Peter Dirnberger, Stefan Fragner
Nowadays, the market demands compact, stable, easy maintain-and customizable embedded systems. To meet these requirements, afast, simple and reliable implementation of control algorithms is crucial. This paper demonstrateshow model-based design with the help of Scilab/Xcosand X2C, developed by LCM,simplifiesand speedsup the development and implementation of controlalgorithms. As an example, acontrol schemefor a bearingless motoris presented.
Upgrades suck. We get it. They are risky and time consuming and you have better things to do. In this talk we'll present good reasons to upgrade anyway and give suggestions on how to de-risk your upgrades. Straight from the team that upgrades Kafka almost every week. We'll review all the releases in the past year - major, minor and bug-fixes. We'll explain the differences between those and what can you expect from each. We'll go into the most important features and most critical fixes and improvements, so you'll have ample ammunition when you explain to your boss why you really have to upgrade Kafka. Then we'll discuss how we validate new releases and suggest a safe upgrade process - because we know that uneventful upgrades are a key to the next upgrade.
Increasingly, organizations are relying on Kafka for mission critical use-cases where high availability and fast recovery times are essential. In particular, enterprise operators need the ability to quickly migrate applications between clusters in order to maintain business continuity during outages. In many cases, out-of-order or missing records are entirely unacceptable. MirrorMaker is a popular tool for replicating topics between clusters, but it has proven inadequate for these enterprise multi-cluster environments. Here we present MirrorMaker 2.0, an upcoming all-new replication engine designed specifically to provide disaster recovery and high availability for Kafka. We describe various replication topologies and recovery strategies using MirrorMaker 2.0 and associated tooling.
[SiriusCon 2020] Realization of Model-Based Safety Analysis and Integration w...Obeo
The importance of mission or safety-critical software systems in many application domains of embedded systems is continuously growing, and so is the effort and complexity for reliability and safety analysis. Model-based system engineering (MBSE) is currently one of the key approaches to cope with increasing system complexity.
With Component Fault Trees (CFTs) there is a model- and component-based methodology for safety analysis, which extends the advantages of model-based development to safety & reliability engineering. In this talk, we demonstrate how to ease the development of safety-critical systems by implementing a graphical modeling tool for Component Fault Trees using Sirius and integrate safety analysis capabilities in a model-based system engineering workflow in Capella.
Speaker :
Mark Zeller, Siemens CT
Marc Zeller works as a Senior Key Expert for model-based safety and reliability engineering at Siemens Corporate Technology. His research interests are focused on the efficient and effective development of dependability-relevant Cyber-physical Systems using model-based engineering techniques. Marc Zeller received a diploma in Computer Science from the Karlsruhe Institute of Technology (KIT) in 2007 and obtained a PhD in Computer Science from the University of Augsburg in 2013. With over 10-years' experience in different industrial domains, such as automotive, railway, avionics, or industry automations, he has been involved in various projects establishing model-based engineering techniques and is author of many publications in this area.
Upgrades suck. We get it. They are risky and time consuming and you have better things to do. In this talk we'll present good reasons to upgrade anyway and give suggestions on how to de-risk your upgrades. Straight from the team that upgrades Kafka almost every week. We'll review all the releases in the past year - major, minor and bug-fixes. We'll explain the differences between those and what can you expect from each. We'll go into the most important features and most critical fixes and improvements, so you'll have ample ammunition when you explain to your boss why you really have to upgrade Kafka. Then we'll discuss how we validate new releases and suggest a safe upgrade process - because we know that uneventful upgrades are a key to the next upgrade.
Increasingly, organizations are relying on Kafka for mission critical use-cases where high availability and fast recovery times are essential. In particular, enterprise operators need the ability to quickly migrate applications between clusters in order to maintain business continuity during outages. In many cases, out-of-order or missing records are entirely unacceptable. MirrorMaker is a popular tool for replicating topics between clusters, but it has proven inadequate for these enterprise multi-cluster environments. Here we present MirrorMaker 2.0, an upcoming all-new replication engine designed specifically to provide disaster recovery and high availability for Kafka. We describe various replication topologies and recovery strategies using MirrorMaker 2.0 and associated tooling.
[SiriusCon 2020] Realization of Model-Based Safety Analysis and Integration w...Obeo
The importance of mission or safety-critical software systems in many application domains of embedded systems is continuously growing, and so is the effort and complexity for reliability and safety analysis. Model-based system engineering (MBSE) is currently one of the key approaches to cope with increasing system complexity.
With Component Fault Trees (CFTs) there is a model- and component-based methodology for safety analysis, which extends the advantages of model-based development to safety & reliability engineering. In this talk, we demonstrate how to ease the development of safety-critical systems by implementing a graphical modeling tool for Component Fault Trees using Sirius and integrate safety analysis capabilities in a model-based system engineering workflow in Capella.
Speaker :
Mark Zeller, Siemens CT
Marc Zeller works as a Senior Key Expert for model-based safety and reliability engineering at Siemens Corporate Technology. His research interests are focused on the efficient and effective development of dependability-relevant Cyber-physical Systems using model-based engineering techniques. Marc Zeller received a diploma in Computer Science from the Karlsruhe Institute of Technology (KIT) in 2007 and obtained a PhD in Computer Science from the University of Augsburg in 2013. With over 10-years' experience in different industrial domains, such as automotive, railway, avionics, or industry automations, he has been involved in various projects establishing model-based engineering techniques and is author of many publications in this area.
A Real-Time Interface for Xcos – an illustrative demonstration using a batter...Scilab
As part of an EU-founded research project, the Scilab based development tool LoRra (Low-Cost Rapid Control Prototyping Platform) was created. This allows the realization of the continuously model based and highly automated Rapid Control Prototyping (RCP) design process for embedded software within the Scilab / Xcos environment (cf. Figure 1). Based on the application battery management system (BMS), this paper presents a Real-Time interface for Scilab.
Addressing the challenges of position sensor solutions in safety critical aut...HEINZ OYRER
As automobiles evolve, design engineers are continuously calling for components that offer increased performance and flexibility. Further still are the requirements that these devices be versatile and adaptable to a wide range of applications. While traditional position sensing technologies have their strengths, the development of inductive sensing technology offers solutions to the technical challenges and needs of today's demanding automotive electronics. The design flexibility of this type of sensing technology makes it a robust and cost effective solution for many automotive applications. This is particularly true for sensors and other feedback electronics that are required to make cars safer, more fuel-efficient, and emissions friendly. This talk will discuss position sensor challenges such as the issue of stray fields, harsh environments, installation space, mechanical tolerances, as well as levels of accuracy performance for safety critical applications such as electronic power steering (EPS) and electrical motor control to meet new safety and efficiency regulations.
Induction Motors Matching Permanent Magnet Performances at Lower Costsfernando nuño
Due to a continued concern on the external dependence of permanent magnets in Europe, induction technology is being pushed beyond its limits to maximise performance.
With novel materials, material characterisation and multi-domain design, power-speed capability of laminated rotor induction motors can match that typically associated with surface permanent magnet machines, at a fraction of the cost.
This session reviews the findings relating to lower cost induction motors, highlighting how they can successfully be used as an alternative to permanent magnets.
Speed Synchronization of Multiple Bldcmotors In Textile &Paper Mills Using Mi...IJERA Editor
Multiple motor setup has vast application in industries. The application can be in textile mills, paper mills and robotics. In these all application the synchronization is must between the motors to perform certain task. Speed synchronization is very essential in these all operation to avoid damage to the product. The synchronization is done by using microcontroller chip which controls the master slave whose speed is followed by the other motors which all have to be synchronized.
Drive by-wire systems in Automobiles pptABHISHEKPUND
The drive-by-wire is one of the recently developed technologies in the automotive industry. This ensures completely new driving with new dimensions. It changes bulky and inaccurate mechanical systems with an advanced and accurate electronic system. It is used by many automobile companies all over the world to replace steering control, brake control & throttle control. It also gives designers more space because there is a reduction in mechanical linkages inside the car. Some safety issues of which the people would have to be made aware, such as this system is completely safe as it is being used successfully in civil aircraft & military for years now.
Efficient Motor Commutation through Advanced Position Sensing - The Trend tow...HEINZ OYRER
The session describes how contactless magnetic position sensors are optimized for use in high-speed brushless DC (BLDC) motors to meet reliability/efficiency requirements.
Attendees will learn:
• Major advantages of BLDC motors including higher efficiency, low noise, longer life, and higher reliability
• Key position sensing parameters and their relevance in the applications
• How contact-less magnetic position sensors are optimized for use in BLDC motor apps
• BLDC motor applications and key requirements in automotive and automation industries
Why electric vehicles need model-based design?
Because of the rising complexity in new vehicles, model-based design & systems engineering is needed to cascade the requirements and trace back any modification along the engineering lifecycle. Find out more in this presentation of a customer case about electric motor optimization.
20160706 Automotive SYS: "Evolving Needs for Software Systems - Demonstrated"Alexander Much
A workshop on Automotive SYS 2016 which details current software architectures for safety systems, secure automotive Ethernet communication and how to build dynamically reconfigurable systems with AUTOSAR.
PREFAC
The main aim of the Project was to make a Robot which is controlled by any mobile phone. The Detection of the Signal is done in Several Steps. Firstly, the Input Signal is sent to DTMF, which processes the signal and sends the 4 bit output to ROM which gives output to the Motor Driver IC on specific 4 bit inputs and the Motor Driver IC powers the motors of the car accordingly.
The Surveillance System is one which is used for the purpose of security system in intrude areas. This system is designed to develop a video monitoring, capturing the image and to store video frames in SD (Secure Digital) memory mounted on the ROBOT for further verification.
A Silicon valley startup is building a surveillance robot that it hope will help security and law enforcement personnel detect trouble while remaining out of harm’s way.
Robot are essentially a self-contained tribute to the wonders of technology. The most advance models use fast computer processing, high- definition cameras, artificial intelligence.
Here we contemplate some of the likely future technologies based on an analysis of the patent landscape. Many innovations have been patented but not yet made commercially available, due to the time-frame for commercial acceptance as well as testing and certification. Additional description of each technology is shown below, including the order we believe will have the greatest impact on LCOE, AEP, CapEx, and OpEx. More insight and analysis on these technology trends will be shared in our Global Wind Technology Trends Report, due out in Q3, 2017.
Keynote of the French Space Agency CNES on the Asteroidlander MASCOT boarding the Hayabusa2 mission in collaboration with the Japanese Space Agency JAXA and the German Aerospace Center DLR
More Related Content
Similar to X2C -a tool for model-based control development and automated code generationfor microprocessors
A Real-Time Interface for Xcos – an illustrative demonstration using a batter...Scilab
As part of an EU-founded research project, the Scilab based development tool LoRra (Low-Cost Rapid Control Prototyping Platform) was created. This allows the realization of the continuously model based and highly automated Rapid Control Prototyping (RCP) design process for embedded software within the Scilab / Xcos environment (cf. Figure 1). Based on the application battery management system (BMS), this paper presents a Real-Time interface for Scilab.
Addressing the challenges of position sensor solutions in safety critical aut...HEINZ OYRER
As automobiles evolve, design engineers are continuously calling for components that offer increased performance and flexibility. Further still are the requirements that these devices be versatile and adaptable to a wide range of applications. While traditional position sensing technologies have their strengths, the development of inductive sensing technology offers solutions to the technical challenges and needs of today's demanding automotive electronics. The design flexibility of this type of sensing technology makes it a robust and cost effective solution for many automotive applications. This is particularly true for sensors and other feedback electronics that are required to make cars safer, more fuel-efficient, and emissions friendly. This talk will discuss position sensor challenges such as the issue of stray fields, harsh environments, installation space, mechanical tolerances, as well as levels of accuracy performance for safety critical applications such as electronic power steering (EPS) and electrical motor control to meet new safety and efficiency regulations.
Induction Motors Matching Permanent Magnet Performances at Lower Costsfernando nuño
Due to a continued concern on the external dependence of permanent magnets in Europe, induction technology is being pushed beyond its limits to maximise performance.
With novel materials, material characterisation and multi-domain design, power-speed capability of laminated rotor induction motors can match that typically associated with surface permanent magnet machines, at a fraction of the cost.
This session reviews the findings relating to lower cost induction motors, highlighting how they can successfully be used as an alternative to permanent magnets.
Speed Synchronization of Multiple Bldcmotors In Textile &Paper Mills Using Mi...IJERA Editor
Multiple motor setup has vast application in industries. The application can be in textile mills, paper mills and robotics. In these all application the synchronization is must between the motors to perform certain task. Speed synchronization is very essential in these all operation to avoid damage to the product. The synchronization is done by using microcontroller chip which controls the master slave whose speed is followed by the other motors which all have to be synchronized.
Drive by-wire systems in Automobiles pptABHISHEKPUND
The drive-by-wire is one of the recently developed technologies in the automotive industry. This ensures completely new driving with new dimensions. It changes bulky and inaccurate mechanical systems with an advanced and accurate electronic system. It is used by many automobile companies all over the world to replace steering control, brake control & throttle control. It also gives designers more space because there is a reduction in mechanical linkages inside the car. Some safety issues of which the people would have to be made aware, such as this system is completely safe as it is being used successfully in civil aircraft & military for years now.
Efficient Motor Commutation through Advanced Position Sensing - The Trend tow...HEINZ OYRER
The session describes how contactless magnetic position sensors are optimized for use in high-speed brushless DC (BLDC) motors to meet reliability/efficiency requirements.
Attendees will learn:
• Major advantages of BLDC motors including higher efficiency, low noise, longer life, and higher reliability
• Key position sensing parameters and their relevance in the applications
• How contact-less magnetic position sensors are optimized for use in BLDC motor apps
• BLDC motor applications and key requirements in automotive and automation industries
Why electric vehicles need model-based design?
Because of the rising complexity in new vehicles, model-based design & systems engineering is needed to cascade the requirements and trace back any modification along the engineering lifecycle. Find out more in this presentation of a customer case about electric motor optimization.
20160706 Automotive SYS: "Evolving Needs for Software Systems - Demonstrated"Alexander Much
A workshop on Automotive SYS 2016 which details current software architectures for safety systems, secure automotive Ethernet communication and how to build dynamically reconfigurable systems with AUTOSAR.
PREFAC
The main aim of the Project was to make a Robot which is controlled by any mobile phone. The Detection of the Signal is done in Several Steps. Firstly, the Input Signal is sent to DTMF, which processes the signal and sends the 4 bit output to ROM which gives output to the Motor Driver IC on specific 4 bit inputs and the Motor Driver IC powers the motors of the car accordingly.
The Surveillance System is one which is used for the purpose of security system in intrude areas. This system is designed to develop a video monitoring, capturing the image and to store video frames in SD (Secure Digital) memory mounted on the ROBOT for further verification.
A Silicon valley startup is building a surveillance robot that it hope will help security and law enforcement personnel detect trouble while remaining out of harm’s way.
Robot are essentially a self-contained tribute to the wonders of technology. The most advance models use fast computer processing, high- definition cameras, artificial intelligence.
Here we contemplate some of the likely future technologies based on an analysis of the patent landscape. Many innovations have been patented but not yet made commercially available, due to the time-frame for commercial acceptance as well as testing and certification. Additional description of each technology is shown below, including the order we believe will have the greatest impact on LCOE, AEP, CapEx, and OpEx. More insight and analysis on these technology trends will be shared in our Global Wind Technology Trends Report, due out in Q3, 2017.
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Keynote of the French Space Agency CNES on the Asteroidlander MASCOT boarding the Hayabusa2 mission in collaboration with the Japanese Space Agency JAXA and the German Aerospace Center DLR
Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...Scilab
Rapid Prototyping becomes very popular for faster algorithm development. With a graphical representation of the algorithm and the possibility to simulate complete designs, engineers can help to reduce the time to market. A tight integration with MPLAB-X IDE allows the combination with standard C-coding to easily get mass production code. This solution was used to optimise a sensorless field oriented controlled PMSM motor driven pump efficiency. A model for closed loop simulation was developed using X2C blocks [1][2] for the FOC algorithm based on the existing application note AN1292 [3]. Enhancements to the original version were implemented and verified with simulation. The X2C Communicator was used to generate code of the new algorithm. With the online debugging capabilities and the scope functionality the algorithm was further tuned and optimized to achieve the highest possible efficiency of the pump.
Scilab and Xcos for Very Low Earth Orbits satellites modellingScilab
Very Low Earth Orbits are orbits in altitudes lower than 450 km. The interaction between the atmosphere particles and the surfaces of the spacecraft is responsible for the aerodynamic torques and forces. Simulating several aspects of the performance of a satellite flying in VLEO is very important to make decisions about the design of the spacecraft and the mission.
Aircraft Simulation Model and Flight Control Laws Design Using Scilab and XCosScilab
The increasing demand in the aerospace industry for safety and performance has been requiring even more resourceful flight control laws in all market segments, since the airliners until the newest flying cars. The de facto standard for flight control laws design makes extensive use of tools supporting numerical computing and dynamic systems visual modeling, such that Scilab and XCos can nicely suit this kind of development.
Multiobjective optimization and Genetic algorithms in ScilabScilab
In this Scilab tutorial we discuss about the importance of multiobjective optimization and we give an overview of all possible Pareto frontiers. Moreover we show how to use the NSGA-II algorithm available in Scilab.
Customizing Xcos with new Blocks and PaletteScilab
In this tutorial, we show how to create and customize Xcos blocks and palettes. Moreover, we use the "Xcos toolbox skeleton" for a better result. The LHY model in Xcos scheme (already developed in other tutorials) is used as a starting point.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.