This document discusses modeling and control of low harmonic rectifiers. It provides expressions for controller duty cycle, DC load current, and converter efficiency based on an averaged model. It also describes several controller schemes including average current control, feedforward control, and current programmed control. Design examples are provided to illustrate calculation of key parameters like output voltage and MOSFET on-resistance needed to achieve a given efficiency.
Speed Control of DC Motor using PID FUZZY Controller.Binod kafle
speed control of separately excited dc motor using fuzzy PID controller(FLC).In this research, speed of separately excited DC motor is controlled at 1500 RPM using two approaches i.e. PSO PID and fuzzy logic based PID controller. A mathematical model of system is needed for PSO PID while knowledge based rules obtained via experiment required for fuzzy PID controller . The conventional PID controller parameters are obtained using PSO optimization technique. The simulation is performed using the in-built toolbox from MATLAB and output response are analyzed. The tuning of fuzzy PID uses simple approach based on the rules proposed and membership function of the fuzzy variables. Design specification of fuzzy logic controller (FLC) requires fuzzification, rule list and defuzzification process. The FLC has two input and three output. Inputs are the speed error and rate of change in speed error. The corresponding outputs are Kp, Ki and Kd. There are 25 fuzzy based rule list. FLC uses mamdani system which employs fuzzy sets in consequent part. The obtained result is compared on the basis of rise time, peak time, settling time, overshoot and steady state error. PSO PID controller has fast response but slightly greater overshoot whereas fuzzy PID controller has sluggish response but low overshoot. The selection can be done on the basis of system properties and working environment conditions. PSO PID can be used where the response desired is fast like robotics where as fuzzy PID can be used where desired operation is smooth like industries.
Automatic Power Factor Detection And Correction using ArduinoSouvik Dutta
Automatic Power Factor Detection And Correction using Arduino as pername sujjest makes a Arduino based project detecting power factor of running loads in a system and correcting them .It can display running power factor on its lcd screen and compensated value of power factor .capacitors bank used to minimize power factor deflection from unity s most of the loads are inductive.
Design and Simulation of Power Factor Correction Boost Converter using Hyster...ijtsrd
Nowadays various power converters like AC DC or DC DC are widely used due to their flexible output voltage and high efficiency. But these converters take the current in the form of pulses from the utility grid so that the high Total Harmonic Distortion THD and poor Power Factor PF are the major disadvantages of these converters. Hence there is a continuous need for PF improvement and reduction of line current harmonics. The most popular topology for Active Power Factor Correction APFC is a boost converter as it draws continuous input current. This input current can be manipulated by Hysteresis control technique. The boost converter can perform this type of active power factor correction in many discontinuous and continuous modes. The design and simulation of boost converter with power factor correction in continuous conduction mode is represented by using MATLAB SIMULINK software. Yu Yu Khin | Yan Aung Oo "Design and Simulation of Power Factor Correction Boost Converter using Hysteresis Control" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27905.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/27905/design-and-simulation-of-power-factor-correction-boost-converter-using-hysteresis-control/yu-yu-khin
Power factor correction using bridgeless boost topologyDHEERAJ DHAKAR
Power quality is becoming a major concern for
many electrical users. The high power non linear loads
(such as adjustable speed drives, arc furnace, static power
converter etc) and low power loads (such as computer, fax
machine etc) produce voltage fluctuations, harmonic
currents and an inequality in network system which results
into low power factor operation of the power system. The
devices commonly used in industrial, commercial and
residential applications need to go through rectification for
their proper functioning and operation. Due to the
increasing demand of these devices, the line current
harmonics create a major problem by degrading the power
factor of the system thus affecting the performance of the
devices. Hence there is a need to reduce the input line
current harmonics so as to improve the power factor of the
system. This has led to designing of Power Factor
Correction circuits. Power Factor Correction (PFC)
involves two techniques, Active PFC and Passive PFC. An
active power factor circuit using Boost Converter is used for
improving the power factor. This thesis work analyzes the
procedural approach and benefits of applying Bridgeless
Boost Topology for improving the power factor over Boost
Converter Topology. A traditional design methodology
Boost Converter Topology is initially analyzed and
compared with the Bridgeless Boost topology and the
overall Power Factor (PF) can be improved to the
expectation. Method of re-shaping the input current
waveform to be similar pattern as the sinusoidal input
voltage is done by the Boost converter and the related
controls that act as a Power Factor Correction (PFC)
circuit. Higher efficiency can be achieved by using the
Bridgeless Boost Topology. In this paper simulation of Boost
Converter topology and Bridgeless PFC boost Converter is
presented. Performance comparisons between the
conventional PFC boost Converter and the Bridgeless PFC
Boost Converter is done.
A dual active bridge dc-dc converter for application in a smart user networkAlessandro Burgio
Abstract—The paper presents a dual active bridge converter, i.e. an isolated bidirectional DC/DC converter composed of two full-bridge DC/AC converters and an isolation high frequency (HF) transformer, useful for application in a DC-powered microgrid. The dual active bridge converter connects a battery energy storage system to a DC bus so to provide a high level of reliability and resilience to grid disturbances. In particular, the proposed converter ensures a stable DC bus voltage when the microgrid is operated in islanded mode. Numerical results demonstrate the good dynamic response of the converter under transient condition of
Speed Control of DC Motor using PID FUZZY Controller.Binod kafle
speed control of separately excited dc motor using fuzzy PID controller(FLC).In this research, speed of separately excited DC motor is controlled at 1500 RPM using two approaches i.e. PSO PID and fuzzy logic based PID controller. A mathematical model of system is needed for PSO PID while knowledge based rules obtained via experiment required for fuzzy PID controller . The conventional PID controller parameters are obtained using PSO optimization technique. The simulation is performed using the in-built toolbox from MATLAB and output response are analyzed. The tuning of fuzzy PID uses simple approach based on the rules proposed and membership function of the fuzzy variables. Design specification of fuzzy logic controller (FLC) requires fuzzification, rule list and defuzzification process. The FLC has two input and three output. Inputs are the speed error and rate of change in speed error. The corresponding outputs are Kp, Ki and Kd. There are 25 fuzzy based rule list. FLC uses mamdani system which employs fuzzy sets in consequent part. The obtained result is compared on the basis of rise time, peak time, settling time, overshoot and steady state error. PSO PID controller has fast response but slightly greater overshoot whereas fuzzy PID controller has sluggish response but low overshoot. The selection can be done on the basis of system properties and working environment conditions. PSO PID can be used where the response desired is fast like robotics where as fuzzy PID can be used where desired operation is smooth like industries.
Automatic Power Factor Detection And Correction using ArduinoSouvik Dutta
Automatic Power Factor Detection And Correction using Arduino as pername sujjest makes a Arduino based project detecting power factor of running loads in a system and correcting them .It can display running power factor on its lcd screen and compensated value of power factor .capacitors bank used to minimize power factor deflection from unity s most of the loads are inductive.
Design and Simulation of Power Factor Correction Boost Converter using Hyster...ijtsrd
Nowadays various power converters like AC DC or DC DC are widely used due to their flexible output voltage and high efficiency. But these converters take the current in the form of pulses from the utility grid so that the high Total Harmonic Distortion THD and poor Power Factor PF are the major disadvantages of these converters. Hence there is a continuous need for PF improvement and reduction of line current harmonics. The most popular topology for Active Power Factor Correction APFC is a boost converter as it draws continuous input current. This input current can be manipulated by Hysteresis control technique. The boost converter can perform this type of active power factor correction in many discontinuous and continuous modes. The design and simulation of boost converter with power factor correction in continuous conduction mode is represented by using MATLAB SIMULINK software. Yu Yu Khin | Yan Aung Oo "Design and Simulation of Power Factor Correction Boost Converter using Hysteresis Control" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27905.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/27905/design-and-simulation-of-power-factor-correction-boost-converter-using-hysteresis-control/yu-yu-khin
Power factor correction using bridgeless boost topologyDHEERAJ DHAKAR
Power quality is becoming a major concern for
many electrical users. The high power non linear loads
(such as adjustable speed drives, arc furnace, static power
converter etc) and low power loads (such as computer, fax
machine etc) produce voltage fluctuations, harmonic
currents and an inequality in network system which results
into low power factor operation of the power system. The
devices commonly used in industrial, commercial and
residential applications need to go through rectification for
their proper functioning and operation. Due to the
increasing demand of these devices, the line current
harmonics create a major problem by degrading the power
factor of the system thus affecting the performance of the
devices. Hence there is a need to reduce the input line
current harmonics so as to improve the power factor of the
system. This has led to designing of Power Factor
Correction circuits. Power Factor Correction (PFC)
involves two techniques, Active PFC and Passive PFC. An
active power factor circuit using Boost Converter is used for
improving the power factor. This thesis work analyzes the
procedural approach and benefits of applying Bridgeless
Boost Topology for improving the power factor over Boost
Converter Topology. A traditional design methodology
Boost Converter Topology is initially analyzed and
compared with the Bridgeless Boost topology and the
overall Power Factor (PF) can be improved to the
expectation. Method of re-shaping the input current
waveform to be similar pattern as the sinusoidal input
voltage is done by the Boost converter and the related
controls that act as a Power Factor Correction (PFC)
circuit. Higher efficiency can be achieved by using the
Bridgeless Boost Topology. In this paper simulation of Boost
Converter topology and Bridgeless PFC boost Converter is
presented. Performance comparisons between the
conventional PFC boost Converter and the Bridgeless PFC
Boost Converter is done.
A dual active bridge dc-dc converter for application in a smart user networkAlessandro Burgio
Abstract—The paper presents a dual active bridge converter, i.e. an isolated bidirectional DC/DC converter composed of two full-bridge DC/AC converters and an isolation high frequency (HF) transformer, useful for application in a DC-powered microgrid. The dual active bridge converter connects a battery energy storage system to a DC bus so to provide a high level of reliability and resilience to grid disturbances. In particular, the proposed converter ensures a stable DC bus voltage when the microgrid is operated in islanded mode. Numerical results demonstrate the good dynamic response of the converter under transient condition of
Implementation of Cascaded H-bridge MULTI-LEVEL INVERTEREditor IJMTER
The classical two level inverter produce output with levels either Vdc or -Vdc. The output
voltage waveform of ideal inverter should be sinusoidal but the waveform of conventional inverters
is non-sinusoidal and contains certain harmonics. Large capacitor is normally connected across the
DC voltage source and such a capacitor is costly and demands space. In order to overcome these
drawbacks Multi level inverters are introduced. The great advantage of this kind of inverter is the
minimum harmonic distortion obtained. Power electronics is the applications of power
semiconductor devices for the control and conversion of electric power such that these devices
operate as switches. An inverter is an electrical device that converts DC voltage to AC voltage; the
resulting AC can be at any required frequency. Multi-level inverters are nothing but the modification
of basic bridge inverters [1]. The multilevel inverter collectively converts the several levels of dc
voltage to a desired ac voltage. The unique structure of multilevel inverters allows them to reach
nearer to sinusoidal i.e., with low harmonics. In this project the work is done on five & nine level
multilevel inverter but the multilevel can be done up to any level and how many levels we increase
that much precise sinusoidal supply we can get i.e., we can reduce that many harmonics from the
supply. Simulation work is done using the MATLAB software
In the modern power system the reactive power compensation is one of the main issues, the transmission of active power requires a difference in angular phase between voltages at the sending and receiving points (which is feasible within wide limits), whereas the transmission of reactive power requires a difference in magnitude of these same voltages (which is feasible only within very narrow limits). The reactive power is consumed not only by most of the network elements, but also by most of the consumer loads, so it must be supplied somewhere. If we can't transmit it very easily, then it ought to be generated where it is needed." (Reference Edited by T. J. E. Miller, Forward Page ix).Thus we need to work on the efficient methods by which VAR compensation can be applied easily and we can optimize the modern power system. VAR control technique can provides appropriate placement of compensation devices by which a desirable voltage profile can be achieved and at the same time minimizing the power losses in the system. This report discusses the transmission line requirements for reactive power compensation. In this report thyristor switched capacitor is explained which is a static VAR compensator used for reactive power management in electrical systems.
Seminar Topic For Electrical and Electronics Engineering (EEE)
Power factor improvement is the essence of any power sector for realible operations. This report provides literature study of a fixed capacitor thyristor controlled reactor type of power factor compensator by matlab simulation and implementation in programmed microcontroller. To retaining power factor closed to unity under various load condition the arduino ATmega8 microcontroller is used which is programmed by keil software. The simulation is done using proteus software which display power factor according to the variation in load whenever a capacitive load is connected to the transmission line, a shunt reactor is connected which injects lagging reactive VARs to the power system. This report also includes the matlab simulation for three phase power factor improvement by using fixed capacitor thyristor controlled reactor. As a
result the power factor is improved. The results given in this report provides
suitable matlab simulation and proteus simulation based reactor power compensation and power factor improvement and techniques using a FCTCR.
This slides are the Ph.D. work presentation on Active Power Filter design and implementation for harmonic elimination in micro-grid and electric vehicle
The manual is very useful for UG EEE students for the subject Power Electronics
By
M.MURUGANANDAM. M.E.,(Ph.D).,MIEEE.,MISTE,
Assistant Professor & Head / EIE,
Muthayammal Engineering College,
Rasipuram,
Namakkal-637 408.
Cell No: 9965768327
ECE Projects for Final Year, Embedded Projects in Bangalore, Engineering Projects in Bangalore, Final Year Projects in Vijayanagar, ECE projects in Vijayanagar, Embedded Project institute in Vijaynagar
Latest ieee 2016 projects titles in power electronics @ trichyembedded dreamweb
We are offering PROJECTS in EMBEDDED, MATLAB, NS2, VLSI, Power Electronics,Power Systems for BE- ECE & EEE Students.
Own Concepts also accepted.providing real time projects on MATLAB,EMB&VLSI for ECE Dept DreamwebTechnosolutions
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403,7200021403/04.
Implementation of Cascaded H-bridge MULTI-LEVEL INVERTEREditor IJMTER
The classical two level inverter produce output with levels either Vdc or -Vdc. The output
voltage waveform of ideal inverter should be sinusoidal but the waveform of conventional inverters
is non-sinusoidal and contains certain harmonics. Large capacitor is normally connected across the
DC voltage source and such a capacitor is costly and demands space. In order to overcome these
drawbacks Multi level inverters are introduced. The great advantage of this kind of inverter is the
minimum harmonic distortion obtained. Power electronics is the applications of power
semiconductor devices for the control and conversion of electric power such that these devices
operate as switches. An inverter is an electrical device that converts DC voltage to AC voltage; the
resulting AC can be at any required frequency. Multi-level inverters are nothing but the modification
of basic bridge inverters [1]. The multilevel inverter collectively converts the several levels of dc
voltage to a desired ac voltage. The unique structure of multilevel inverters allows them to reach
nearer to sinusoidal i.e., with low harmonics. In this project the work is done on five & nine level
multilevel inverter but the multilevel can be done up to any level and how many levels we increase
that much precise sinusoidal supply we can get i.e., we can reduce that many harmonics from the
supply. Simulation work is done using the MATLAB software
In the modern power system the reactive power compensation is one of the main issues, the transmission of active power requires a difference in angular phase between voltages at the sending and receiving points (which is feasible within wide limits), whereas the transmission of reactive power requires a difference in magnitude of these same voltages (which is feasible only within very narrow limits). The reactive power is consumed not only by most of the network elements, but also by most of the consumer loads, so it must be supplied somewhere. If we can't transmit it very easily, then it ought to be generated where it is needed." (Reference Edited by T. J. E. Miller, Forward Page ix).Thus we need to work on the efficient methods by which VAR compensation can be applied easily and we can optimize the modern power system. VAR control technique can provides appropriate placement of compensation devices by which a desirable voltage profile can be achieved and at the same time minimizing the power losses in the system. This report discusses the transmission line requirements for reactive power compensation. In this report thyristor switched capacitor is explained which is a static VAR compensator used for reactive power management in electrical systems.
Seminar Topic For Electrical and Electronics Engineering (EEE)
Power factor improvement is the essence of any power sector for realible operations. This report provides literature study of a fixed capacitor thyristor controlled reactor type of power factor compensator by matlab simulation and implementation in programmed microcontroller. To retaining power factor closed to unity under various load condition the arduino ATmega8 microcontroller is used which is programmed by keil software. The simulation is done using proteus software which display power factor according to the variation in load whenever a capacitive load is connected to the transmission line, a shunt reactor is connected which injects lagging reactive VARs to the power system. This report also includes the matlab simulation for three phase power factor improvement by using fixed capacitor thyristor controlled reactor. As a
result the power factor is improved. The results given in this report provides
suitable matlab simulation and proteus simulation based reactor power compensation and power factor improvement and techniques using a FCTCR.
This slides are the Ph.D. work presentation on Active Power Filter design and implementation for harmonic elimination in micro-grid and electric vehicle
The manual is very useful for UG EEE students for the subject Power Electronics
By
M.MURUGANANDAM. M.E.,(Ph.D).,MIEEE.,MISTE,
Assistant Professor & Head / EIE,
Muthayammal Engineering College,
Rasipuram,
Namakkal-637 408.
Cell No: 9965768327
ECE Projects for Final Year, Embedded Projects in Bangalore, Engineering Projects in Bangalore, Final Year Projects in Vijayanagar, ECE projects in Vijayanagar, Embedded Project institute in Vijaynagar
Latest ieee 2016 projects titles in power electronics @ trichyembedded dreamweb
We are offering PROJECTS in EMBEDDED, MATLAB, NS2, VLSI, Power Electronics,Power Systems for BE- ECE & EEE Students.
Own Concepts also accepted.providing real time projects on MATLAB,EMB&VLSI for ECE Dept DreamwebTechnosolutions
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403,7200021403/04.
Latest ieee 2016 projects titles in power electronics @ trichyembedded dreamweb
We are offering PROJECTS in EMBEDDED, MATLAB, NS2, VLSI, Power Electronics,Power Systems for BE- ECE & EEE Students.
Own Concepts also accepted.providing real time projects on MATLAB,EMB&VLSI for ECE Dept DreamwebTechnosolutions
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403,7200021403/04.
SCEPP - Soluções Integradas para Geração de EnergiaMarcelo Balbino
A SCEPP é uma empresa de engenharia elétrica
altamente qualificada em sistemas de controle e
proteção para centrais de geração de energia.
Saiba mais: www.scepp.com.br
La Coledocolitiasis es la presencia de cálculos en la vía Biliar Principal.
Debido a la importancia de esta patología es imprescindible para todo médico en formación conocer las bases teóricas y lograr un buen manejo práctico de las distintas formas de manifestación de esta enfermedad.
A Novel Nonlinear Control of Boost Converter using CCM Phase PlaneIJECEIAES
Boost converter is one of fundamental DC-DC converters and used to deliver electric power with boosted voltage in many electrical systems. Several control strategies have been applied to control a boost converter delivering a constant output voltage. Generally, boost converter works in two modes; one is called a Continuous Conduction Mode (CCM). Many researches use CCM model in the controller design, but they never ensure that the controller always works in CCM. This paper proposes novel nonlinear controller of boost converter designed using the modification of flow in phase plane. The proposed controller guarantees that the boost converter works only in CCM region. The simulation result confirms that our proposed controller brings the state variables from any initial point to a desired operating point successfully.
IC Design of Power Management Circuits (I)Claudia Sin
by Wing-Hung Ki
Integrated Power Electronics Laboratory
ECE Dept., HKUST
Clear Water Bay, Hong Kong
www.ee.ust.hk/~eeki
International Symposium on Integrated Circuits
Singapore, Dec. 14, 2009
I am Felix T. I am an Electrical Engineering Assignment Expert at eduassignmenthelp.com. I hold a Master’s. in Electrical Engineering, University of Greenwich, UK. I have been helping students with their Assignments for the past 7 years. I solve assignments related to Electrical Engineering.
Visit eduassignmenthelp.com or email info@eduassignmenthelp.com . You can also call on +1 678 648 4277 for any assistance with Electrical Engineering Assignments.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Chapter 18
1. ECEN5807 Power Electronics 2 1 Chapter 18: Low harmonic rectifier modeling and control
Chapter 18
Low Harmonic Rectifier Modeling and Control
18.1 Modeling losses and efficiency in CCM high-quality rectifiers
Expression for controller duty cycle d(t)
Expression for the dc load current
Solution for converter efficiency η
Design example
18.2 Controller schemes
Average current control
Feedforward
Current programmed control
Hysteretic control
Nonlinear carrier control
18.3 Control system modeling
Modeling the outer low-bandwidth control system
Modeling the inner wide-bandwidth average current controller
2. ECEN5807 Power Electronics 2 2 Chapter 18: Low harmonic rectifier modeling and control
18.1 Modeling losses and efficiency
in CCM high-quality rectifiers
Objective: extend procedure of Chapter 3, to predict the output
voltage, duty cycle variations, and efficiency, of PWM CCM low
harmonic rectifiers.
Approach: Use the models developed in Chapter 3. Integrate over
one ac line cycle to determine steady-state waveforms and average
power.
Boost example
+
–
Q1
L
C R
+
v(t)
–
D1
vg(t)
ig(t) RL i(t)
+
–
R
+
v(t)
–
vg(t)
ig(t)
RL
i(t)
DRon
+
–
D' : 1
VF
Dc-dc boost converter circuit Averaged dc model
3. ECEN5807 Power Electronics 2 3 Chapter 18: Low harmonic rectifier modeling and control
Modeling the ac-dc boost rectifier
Rvac(t)
iac(t) +
vg(t)
–
ig(t)
+
v(t)
–
id(t)
Q1
L
C
D1
controller
i(t)
RL
+
–
R
+
v(t) = V
–
vg(t)
ig(t)
RL
i(t) = I
d(t) Ron
+
–
d'(t) : 1
VF
id(t)
C
(large)
Boost
rectifier
circuit
Averaged
model
5. ECEN5807 Power Electronics 2 5 Chapter 18: Low harmonic rectifier modeling and control
Example: boost rectifier
with MOSFET on-resistance
+
–
R
+
v(t) = V
–
vg(t)
ig(t) i(t) = I
d(t) Ron
d'(t) : 1
id(t)
C
(large)
Averaged model
Inductor dynamics are neglected, a good approximation when the ac
line variations are slow compared to the converter natural frequencies
6. ECEN5807 Power Electronics 2 6 Chapter 18: Low harmonic rectifier modeling and control
18.1.1 Expression for controller duty cycle d(t)
+
–
R
+
v(t) = V
–
vg(t)
ig(t) i(t) = I
d(t) Ron
d'(t) : 1
id(t)
C
(large)
Solve input side of
model:
ig(t)d(t)Ron = vg(t) – d'(t)v
with ig(t) =
vg(t)
Re
eliminate ig(t):
vg(t)
Re
d(t)Ron = vg(t) – d'(t)v
vg(t) = VM sin ωt
solve for d(t):
d(t) =
v – vg(t)
v – vg(t)
Ron
Re
Again, these expressions neglect converter dynamics, and assume
that the converter always operates in CCM.
7. ECEN5807 Power Electronics 2 7 Chapter 18: Low harmonic rectifier modeling and control
18.1.2 Expression for the dc load current
+
–
R
+
v(t) = V
–
vg(t)
ig(t) i(t) = I
d(t) Ron
d'(t) : 1
id(t)
C
(large)
Solve output side of
model, using charge
balance on capacitor C:
I = id Tac
id(t) = d'(t)ig(t) = d'(t)
vg(t)
Re
Butd’(t) is:
d'(t) =
vg(t) 1 –
Ron
Re
v – vg(t)
Ron
Re
hence id(t) can be expressed as
id(t) =
vg
2
(t)
Re
1 –
Ron
Re
v – vg(t)
Ron
Re
Next, average id(t) over an ac line period, to find the dc load current I.
8. ECEN5807 Power Electronics 2 8 Chapter 18: Low harmonic rectifier modeling and control
Dc load current I
I = id Tac
= 2
Tac
VM
2
Re
1 –
Ron
Re
sin2
ωt
v –
VM Ron
Re
sin ωt
dt
0
Tac/2
Now substitute vg (t) = VM sin ωt, and integrate to find 〈id(t)〉Tac
:
This can be written in the normalized form
I = 2
Tac
VM
2
VRe
1 –
Ron
Re
sin2
ωt
1 – a sin ωt
dt
0
Tac/2
with a =
VM
V
Ron
Re
9. ECEN5807 Power Electronics 2 9 Chapter 18: Low harmonic rectifier modeling and control
Integration
By waveform symmetry, we need only integrate from 0 to Tac/4. Also,
make the substitution θ = ωt:
I =
VM
2
VRe
1 –
Ron
Re
2
π
sin2
θ
1 – a sin θ
dθ
0
π/2
This integral is obtained not only in the boost rectifier, but also in the
buck-boost and other rectifier topologies. The solution is
4
π
sin2
θ
1 – a sin θ
dθ
0
π/2
= F(a) = 2
a2
π
– 2a – π +
4 sin– 1
a + 2 cos– 1
a
1 – a2
• Result is in closed form
• a is a measure of the loss
resistance relative to Re
• a is typically much smaller than
unity
10. ECEN5807 Power Electronics 2 10 Chapter 18: Low harmonic rectifier modeling and control
The integral F(a)
F(a)
a
–0.15 –0.10 –0.05 0.00 0.05 0.10 0.15
0.85
0.9
0.95
1
1.05
1.1
1.15
4
π
sin2
θ
1 – a sin θ
dθ
0
π/2
= F(a) = 2
a2
π
– 2a – π +
4 sin– 1
a + 2 cos– 1
a
1 – a2
F(a) ≈ 1 + 0.862a + 0.78a2
Approximation via
polynomial:
For | a | ≤ 0.15, this
approximate expression is
within 0.1% of the exact
value. If the a2 term is
omitted, then the accuracy
drops to ±2% for | a | ≤ 0.15.
The accuracy of F(a)
coincides with the accuracy
of the rectifier efficiency η.
11. ECEN5807 Power Electronics 2 11 Chapter 18: Low harmonic rectifier modeling and control
18.1.4 Solution for converter efficiency η
Converter average input power is
Pin = pin(t) Tac
=
VM
2
2Re
Average load power is
Pout = VI = V
VM
2
VRe
1 –
Ron
Re
F(a)
2 with a =
VM
V
Ron
Re
So the efficiency is
η =
Pout
Pin
= 1 –
Ron
Re
F(a)
Polynomial approximation:
η ≈ 1 –
Ron
Re
1 + 0.862
VM
V
Ron
Re
+ 0.78
VM
V
Ron
Re
2
12. ECEN5807 Power Electronics 2 12 Chapter 18: Low harmonic rectifier modeling and control
Boost rectifier efficiency
η =
Pout
Pin
= 1 –
Ron
Re
F(a)
0.0 0.2 0.4 0.6 0.8 1.0
0.75
0.8
0.85
0.9
0.95
1
VM /V
η
Ron
/Re
= 0.05
Ron
/Re
= 0.1
Ron
/Re
= 0.15
Ron
/Re
= 0.2
• To obtain high
efficiency, choose V
slightly larger than VM
• Efficiencies in the range
90% to 95% can then be
obtained, even with Ron
as high as 0.2Re
• Losses other than
MOSFET on-resistance
are not included here
13. ECEN5807 Power Electronics 2 13 Chapter 18: Low harmonic rectifier modeling and control
18.1.5 Design example
Let us design for a given efficiency. Consider the following
specifications:
Output voltage 390 V
Output power 500 W
rms input voltage 120 V
Efficiency 95%
Assume that losses other than the MOSFET conduction loss are
negligible.
Average input power is
Pin =
Pout
η = 500 W
0.95
= 526 W
Then the emulated resistance is
Re =
Vg, rms
2
Pin
=
(120 V)2
526 W
= 27.4 Ω
14. ECEN5807 Power Electronics 2 14 Chapter 18: Low harmonic rectifier modeling and control
Design example
Also, VM
V
= 120 2 V
390 V
= 0.435
0.0 0.2 0.4 0.6 0.8 1.0
0.75
0.8
0.85
0.9
0.95
1
VM /V
η
Ron
/Re
= 0.05
Ron
/Re
= 0.1
Ron
/Re
= 0.15
Ron
/Re
= 0.2
95% efficiency with
VM/V = 0.435 occurs
with Ron/Re ≈ 0.075.
So we require a
MOSFET with on
resistance of
Ron ≤ (0.075) Re
= (0.075) (27.4 Ω) = 2 Ω
15. ECEN5807 Power Electronics 2 15 Chapter 18: Low harmonic rectifier modeling and control
18.2 Controller schemes
Average current control
Feedforward
Current programmed control
Hysteretic control
Nonlinear carrier control
16. ECEN5807 Power Electronics 2 16 Chapter 18: Low harmonic rectifier modeling and control
18.2.1 Average current control
+
–
+
v(t)
–
vg(t)
ig(t)
Gate
driver
Pulse width
modulator
CompensatorGc(s)
+
–
+
–
Current
reference
vr(t)
va(t)
≈ Rs 〈 ig(t)〉Ts
L
Boost example
Low frequency
(average) component
of input current is
controlled to follow
input voltage
17. ECEN5807 Power Electronics 2 17 Chapter 18: Low harmonic rectifier modeling and control
Use of multiplier to control average power
+
–
+
v(t)
–
vg(t)
ig(t)
Gate
driver
Pulse width
modulator
CompensatorGc(s)
+
–
+
–vref1(t)
kx xy
x
y
Multiplier
vg(t)
vcontrol(t)
Gcv(s)
+
–
Voltage reference
C
vref2(t)
v(t)
verr(t)
va(t)
Pav =
Vg,rms
2
Re
= Pload
As discussed in Chapter
17, an output voltage
feedback loop adjusts the
emulated resistance Re
such that the rectifier
power equals the dc load
power:
An analog multiplier
introduces the
dependence of Re
on v(t).
18. ECEN5807 Power Electronics 2 18 Chapter 18: Low harmonic rectifier modeling and control
18.2.2 Feedforward
+
–
+
v(t)
–
vg(t)
ig(t)
Gate
driver
Pulse width
modulator
CompensatorGc(s)
+
–+
–vref1(t)
x
y
multiplier
vg(t)
vcontrol(t)
Gcv(s)
+
–
Voltage reference
kv
xy
z2z
Peak
detector VM
vref2(t)
va(t)
Feedforward is sometimes
used to cancel out
disturbances in the input
voltage vg(t).
To maintain a given power
throughput Pav, the reference
voltage vref1(t) should be
vref1(t) =
Pavvg(t)Rs
Vg,rms
2
19. ECEN5807 Power Electronics 2 19 Chapter 18: Low harmonic rectifier modeling and control
Feedforward, continued
+
–
+
v(t)
–
vg(t)
ig(t)
Gate
driver
Pulse width
modulator
CompensatorGc(s)
+
–+
–vref1(t)
x
y
multiplier
vg(t)
vcontrol(t)
Gcv(s)
+
–
Voltage reference
kv
xy
z2z
Peak
detector VM
vref2(t)
va(t)
vref1(t) =
kvvcontrol(t)vg(t)
VM
2
Pav =
kvvcontrol(t)
2Rs
Controller with feedforward
produces the following reference:
The average power is then
given by
20. ECEN5807 Power Electronics 2 20 Chapter 18: Low harmonic rectifier modeling and control
18.2.3 Current programmed control
Boost converter
Current-programmed controller
Rvg(t)
ig(t)
is(t)
vg(t)
+
v(t)
–
i2(t)
Q1
L
C
D1
vcontrol(t)
Multiplier X
ic(t)
= kx vg(t) vcontrol(t)
+
–
+
+
+
–
Comparator Latch
ia(t)
Ts
0
S
R
Q
ma
Clock
Current programmed
control is a natural
approach to obtain input
resistor emulation:
Peak transistor current is
programmed to follow
input voltage.
Peak transistor current
differs from average
inductor current,
because of inductor
current ripple and
artificial ramp. This leads
to significant input
current waveform
distortion.
21. ECEN5807 Power Electronics 2 21 Chapter 18: Low harmonic rectifier modeling and control
CPM boost converter: Static input characteristics
ig(t) Ts
=
vg(t)
Lic
2
(t)fs
V – vg(t)
vg(t)
V
+
maL
V
in DCM
ic(t) + maTs
vg(t)
V
– 1 +
vg
2
(t)Ts
2LV
in CCM
Mode boundary: CCM occurs when
ig(t) Ts
>
TsV
2L
vg(t)
V
1 –
vg(t)
V
or, ic(t) >
TsV
L
maL
V
+
vg(t)
V
1 –
vg(t)
V
It is desired that ic(t) =
vg(t)
Re
0
0.2
0.4
0.6
0.8
1
0.0 0.2 0.4 0.6 0.8 1.0
vg(t)
V
jg(t)=ig(t)
Ts
Rbase
V CCM
DCM
R
e=R
base
R
e=4R
base
Re=0.33Rbase
Re=0.5Rbase
R
e=2R
base
Re=0.2Rbase
Re=0.1Rbase
Re
=
10R
base
ma = V
2L
Rbase = 2L
Ts
Static input characteristics of
CPM boost, with minimum
slope compensation:
Minimum slope compensation:
ma = V
2L
22. ECEN5807 Power Electronics 2 22 Chapter 18: Low harmonic rectifier modeling and control
18.3 Control system modeling
of high quality rectifiers
Two loops:
Outer low-bandwidth controller
Inner wide-bandwidth controller
Boost converter
Wide-bandwidth input current controller
vac(t)
iac(t) +
vg(t)
–
ig(t)
ig(t)vg(t)
+
vC(t)
–
i2(t)
Q1
L
C
D1
vcontrol(t)
Multiplier X
+
–
vref1(t)
= kxvg(t)vcontrol(t)
Rs
va(t)
Gc(s)
PWM
Compensator
verr(t)
DC–DC
Converter Load
+
v(t)
–
i(t)
d(t)
+
–Compensator
and modulator
vref3
Wide-bandwidth output voltage controller
+
–Compensator
vref2
Low-bandwidth energy-storage capacitor voltage controller
vC(t)
v(t)
23. ECEN5807 Power Electronics 2 23 Chapter 18: Low harmonic rectifier modeling and control
18.3.1 Modeling the outer low-bandwidth
control system
This loop maintains power balance, stabilizing the rectifier output
voltage against variations in load power, ac line voltage, and
component values
The loop must be slow, to avoid introducing variations in Re at the
harmonics of the ac line frequency
Objective of our modeling efforts: low-frequency small-signal model
that predicts transfer functions at frequencies below the ac line
frequency
24. ECEN5807 Power Electronics 2 24 Chapter 18: Low harmonic rectifier modeling and control
Large signal model
averaged over switching period Ts
Re (vcontrol )〈 vg(t)〉Ts
vcontrol
+
–
Ideal rectifier (LFR)
ac
input
dc
output
+
–
〈 ig(t)〉Ts
〈 p(t)〉Ts
〈 i2(t)〉Ts
〈 v(t)〉Ts
C Load
Ideal rectifier model, assuming that inner wide-bandwidth loop
operates ideally
High-frequency switching harmonics are removed via averaging
Ac line-frequency harmonics are included in model
Nonlinear and time-varying
25. ECEN5807 Power Electronics 2 25 Chapter 18: Low harmonic rectifier modeling and control
Predictions of large-signal model
Re (vcontrol )〈 vg(t)〉Ts
vcontrol
+
–
Ideal rectifier (LFR)
ac
input
dc
output
+
–
〈 ig(t)〉Ts
〈 p(t)〉Ts
〈 i2(t)〉Ts
〈 v(t)〉Ts
C Load
vg(t) = 2 vg,rms sin ωt
If the input voltage is
Then the
instantaneous power
is:
p(t) Ts
=
vg(t) Ts
2
Re(vcontrol(t))
=
vg,rms
2
Re(vcontrol(t))
1 – cos 2ωt
which contains a constant term plus a second-
harmonic term
26. ECEN5807 Power Electronics 2 26 Chapter 18: Low harmonic rectifier modeling and control
Separation of power source into its constant and
time-varying components
+
–
〈 i2(t)〉Ts
〈 v(t)〉Ts
C Load
Vg,rms
2
Re
–
Vg,rms
2
Re
cos2
2ωt
Rectifier output port
The second-harmonic variation in power leads to second-harmonic
variations in the output voltage and current
27. ECEN5807 Power Electronics 2 27 Chapter 18: Low harmonic rectifier modeling and control
Removal of even harmonics via averaging
t
v(t)
〈 v(t)〉T2L
〈 v(t)〉Ts
T2L = 1
2
2π
ω = π
ω
28. ECEN5807 Power Electronics 2 28 Chapter 18: Low harmonic rectifier modeling and control
Resulting averaged model
+
–
〈 i2(t)〉T2L
〈 v(t)〉T2L
C Load
Vg,rms
2
Re
Rectifier output port
Time invariant model
Power source is nonlinear
29. ECEN5807 Power Electronics 2 29 Chapter 18: Low harmonic rectifier modeling and control
Perturbation and linearization
v(t) T2L
= V + v(t)
i2(t) T2L
= I2 + i2(t)
vg,rms = Vg,rms + vg,rms(t)
vcontrol(t) = Vcontrol + vcontrol(t)
V >> v(t)
I2 >> i2(t)
Vg,rms >> vg,rms(t)
Vcontrol >> vcontrol(t)
Let with
The averaged model predicts that the rectifier output current is
i2(t) T2L
=
p(t) T2L
v(t) T2L
=
vg,rms
2
(t)
Re(vcontrol(t)) v(t) T2L
= f vg,rms(t), v(t) T2L
, vcontrol(t))
30. ECEN5807 Power Electronics 2 30 Chapter 18: Low harmonic rectifier modeling and control
Linearized result
I2 + i2(t) = g2vg,rms(t) + j2v(t) –
vcontrol(t)
r2
g2 =
df vg,rms, V, Vcontrol)
dvg,rms
vg,rms = Vg,rms
= 2
Re(Vcontrol)
Vg,rms
V
where
– 1
r2
=
df Vg,rms, v T2L
, Vcontrol)
d v T2L
v T2L
= V
= –
I2
V
j2 =
df Vg,rms, V, vcontrol)
dvcontrol
vcontrol = Vcontrol
= –
Vg,rms
2
VRe
2
(Vcontrol)
dRe(vcontrol)
dvcontrol
vcontrol = Vcontrol
31. ECEN5807 Power Electronics 2 31 Chapter 18: Low harmonic rectifier modeling and control
Small-signal equivalent circuit
C
Rectifier output port
r2g2 vg,rms j2 vcontrol R
i2
+
–
v
v(s)
vcontrol(s)
= j2 R||r2
1
1 + sC R||r2
v(s)
vg,rms(s)
= g2 R||r2
1
1 + sC R||r2
Predicted transfer functions
Control-to-output
Line-to-output
32. ECEN5807 Power Electronics 2 32 Chapter 18: Low harmonic rectifier modeling and control
Model parameters
Table 18. 1 Small-signal model parameters for several types of rectifier control schemes
Controller type g2 j2 r2
Average current control with
feedforward, Fig. 18.9
0 Pav
VVcontrol
V2
Pav
Current-programmed control,
Fig. 18.10
2Pav
VVg,rms
Pav
VVcontrol
V2
Pav
Nonlinear-carrier charge control
of boost rectifier, Fig. 18.14
2Pav
VVg,rms
Pav
VVcontrol
V2
2Pav
Boost with hysteretic control,
Fig. 18.13(b)
2Pav
VVg,rms
Pav
VTon
V2
Pav
DCM buck–boost, flyback,
SEPIC, or Cuk converters
2Pav
VVg,rms
2Pav
VD
V2
Pav
33. ECEN5807 Power Electronics 2 33 Chapter 18: Low harmonic rectifier modeling and control
Constant power load
vac(t)
iac(t)
Re
+
–
Ideal rectifier (LFR)
C
i2(t)ig(t)
vg(t)
i(t)
load
+
v(t)
–
pload(t) = VI = Pload
Energy storage
capacitor
vC(t)
+
–
Dc-dc
converter
+
–
Pload V
〈 pac(t)〉Ts
Rectifier and dc-dc converter operate with same average power
Incremental resistance R of constant power load is negative, and is
R = – V2
Pav
which is equal in magnitude and opposite in polarity to rectifier
incremental output resistance r2 for all controllers except NLC
34. ECEN5807 Power Electronics 2 34 Chapter 18: Low harmonic rectifier modeling and control
Transfer functions with constant power load
v(s)
vcontrol(s)
=
j2
sC
v(s)
vg,rms(s)
=
g2
sC
When r2 = –R, the parallel combination r2 || R becomes equal to zero.
The small-signal transfer functions then reduce to
35. ECEN5807 Power Electronics 2 35 Chapter 18: Low harmonic rectifier modeling and control
18.3.2 Modeling the inner wide-bandwidth
average current controller
+
–
+
–
L
C R
+
〈v(t)〉Ts
–
〈vg(t)〉Ts
〈v1(t)〉Ts
〈i2(t)〉Ts
〈i(t)〉Ts
+
〈v2(t)〉Ts
–
〈i1(t)〉Ts
Averaged switch network
Averaged (but not linearized) boost converter model, Fig. 7.42:
vg(t) Ts
= Vg + vg(t)
d(t) = D + d(t) ⇒ d'(t) = D' – d(t)
i(t) Ts
= i1(t) Ts
= I + i(t)
v(t) Ts
= v2(t) Ts
= V + v(t)
v1(t) Ts
= V1 + v1(t)
i2(t) Ts
= I2 + i2(t)
In Chapter 7,
we perturbed
and linearized
using the
assumptions
Problem: variations in vg,
i1 , and d are not small.
So we are faced with the
design of a control
system that exhibits
significant nonlinear
time-varying behavior.
36. ECEN5807 Power Electronics 2 36 Chapter 18: Low harmonic rectifier modeling and control
Linearizing the equations of the boost rectifier
When the rectifier operates near steady-state, it is true that
v(t) Ts
= V + v(t)
with
v(t) << V
In the special case of the boost rectifier, this is sufficient to linearize
the equations of the average current controller.
The boost converter average inductor voltage is
L
d ig(t) Ts
dt
= vg(t) Ts
– d'(t)V – d'(t)v(t)
substitute:
L
d ig(t) Ts
dt
= vg(t) Ts
– d'(t)V – d'(t)v(t)
37. ECEN5807 Power Electronics 2 37 Chapter 18: Low harmonic rectifier modeling and control
Linearized boost rectifier model
L
d ig(t) Ts
dt
= vg(t) Ts
– d'(t)V – d'(t)v(t)
The nonlinear term is much smaller than the linear ac term. Hence, it
can be discarded to obtain
L
d ig(t) Ts
dt
= vg(t) Ts
– d'(t)V
Equivalent circuit:
+
–
L
+
– d'(t)Vvg(t)
Ts
ig(t)
Ts
ig(s)
d(s)
= V
sL
38. ECEN5807 Power Electronics 2 38 Chapter 18: Low harmonic rectifier modeling and control
The quasi-static approximation
The above approach is not sufficient to linearize the equations needed to
design the rectifier averaged current controllers of buck-boost, Cuk,
SEPIC, and other converter topologies. These are truly nonlinear time-
varying systems.
An approximate approach that is sometimes used in these cases: the
quasi-static approximation
Assume that the ac line variations are much slower than the converter
dynamics, so that the rectifier always operates near equilibrium. The
quiescent operating point changes slowly along the input sinusoid, and we
can find the slowly-varying “equilibrium” duty ratio as in Section 18.1.
The converter small-signal transfer functions derived in Chapters 7 and 8
are evaluated, using the time-varying operating point. The poles, zeroes,
and gains vary slowly as the operating point varies. An average current
controller is designed, that has a positive phase margin at each operating
point.
39. ECEN5807 Power Electronics 2 39 Chapter 18: Low harmonic rectifier modeling and control
Quasi-static approximation: discussion
In the literature, several authors have reported success using this
method
Should be valid provided that the converter dynamics are suffieiently
fast, such that the converter always operates near the assumed
operating points
No good condition on system parameters, which can justify the
approximation, is presently known for the basic converter topologies
It is well-understood in the field of control systems that, when the
converter dynamics are not sufficiently fast, then the quasi-static
approximation yields neither necessary nor sufficient conditions for
stability. Such behavior can be observed in rectifier systems. Worst-
case analysis to prove stability should employ simulations.