mobile | classic
Dataweek Electronics & Communications Technology Magazine





Follow us on:
Follow us on Facebook Share via Twitter Share via LinkedIn


Search...

Electronics Buyers' Guide

Electronics Manufacturing & Production Handbook 2019


 

Moving to model-based design
6 April 2005, Design Automation

Your system engineers define the specifications, which software engineers must then interpret to write code. How do you ensure that the system will correspond to the original concept?

Your powertrain design team wants to reduce testing on expensive engine hardware. How do you minimise test iterations while optimising system performance?

As a semiconductor designer, you work with multiple R&D teams to design efficient implementations of complex audio codec algorithms. How do you enable these teams to collaborate and share design drafts?

Problems like these, all too familiar to embedded systems and electronics engineers, can jeopardise project results. In independent industry studies, Jerome Krasner discovered that 51% of embedded design projects finish an average of 3,5 months behind schedule.

Specification changes are a major cause of project delay. Poorly communicated specifications, planning errors, and project complexity have a similarly profound effect on productivity (Figure 1). These problems are common in traditional development methods, which rely on document-based specifications that can be ambiguous and easily misunderstood.

Figure 1. Reasons for late projects, as reported by <i>Venture Development Corporation</i>. Note: Percentages sum to over 100% due to multiple responses
Figure 1. Reasons for late projects, as reported by Venture Development Corporation. Note: Percentages sum to over 100% due to multiple responses

Working with model-based design

Model-based design for embedded systems addresses all the key factors that delay a project, including changes in specifications, project complexity, and unrealistic schedules, because design teams work from a single Simulink model of the entire system and its environment. Engineering teams use the model throughout the development process - from requirements capture and design to implementation and test.

Figure 2. A Simulink model of an ultra wideband (UWB) multiband OFDM physical layer becomes the reference model for designing a fixed-point transmitter and receiver
Figure 2. A Simulink model of an ultra wideband (UWB) multiband OFDM physical layer becomes the reference model for designing a fixed-point transmitter and receiver

This model becomes an 'executable specification' and includes all the information needed to specify the software or hardware implementation, including fixed-point and timing behaviour. Simulation is used to show that the model is complete and works correctly. All the code and test benches for final system testing, verification, and deployment can be automatically generated from the model, saving time and avoiding the introduction of errors.

Model-based design reduces the complexity of large-scale system development by letting multiple design teams work in parallel to refine and optimise subsystem designs. As each subsystem is finalised, it can be incorporated into the overall system model.

Executable specifications

Graphical representations are at the heart of model-based design, starting with requirements gathering.

Traditionally, system engineers capture requirements in a paper specification that design engineers must interpret. Paper-based specifications shared among different teams are easily misinterpreted, and hand-written code increases the risk of propagating errors throughout the design process.

By sharing the same executable specification, design teams can bypass hand-written documentation, eliminate ambiguity and misinterpretation of specifications, and clearly communicate critical issues and decisions, including requirements changes.

Design with simulation

Developing hardware prototypes is costly and time-consuming. Design engineers are often unable to create multiple prototypes to explore design optimisations. Consequently, even designs that meet specifications may not be fully optimised.

Because the model provides a comprehensive description of the design, the development team can simulate its performance in a software environment, reducing the need for costly hardware prototypes. As a result, they can find and correct problems much earlier in the design process, refine the design, automatically update the executable specification, and perform more design tradeoffs in a shorter period of time.

The model provides continuity in the design and development process and can be used to test any optimisations proposed by the implementation team. As a result, the final product will be much closer to the original design.

Implementation with automatic code generation

The transition from design to implementation traditionally involves a design engineer transferring a set of plans to an implementation team. As with the transition from specification to design, misinterpretation at this point can cause errors.

Because the model is an executable specification, engineers can automatically generate code from the model for realtime prototyping and deployment in the target system. Automatic code generation enables engineers to eliminate hand-coding errors and reduce the time spent on writing and testing code. Any problems in the code are easily corrected by making changes to the model and regenerating code. This ensures that design specification integrity between the model and the code is maintained.

Continuous test and verification

Test and verification is traditionally the final step before product delivery. When design teams discover problems at this late point in the development process, they face two equally unattractive options: delay the product ship date or ship a sub-standard product.

The system model provides a 'golden' reference that can serve as the test bench for the hardware or software implementation. Like the model, the code can be tested and verified at any point in the design and simulation process. Because the Simulink model represents the exact system requirements, teams can use the design as a reference for generating test signals, troubleshoot and trace problems early in the development process, and streamline the verification of hardware or embedded software designs. Engineers can update the model and regenerate the code to realign the design with the specifications, reducing troubleshooting and correction time from months to days, or even hours.

The value of model-based design

By enabling engineers to design components in a complete system context, model-based design helps eliminate ambiguities and conflicting requirements from embedded system development. System designers can begin evaluating software and hardware designs without waiting for prototype products. Project planners can more realistically assess the resources required to implement the system-level design. The result is more innovation, improved product quality, and reduced time to market.


Credit(s)
Supplied By: Opti-Num Solutions
Tel: +27 11 325 6238
Fax: +27 11 325 6239
Email: info@optinum.co.za
www: www.optinum.co.za
  Share on Facebook Share via Twitter Share via LinkedIn    

Further reading:

  • Subrack configuration software
    31 July 2019, Actum Electronics, Design Automation
    Schroff has launched the EuropacPRO Subrack Configurator, an intelligent online design tool that enables users to configure individual EuropacPRO subracks for vertically-installed applications. This ...
  • Unified STM32 programming tool
    31 July 2019, EBV Electrolink, Design Automation
    Making life easier for STM32 microcontroller (MCU) and microprocessor (MPU) users, the latest version of the STM32CubeProgrammer from STMicroelectronics gathers the capabilities of multiple device programmers ...
  • Altium Designer gets 2019 update
    30 April 2019, EDA Technologies, Design Automation
    Altium Designer 19, the latest version of the company’s flagship PCB design software, introduces new features aimed at making the design of complex, high-quality projects easier, faster and more accurate, ...
  • DesignSpark surpasses 750 000 members
    30 April 2019, RS Components (SA), Design Automation
    RS Components’ DesignSpark online engineering community has grown to more than 750 000 members. Launched in 2010, DesignSpark provides design engineers and students around the globe with free tools, ...
  • Python programming comes to Nordic’s multiprotocol SoCs
    30 April 2019, RF Design, Design Automation
    Nordic Semiconductor announced that Zerynth, a New York-based Internet of Things (IoT) software developer, has extended the availability of its ‘Zerynth IoT middleware’ to Nordic’s nRF52840 Bluetooth ...
  • Würth extends design tool’s functionality
    30 April 2019, Würth Elektronik eiSos, Design Automation
    Würth Elektronik eiSos has extended its free online design tool, REDEXPERT. The simulation software is a highly precise option for AC loss calculation in switch mode power supplies, and now supports calculations ...
  • Espressif jumpstarts ESP32 development
    30 April 2019, iCorp Technologies, Design Automation
    Espressif Systems has introduced two tools to assist developers using its ESP32 microcontroller platform in simplifying and speeding up their designs. As developers know, building production-ready firmware ...
  • Motor drive evaluation board
    27 March 2019, Altron Arrow, Design Automation
    Infineon Technologies’ EVAL-M1-IM818-A evaluation board was developed to support customers during their first steps of applications with CIPOS Maxi IPMs (intelligent power modules). In combination with ...
  • Würth extends design tool’s functionality
    27 March 2019, Würth Elektronik eiSos, Design Automation
    Würth Elektronik eiSos has extended its free online design tool, REDEXPERT. The simulation software is a highly precise option for AC loss calculation in switch mode power supplies, and now supports calculations ...
  • Cloud-based design and evaluation platform
    27 February 2019, Altron Arrow, Design Automation
    ON Semiconductor has rolled out Strata Developer Studio, a cloud-based development platform that provides a seamless, personalised and secure environment for engineers to evaluate and design with ON Semiconductor ...
  • AVR MCUs get beta support in MPLAB X
    30 January 2019, Avnet South Africa, Design Automation
    Microchip Technology recently announced the release of MPLAB X integrated development environment (IDE) version 5.05, which beta supports the majority of AVR microcontrollers (MCUs). This release will ...
  • Programming and debugging probe
    14 November 2018, Altron Arrow, Design Automation
    STMicroelectronics has introduced the next-generation STLINK-V3 probe for programming and debugging STM8 and STM32 microcontrollers, adding enhancements to further increase flexibility and efficiency. ...

 
 
         
Contact:
Technews Publishing (Pty) Ltd
1st Floor, Stabilitas House
265 Kent Ave, Randburg, 2194
South Africa
Publications by Technews
Dataweek Electronics & Communications Technology
Electronics Buyers’ Guide (EBG)

Hi-Tech Security Solutions
Hi-Tech Security Business Directory

Motion Control in Southern Africa
Motion Control Buyers’ Guide (MCBG)

South African Instrumentation & Control
South African Instrumentation & Control Buyers’ Guide (IBG)
Other
Terms & conditions of use, including privacy policy
PAIA Manual





 

         
    Classic | Mobile

Copyright © Technews Publishing (Pty) Ltd. All rights reserved.