or sitting which is related to gravitational forces. The total impedance(z) of the body segment is calculated by measuring the amplitude of induced voltage (v) and injected current (I) Resistive (R) and reactive (x) component are determined by measuring phase angle (Ø) between injected between (I) and induced voltage (v) The conductivity of body segment depend upon the fat and body fluid. The fat acts as an insulator and other mass acts as partially conductor depending on electrolyte contents. Therefore resistance (R) related to fat free mass and reactance (x) related to fat mass. These resistance and reactance changes with respect to postural changes.8 We developed system hardware, which includes sine wave generator using microcontroller, power supply, constant current sours, isolation transformer, comparator and phase sensitive detector. The phase sensitive detector consists of an analog multiplier and low pass filter. The output of this is proportional to a cosine function of phase angle 8.The resistive (R) and reactive (X) component of impendence (z) are measured for different Subject of different age height weight. Resistance (R) and reactance(x) analysis can be done with respect to different postural changes and time which show that how extra cellular fluid and intracellular fluid varies along with impedance to improve the reliability of bio impedance data.

In this paper an embedded real time video monitoring system based on high performance processor SAMSUNG S36410 ARM11 processor core is build and expanding peripheral devices using embedded Linux as the operating system. Today monitoring systems are either webcam based or simple motion detection based. Here we have interfaced both webcam and PIR sensor into the embedded system so that the user can get an immediate alert message.V4L programming interface for USB camera to capture image information and the board then transmits the processed captured video information using wireless network, which will be collected and monitored at client side using wireless network connection through the wireless device. The access through the internet is greatly an expanded scope of monitoring.

We will presents in this paper the design and analysis of multi type of controllers (PI, FUZZY, NEURO- FUZZY controller based on Adaptive Neuro-Fuzzy Inference System (ANFIS)), and implement fuzzy controller practically by using programmable logic control (PLC) via OPC server for Load frequency control of an hybrid system, this hybrid system consist of an isolated wind-micro hydro-diesel hybrid power system, to regulate the frequency deviation and power deviations. Due to the sudden load changes and intermittent wind power, large frequency fluctuation problem can occur. This newly developed control strategy combines the advantage of neural networks and fuzzy control and has simple structure that is easy to implement. So, in order to keep system performance near its optimum, it is desirable to track the operating conditions and use updated parameters to control the system. Simulations of the proposed neural-fuzzy controller in hybrid power system with different load disturbances are performed. Also, a conventional proportional Integral (PI) controller and a fuzzy logic (FL) controller were designed separately to control the same hybrid power system for the performance comparison. The performance of the proposed controller is verified from simulations and comparisons. Simulation results show that the performance of the proposed of Neuro-Fuzzy Controller damps out the frequency deviation and attains the steady state value with less settling time. The proposed of Neuro-Fuzzy controller provides best control performance over a wide range of operating conditions , also in this paper we will simulate the hybrid system using matlab and make data exchange between matlab and PLC using OPC server.

The paper presents a scheme that is used to enhance the capacity of the PV cell along with standalone battery used to feed the induction motor drive. The power capacity is increased by using 9-level inverter and its is almost equal for the cases of Neutral Point Clamped Multi level inverter and Cascade –H –Bridge inverter. Since the power level remains same for the above mentioned topologies, here main focus is on the THD content for the different topologies.