Design and Analysis of Improved Mountain Gazelle Optimization Tuned PID and FOPID Controllers for PV MPPT System
Performance Analysis of Power System Dynamics with Facts Controllers: Optimal Placement and Impact of SSSC and STATCOM
Empowering Hybrid EVS with Bidirectional DC - DC Converter for Seamless V2G and G2V Integration
Solar Wireless Charging of Battery in Electrical Vehicle
Advancements in Multilevel Inverter Technologies for Photovoltaic-Z-Source Based EV Applications: A Comprehensive Analysis and Future Directions
Design and Development Of Paddy Cutter Using Solar Energy
Design Of Double-Input DC-DC Converter (DIC) Solar PV-Battery Hybrid Power System
Comparison of Harmonics, THD and Temperature Analysis of 3-Phase Induction Motor with Normal Inverter Drive and 5-Level DCMI Drive
Application of Whale Optimization Algorithm for Distribution Feeder Reconfiguration
Detection and Classification of Single Line to Ground Boundary Faults in a 138 kV Six Phase Transmission Line using Hilbert Huang Transform
The Modeling of Analogue Systems through an Object-Oriented Design Method
Circuit Design Techniques for Electromagnetic Compliance
A Technological Forecast for Growth in Solid-State Commercial Lighting using LED Devices
Testing of Analogue Design Rules Using a Digital Interface
Simulation and Transient Analysis of PWM Inverter Fed Squirrel Cage Induction Motor Drives
This paper reports on work done in extending an object-oriented co-design method to include analogue hardware. This method is based on the development of a set of dynamic simulation models. These models support the development of the system by providing, initially, an uncommitted, behavioural model, which has evolved into a committed model that specifies the implementation of this system. During the commitment process, parts of the uncommitted logical model are committed to a particular implementation technology. Thus the notation used, and the simulation strategy, must support the evaluation of subsystems implemented as software, digital or analogue hardware. This paper focuses on the requirements for modeling hardware a hybrid system model; i.e.
• A notation that supports the representation evaluation of analogue hardware.
• The simulation strategy required to incorporate models of analogue subsystems.
• The ability to carry forward information contained in the models to implementation.
This presents a small, yet pertinent, example of such a model. This is a wholly analogue model of a Carver-Mead type neural system.
This paper discusses an 8MHz square wave oscillator used for a clock signal of the digital core of a mixed signal integrated circuit (IC). The frequency is determined by a bias current that charges a capacitor until it triggers a comparator with a voltage reference as the second input. A low drop out (LDO) voltage regulator is used to supply the oscillator so that variations in the battery voltage do not affect the oscillator. The circuits have been designed and taped out and the measured results are closed to the SPICE simulated values. The oscillator has low power consumption of 165 µW which is very attractive for a general handheld device that is operated off of a battery.
A modified bias-dependent Cann’s model and performed IC design and hardware experiments to study the linearization of a highly-efficient monolithic quasi-class E SiGe power amplifier (PA) IC using both Envelope-Tracking (ET) and Envelope-Elimination-and-Restoration (EER) techniques. Our PA behavior model fits the measured SiGe PA IC data very well across a wide range of bias and supply voltages. Both measurement and simulations show that the ET-linearized PA system is significantly less sensitive to the timing misalignment between the amplitude and the RF signal path than the EER-linearized PA system. Our experimental results also prove that ET successfully linearized the SiGe PA to pass the stringent EDGE transmit mask at 900MHz, while EER could not. Simulations based on our PA behavior model predict that the optimal timing alignment for ET linearization can be achieved at PA base bias voltage Vbb=0.55-0.6V, which is consistent with our measurement results as well.
This paper delineates a two-stage methodology of network reconfiguration for the compensated network. A two-stage methodology is used to reduce the losses and to improve the voltage profile of the balanced radial distribution networks. In the first stage, capacitors are placed optimally for the reactive power compensation of the original network. Fuzzy approach is used to find the optimal capacitor locations and analytical method is used to find the sizes of capacitors. In the second stage, an improved fuzzy multi-objective algorithm is used for the network reconfiguration of the compensated network. The proposed method is tested on 33-bus and 69-bus test systems and the results are presented.
Reactive Power Dispatch (RPD) and voltage control of power systems is one of the important tasks in the operation and control of the power system. RPD problem can be formulated as a non-linear constrained optimization problem. This paper presents a Genetic Algorithm (GA) approach for solving the reactive power dispatch problem including the line flow constraint. Minimization of voltage Instability with FACTS and without FACTS devices is the objective of this reactive power optimization problem. The proposed algorithm has been applied to find the optimal reactive power control variables in IEEE 30 system in which the control of bus voltages, tap position of transformers and reactive power sources are involved to minimize the transmission loss in addition to improving the sum of square of load bus voltage stability indices. The simulation results are promising and show the effectiveness of the proposed RPD approach in the presence of FACTS device.
This paper presents a novel RF Built-in-Self-Test (RF-BiST) targeting to replace the traditionally expensive and time-consuming RF parametric phase error test on a GSM Digital Radio Processor (DRP) radio transceiver. The verification of the RF BiST in a production environment and a comparison of the internal BiST with two alternative external tests is presented, validating the RF BiST as an acceptable test method for determining the phase error of GSM devices. The results illustrate that there are great opportunities in reduction of test time and costs by moving to the internal digital method of the presented BiST for testing RF/analog IC products.
This paper presents an optimal design of poly-phase induction motor using Improved Particle Swarm Optimization i.e. Quadratic Interpolation based Particle Swarm Optimization (QI-PSO) proposed in [21]. The optimization algorithm considers the cost of active materials, efficiency, starting torque, and temperature rise as objective function (which are considered separately) and nine performance related items as constraints. The QI-PSO algorithm was implemented on two test motors and their results are compared with the Simulated Annealing (SA) technique, Constrained Rosen Brock Method, Standard Particle Swarm Optimization (SPSO), and normal design. From the test results QIPSO gave better results and more suitable to motor’s design optimization. The effects of unbalanced stator voltage in the motor torque, temperature rise and efficiency are also tabulated.
In this paper duty ratio based space vector modulation for current source inverter fed induction motor drive is discussed. The control system of the induction motor is realized using direct vector control including field weakening region. Space vector modulation is the preferred PWM method for three phase current source inverters. A simplified SVM implementation that is based on calculation of duty ratio required to synthesize the reference current. The steady state and dynamic results of the proposed strategy are presented. The proposed scheme has the advantage of space vector modulation with fast dynamic response.