ID 021L: Model Based Control Design and Auto-Code Generation using the R8C

Christopher Myers

Director of Software Development

12 October 2010

Version: 1.2

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Christopher Myers cmyers@simuquest.com

Director of Software Development Responsible for designing and managing development

of SimuQuest product lines Lead Developer of QuantiPhi, a line of code generation

tools that bring a hardware interface into the Simulink modeling environment.

PREVIOUS EXPERIENCE: Working in the area of model-based development

using MATLAB / Simulink since 2003. Production automotive and consumer electronics

experience at Motorola since 2000 Designed high-performance network appliances

designed to provide unparalleled visibility into network usage at Arbor Networks, Inc.

MS, BS from the University of Michigan

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Renesas Technology and Solution Portfolio

Microcontrollers& Microprocessors

#1 Market shareworldwide *

Analog andPower Devices#1 Market share

in low-voltageMOSFET**

Solutionsfor

InnovationASIC, ASSP& Memory

Advanced and proven technologies

* MCU: 31% revenue basis from Gartner "Semiconductor Applications Worldwide Annual Market Share: Database" 25 March 2010

** Power MOSFET: 17.1% on unit basis from Marketing Eye 2009 (17.1% on unit basis).

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Renesas Technology and Solution Portfolio

Microcontrollers& Microprocessors

#1 Market shareworldwide *

Analog andPower Devices#1 Market share

in low-voltageMOSFET**

ASIC, ASSP& Memory

Advanced and proven technologies

* MCU: 31% revenue basis from Gartner "Semiconductor Applications Worldwide Annual Market Share: Database" 25 March 2010

** Power MOSFET: 17.1% on unit basis from Marketing Eye 2009 (17.1% on unit basis).

Solutionsfor

Innovation

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Microcontroller and Microprocessor Line-up

Superscalar, MMU, Multimedia Up to 1200 DMIPS, 45, 65 & 90nm process Video and audio processing on Linux Server, Industrial & Automotive

Up to 500 DMIPS, 150 & 90nm process 600uA/MHz, 1.5 uA standby Medical, Automotive & Industrial

Legacy Cores Next-generation migration to RX

High Performance CPU, FPU, DSC

Embedded Security

Up to 10 DMIPS, 130nm process350 uA/MHz, 1uA standbyCapacitive touch

Up to 25 DMIPS, 150nm process190 uA/MHz, 0.3uA standbyApplication-specific integration

Up to 25 DMIPS, 180, 90nm process 1mA/MHz, 100uA standby Crypto engine, Hardware security

Up to 165 DMIPS, 90nm process 500uA/MHz, 2.5 uA standby Ethernet, CAN, USB, Motor Control, TFT Display

High Performance CPU, Low Power

Ultra Low PowerGeneral Purpose

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Microcontroller and Microprocessor Line-up

Superscalar, MMU, Multimedia Up to 1200 DMIPS, 45, 65 & 90nm process Video and audio processing on Linux Server, Industrial & Automotive

Up to 500 DMIPS, 150 & 90nm process 600uA/MHz, 1.5 uA standby Medical, Automotive & Industrial

Legacy Cores Next-generation migration to RX

High Performance CPU, FPU, DSC

Embedded Security

Up to 10 DMIPS, 130nm process350 uA/MHz, 1uA standbyCapacitive touch

Up to 25 DMIPS, 150nm process190 uA/MHz, 0.3uA standbyApplication-specific integration

Up to 25 DMIPS, 180, 90nm process 1mA/MHz, 100uA standby Crypto engine, Hardware security

Up to 165 DMIPS, 90nm process 500uA/MHz, 2.5 uA standby Ethernet, CAN, USB, Motor Control, TFT Display

High Performance CPU, Low Power

Ultra Low PowerGeneral Purpose

R8C

16 Bit CISC Superb Noise PerformanceLow Power Consumption

Higher FunctionalityASSP Lineup

Low Pin Count Lineup

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Innovation: Innovate Faster

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Model-Based Design

Model-Based Design and Automatic Code Generation is the future of embedded controls. SimuQuest believes that as companies across all industries realize the innovation advantage that it provides, it will play a part in the design of nearly all embedded systems worldwide.

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Agenda

Introduction to modeling and auto-code generation Introduction to MATLAB / Simulink / Stateflow Lab: Modeling controls in Simulink / Stateflow Discussion of auto-code generation for a target Lab: Generating code for an R8C controller Q&A

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Key Takeaways

Models helps define requirements Models can be simulated Models can be auto-coded Auto-coding saves you time Auto-coding is powerful!

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Idea #1

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Idea #2

QuantiPhi REfor R8C/3X

Model C Code Target

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What is a Model?

Model = Abstraction

Real World

Outside

Software

Inside

Plant

Controller

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PlantPlantModelModel

ControlControlModelModel

plant outputcontrol outputcontrol input

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ControlControlModelModel

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Example: Engine Controller

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Plant

Our Ambient Lighting System

Tri-Color LEDs

E8a

Controller

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PlantPlantModelModel

ControlControlModelModel

plant output• momentary switch + noise • LED colors

control outputPWMs x6

control inputinput switch state

• Process input switches• LED Color? Intensity?• What frequency? Duty cycle?

• Model the input switches• Model PWM to RGB

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Lab Procedure - Phase 1

InputInputSwitchesSwitches DebounceDebounce LogicLogicNoiseNoise LEDsLEDs

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Lab Procedure - Phase 2

DebounceDebounce LogicLogicQuantiPhiQuantiPhi

PWMPWMOutputOutput

QuantiPhiQuantiPhiScheduling, Clock Configuration + BuildScheduling, Clock Configuration + Build

QuantiPhiQuantiPhiDigital Digital InputsInputs

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Our Auto-Coding Toolbox

MATLAB

QuantiPhiRTW Embedded Coder

Simulink & Stateflow

Base computing platform

Modeling platform

Auto-code generation Provides MCU configuration and device drivers.

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Questions?

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Start the Lab

Keep your dice turned to the section of the lab you are on. (Instructionsare provided in the lab handout)

Please refer to the Lab Handout and let’s get started!

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Checking Progress

We are using the die to keep track of where everyone is in the lab. Make sure to update it as you change sections.

When done with the lab, your die will have the 6 pointing up as shown here.

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Lab Phase 2

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Typical Auto-Coding Methodologies

Feature Effort =

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Typical Auto-Coding Methodologies

Feature 1

Feature n

“Application Layer”

Effort =

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Typical Auto-Coding Methodologies

Feature 1

Feature n

HardwareInterface

Effort =

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Interfacing With Hardware

InputInputSwitchesSwitches DebounceDebounce LogicLogicNoiseNoise LEDsLEDs

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Interfacing With Hardware

DebounceDebounce LogicLogicQuantiPhiQuantiPhi

PWMPWMOutputOutput

QuantiPhiQuantiPhiScheduling, Clock Configuration + BuildScheduling, Clock Configuration + Build

QuantiPhiQuantiPhiDigital Digital InputsInputs

SW4 pwm6

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Another Hardware Abstraction Layer Example

Example of analog counts to engineering units:

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R8C/3X Code-Gen Considerations

Don’t use floating point! (double, single)

Natural “int” size is 16 bits

Don’t run tasks too quickly (< 1ms for example)

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Start the Lab – Phase 2

Keep your dice turned to the section of the lab you are on. (Instructionsare provided in the lab handout)

Please refer to the Lab Handout and let’s get started!

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Checking Progress

We are using the die to keep track of where everyone is in the lab. Make sure to update it as you change sections.

When done with the lab, your die will have the 6 pointing up as shown here.

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Key Takeaways (Revisited)

Models helps define requirements Models can be simulated Models can be auto-coded Auto-coding saves you time Auto-coding is powerful!

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Innovation: Innovate Faster

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Questions?

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Thank You!