Privacy Preserving Physical Layer Authentication Scheme for LBS based Wireless Networks

With the fast development in services related to localisation, location-based service (LBS) gains more importance amongst all the mobile wireless services. To avail the service in the LBS system, information about the location and identity of the user has to be provided to the service provider. The service provider authenticates the user based on their identity and location before providing services. In general, sharing location information and preserving the user’s privacy is a highly challenging task in conventional authentication techniques. To resolve these challenges in authenticating the users, retaining users’ privacy, a new SVD (singular value decomposition) based Privacy Preserved Location Authentication Scheme (SPPLAS) has been proposed. In this proposed method, physical layer signatures such as channel state information (CSI) and carrier frequency offset (CFO) are used for generating secret key required for encrypting the user’s location and identity information, and thus encrypted user’s information is sent to service provider for authentication. Secret key is generated by applying SVD on CSI vector. The proposed scheme aids in authenticating the user through location information while protecting the user’s privacy. The performance of the proposed method is evaluated in terms of bit mismatch, leakage and bit error rate performance of receiver and adversary. The simulation results show that the proposed scheme achieves better robustness and security than the existing location-based authentication techniques

Simulation and Analysis of Electro Mechanical Actuator with Position Control

In recent times, Electro-Mechanical Actuator (EMA) is widely employed in various aerospace applications because of its compactness, ease of maintenance, and cost efficiency. It attracts most of the researcher for simulation and performance analysis. It is very much important to study its control system behaviour. In general, EMA requires, three loop cascade control, but for aerospace application two loop cascade control is used for speed and position controls due to dynamic load changing requirement. Most research efforts on EMA system has used a transfer function model of all its subsystems. Nevertheless, this technique does not yield complete outcomes for analysing its performance. To analyse its performance and characteristics in dynamic condition, an experimental model is essential. In addition, this model needs to cater for analysing performance of different capacity EMA. The primary goal of this work is to simulate unique EMA model with position control using a practical data and analyse its performance. In this design, EMA is modelled by three-phase Brushless Direct Current (BLDC) motor, six-step commutation logic, a speed sensor (Tacho) and a position sensor using Linear Variable Differential Transformer (LVDT). Position and speed controls are handled by Proportional (P) and Proportional plus Integral (PI) controllers respectively. The process reaction curve method is used to tune the controllers. This tuning approach is adequate to enable accurate and robust speed and position control. This paper focus on the simulation and performance analysis of a practical EMA system with position and speed controls in matlab-simulink. The performance analysis results shows that simulated model characteristic is close to physical system and reliable

MATHEMATICAL MODELLING AND SIMULATION OF GRID CONNECTED SOLAR PHOTOVOLTAIC SYSTEM

This paper presents the mathematical modeling of three-phase grid connected inverter fed by Solar Photovoltaic (SPV) system with Maximum Power Point Tracking (MPPT). Analysis has been carried out to choose the proper modulation index for maximum output for three-phase inverter. With this modulation index, the variation of the active and reactive power for different loads has been presented along with major parameters like Transfer ratio and Efficiency. Also the Real and Reactive power output of the SPV has been measured with various solar Radiation levels

APPLICATION OF INTELLIGENT CONTROL TECHNIQUES FOR GLOBAL MAXIMUM POWER POINT TRACKING OF SOLAR PHOTOVOLTAIC SYSTEM

ABSTRACT In this paper, a fuzzy logic based feedforward voltage method of global maximum power point (GMPP) tracking scheme is developed for the boost converter supplied Solar Photovoltaic (SPV) system. With the developed realistic model of SPV array and boost converter, the proposed controller has been simulated. The reference voltage is obtained from Artificial Neural Network (ANN). The ANN was trained for optimum values computed from Particle Swarm Optimization (PSO) technique. Fuzzy Logic Controller (FLC) is used to find the error in voltage and the output from FLC is fed to Pulse Width Modulator (PWM) to control the boost converter. Comparison studies have been made for Proportional plus Integral (PI) and FLC. From the simulation results, it is observed that the feedforward control strategy with fuzzy controller reduces error and it is a promising one with reference to GMPP tracking. Furthermore, it does not require any tuning of the parameters, unlike conventional PI controller, wherein the controller gain parameters needs to be changed when solar insolation changes

Simulation Methodology for Control of PV- Wind Hybrid System

ABSTRACT:With the increasing power demand the need for generation of useful power is important. Renewable energy generation is one efficient method for producing useful power. With proper power flow control, the efficiency of power transfer increases. This paper provides an efficient power control technique namely the active-reactive power control and dump power control along with auto master-slave control. This paper also provides more efficient control compared to the paper in reference. It can be used in isolated islands as the power line is flexible, so more number of power sources can interconnected in the system there by more power can be generated. KEYWORDS:Hybrid I.INTRODUCTION Natural energy based power generation systems are commonly equipped with storage batteries, to regulate output fluctuations resulting from natural energy variations. Therefore, it is necessary to prevent battery overcharging There aredifferent ways by which the power flow can be controlled; one best method is the active-reactive power control. The active-reactive power control uses phase locked loop (PLL) and parallel operation of inverters for controlling the active and the reactive power of the system. PLL keeps the entire system in a locked state at a single frequency there by controlling the active power of the system. So use of PLL controls the active power efficiently [9]

Investigation on Fuzzy Logic Based Centralized Control in Four-Port SEPIC/ZETA Bidirectional Converter for Photovoltaic Applications

In this paper, a new four-port DC-DC converter topology is proposed to interface renewable energy sources and the load along with the energy storage device. The proposed four-port SEPIC/ZETA bidirectional converter (FP-SEPIC/ZETA BDC) converter comprises an isolated output port with two unidirectional and one bidirectional input ports. This converter topology is obtained by the fusion of SEPIC/ZETA BDC and full-bridge converter. This converter topology ensures the non-reversal of output voltage hence it is preferred mostly for battery charging applications. In this work, photovoltaic (PV) source is considered and the power balance in the system is achieved by means of distributed maximum power point tracking (DMPPT) in the PV ports. The centralized controller is implemented using fuzzy logic controller (FLC) and the performance is compared with conventional proportional integral (PI) controller. The results offer useful information to obtain the desired output under line and load regulations. Experimental results are also provided to validate the simulation results

Comparative Analysis of Maximum Power Point Tracking Controllers under Partial Shaded Conditions in a Photovoltaic System

Mismatching effects due to partial shaded conditions are the major drawbacks existing in today’s photovoltaic (PV) systems. These mismatch effects are greatly reduced in distributed PV system architecture where each panel is effectively decoupled from its neighboring panel. To obtain the optimal operation of the PV panels, maximum power point tracking (MPPT) techniques are used. In partial shaded conditions, detecting the maximum operating point is difficult as the characteristic curves are complex with multiple peaks. In this paper, a neural network control technique is employed for MPPT. Detailed analyses were carried out on MPPT controllers in centralized and distributed architecture under partial shaded environments. The efficiency of the MPPT controllers and the effectiveness of the proposed control technique under partial shaded environments was examined using MATLAB software. The results were validated through experimentation

A Comprehensive Review and Analysis of Solar Photovoltaic Array Configurations under Partial Shaded Conditions

The aim of this paper is to investigate the effects of partial shading on energy output of different Solar Photovoltaic Array (SPVA) configurations and to mitigate the losses faced in Solar Photovoltaic (SPV) systems by incorporating bypass diodes. Owing to the practical difficulty of conducting experiments on varied array sizes, a generalized MATLAB M-code has been developed for any required array size, configuration, shading patterns, and number of bypass diodes. The proposed model which also includes the insolation-dependent shunt resistance can provide sufficient degree of precision without increasing the computational effort. All the configurations have been analyzed and comparative study is made for different random shading patterns to determine the configuration less susceptible to power losses under partial shading. Inferences have been drawn by testing several shading scenarios