Best Practices for Establishing a Model-Based Design Culture

The transition to Model-Based Design requires careful management, both to demonstrate its short-term benefits and establish a culture that enables the full realization of the theoretical benefits of this approach. In this session, we introduce the concepts of Model-Based Design, highlight some of its benefits, and discuss in detail 10 best practices for adapting Model-Based Design across an organization. These best practices have been gleaned from successful and not-so-successful transformations to Model-Based Design at companies from a variety of industries.

Jim Burck, Johns Hopkins University/APL

The Revolutionizing Prosthetics 2009 program is producing a neurally controlled upper limb prosthetic by the Spring of 2010. This presentation provides an overview of the program and ways that MathWorks tools have been used for collaboration, prototyping, and embedded development throughout the program.

Jim Burck has 20 years of embedded software and systems development in industry for U.S. Military avionics systems. Currently employed at the Johns Hopkins Applied Physics Laboratory in Laurel, MD as the Systems Engineer and Virtual Integration Environment Team Lead for the Revolutionizing Prosthetics 2009 program. Burck hold a B.S. in Electrical Engineering and an M.S. in Computer Science from Johns Hopkins University.

Using Physical Modeling Tools to Design Power-Optimized Aircraft

A number of initiatives are underway to make tomorrow’s aircraft more efficient while reducing aircraft emissions. Projects such as the Power-Optimized Aircraft and the Clean Sky Joint Technology Initiative are focused on finding more efficient ways of transporting power throughout an aircraft while improving the environmental impact of air transport. Efforts like these require an optimized system design. This talk focuses on achieving this goal by modeling a flight actuation system and performing tradeoff studies that can lead to more realistic requirements and optimized system performance.

Dr. Mohamed Belkhayat and Robert McNeal, Northrop Grumman

This presentation discusses a cost-effective hardware-in-the-loop (HIL) environment integrated into Simulink to achieve real-time simulation. Using a National Instruments data acquisition card in conjunction with Simulink, a Schweitzer Engineering Laboratory (SEL) relay was integrated into a Simulink power system fault transient simulation. The sequence of events, from the fault initialization to the breaker opening, was captured through the Simulink model. During the simulation, the relay was fed generator terminal voltages and currents from the Simulink simulation. When the relay detects a fault condition, it sends an open breaker signal back to the simulation. The simulation opens the virtual breaker until the fault is cleared and the open-breaker signal from the relay ceases.

Mohamed Belkhayat received his Ph.D. in Electrical Engineering from Purdue University. He taught at the Naval Postgraduate School and the Naval Academy. Currently, he is a research engineer with Northrop Grumman. His focus is in modeling, simulation, and analysis of advanced naval power systems.

Robert McNeal received his undergraduate degree in Electrical Engineering from Virginia Polytechnic Institute and State University. He is currently pursuing his graduate degree in Systems Engineering from the University of Virginia. Currently, he is an associate engineer for Northrop Grumman Shipbuilding. His focus is in modeling, simulation, and analysis of advanced naval power systems.

Developing Communications and ISR Systems Using MATLAB and Simulink

A video surveillance UAV application will provide attendees with an example of the integrated design and modeling of three subsystems in a single development environment. An antenna pointing control subsystem, a video imaging subsystem, and a communications link will be jointly modeled in Simulink with several components implemented as Embedded MATLAB blocks. Real-world trade-offs of control loop response, platform motions, bit error rates, and video processing complexity will serve to illustrate the ease with which Simulink enables multidomain modeling.

Multidisciplinary Control Law Design Process using Mathworks Tools

This presentation provides an overview of the flight control law development process and how Mathworks tools are utilized in a typical product cycle. The flight control law development process being utilized represents a multidisciplinary application of certification requirements, control science stability requirements, piloted aircraft handling qualities requirements, and aero-servo-elastic coupling considerations. This highly integrated approach allows for simultaneous compliance with the criteria in these four areas by operating on condition-specific linear properties of the aircraft rigid-body dynamics, the aircraft sensor and control system dynamics, including time delays, and the aircraft flexible body modes.

Nomaan Saeed is employed at Gulfstream Aerospace Corporation in Savannah, GA, as the Flight Sciences Engineer. He specializes is in Flight Control Design and Analysis, Modeling/Simulation of Aircraft, Aircraft Loads, and Aeroservoelasticity. He has more than 10 years of experience with Mathworks products. Saeed holds a B.S. and M.S. in Aerospace Engineering from Delft University of Technology in the Netherlands.

Solving Data Analysis Challenges Using MATLAB and Statistics Products

Engineers often have significant quantities of data that need to be analyzed. Complicating the need to rapidly analyze the data are anomalies (drop-outs, sensor failures, etc.) which often lead to manual and laborious tasks to discover, categorize, and deal with missing or bad data. An example application will be presented in order to demonstrate how MATLAB and statistics add-on products can be used to improve data quality and enhance understanding of the data through quantitative statistical methods.

Model-Based Design for Safety-Critical Systems

MathWorks products enable Model-Based Design, which helps improve engineering productivity with safety-critical systems, including those that must meet DO-178B certification standards. A workflow will be presented to demonstrate how MathWorks tools can be used for requirements validation, algorithm design, traceability, code generation, test generation, formal methods verification, and processor in-the-loop testing. Interfaces to requirements management and configuration management tools will also be presented.

Verification and Validation of Models and Code

Verification and validation has emerged as one of the most promising areas for improvement at organizations using Model-Based Design. New V&V methodologies and tools are now available to help address pressing problems with quality and development process inefficiencies. This presentation concentrates on V&V tools and techniques for verifying detailed component models and the code generated from those models. These techniques include formal analysis, test generation, requirements testing, and standards checking.

Introduction to Parallel Computing with MATLAB

This master class will show you how the new products and features for MATLAB enable you to take advantage of recent advances in computer hardware, from multiprocessor machines to computer clusters. You will learn how to utilize multiple cores in your desktop machine through the new parallelism capabilities of MATLAB and Parallel Computing Toolbox. We will also introduce the use of MATLAB Distributed Computing Server on a computer cluster to speed up your algorithms and handle larger data sets.

Introduction to Object-Oriented Programming in MATLAB

R2008a included a major update to object-oriented programming in MATLAB, enabling easier development and maintenance of large applications and data structures. Using engineering examples, this master class will demonstrate how to define classes and work with objects, highlighting the benefits of this programming approach over traditional procedural techniques. Features covered include class definitions, properties, property attributes, methods, method attributes, and inheritance. No knowledge of object-oriented programming is required.

Embedded MATLAB: Designing Embeddable Algorithms and Automatically Generating C Code with MATLAB

In this workshop, we will showcase new capabilities of MathWorks products that enable you to automatically generate C code from your Embedded MATLAB code. We learn about these capabilities by going through an example for the design of a video processing system. Through demonstrations, you will learn:

• How to create and modify your MATLAB algorithms to be compliant with the Embedded MATLAB language subset
• How to generate C code from your Embedded MATLAB code directly from MATLAB desktop
• How to call your Embedded MATLAB code as a new block within Simulink to integrate and simulate your algorithm as part of a larger system model

New Concepts and Tools for Effective Verification and Validation Based on Model Analysis

Verification and validation is critical for implementation of Model-Based Design in production programs. This master class will introduce new concepts and tools for effective verification and validation based on model analysis techniques. You will learn how to:

• Verify that your models meet requriements and modeling standards
• Prove correctness of the generated code and trace this information back to the model
• Use automation and tools to aid with design reviews and document generation