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136 Understanding Smart SensorsFigure 6.7 Systems integration in MC68HC705V8 IC. (Courtesy of Motorola, Inc.)Rx FIFO111 bytesDigitalfilterVBattHC05CPUCPUinterfacelogicRx FIFO011 bytesFIFO control/protocol handlerSymbolencoding/decodingJ1850busXcvrLoadREXT1REXT2J1850VPWbusTx FIFO11 bytesCRC gen./checkingVSSVCCFigure 6.8 SAE J1850 data link controller.
Communications for Smart Sensors 1376.8.2 MCU With Integrated CANSeveral semiconductor manufacturers have implemented the CAN protocol ona variety of microcontrollers. The integrated CAN solution contains a variety ofI/O, memory, and other system features. One key point of the CAN protocol isthat, although a set of basic features must be implemented in any CAN device,a number of extended features may also be implemented in silicon, dependingon the intended target application. The implications must be understood wheninteroperability and interchangeability are being considered. A number ofsemiconductor manufacturers have designed and offer several solutions. In fact,the broad product availability is among the reasons that industrial users arechoosing CAN [7].An example of the CAN protocol implemented in an MCU is providedby Motorola’s M68HC05 microcontroller family. This CAN implementationconforms to the CAN 2.0 part A specification. All Motorola CAN (MCAN)devices include automatic bus arbitration, collision resolution, transmissionretry, digital noise filtering, message ID filtering, frame generation and checking,CRC generation and checking, as well as single transmission and multiplereceive frame buffers [20]. As shown in Figure 6.9, the MCAN module containsfull message transmit and receive buffers and limited message filteringcapability [21]. The integrated bus interface includes input comparators andCMOS output drivers. However, an external transceiver may be necessary,depending on the user’s application.The CAN module is totally CPU independent and can be integrated witha CPU core, other MCU hardware, and I/O functions into a single chip.Figure 6.10 shows the block diagram of a 32-bit reduced instruction set computer(RISC) microcontroller with two integrated CAN 2.0 B (Toucan) modules[22]. The chip has two third-generation timer processing units that canhandle fuel and spark computations without interrupting the main processor.Each unit has its own 32-bit MicroRISC engine, capable of processing 20 millioninstructions per second, and features its own onboard scheduler and 16timer channels. Additional peripherals include two queued ADC modules, aqueued serial multichannel module with two high-speed universal asynchronousreceiver transmitters and a queued serial port, an 18-channel modularinput/output subsystem (MIOS1), and a system-bus interface control blockwith general-purpose I/O support. This complex chip was designed specificallyfor automotive powertrain control.For automakers to achieve complete system functionality, a range ofproducts must be available. Table 6.6 lists other lower cost 8-bit MCUs witha variety of features [23]. Example software drivers available for these units
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Understanding Smart SensorsSecond E
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Library of Congress Cataloging-in-P
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ContentsPrefacexix1 Smart Sensor Ba
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Contentsix3.3.3 Hall Effect 603.3.4
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Contentsxi5.8 Summary 116References
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Contentsxiii8.3.1 Surface Acoustica
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Contentsxv11.1.1 Integration and Me
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Contentsxvii14.4.4 Electrostatic Me
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PrefaceThe number one challenge fac
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Prefacexxifor well over 6 years. A
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2 Understanding Smart Sensorsobserv
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4 Understanding Smart Sensorssmart
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6 Understanding Smart Sensorsto pro
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8 Understanding Smart Sensorsinclud
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10 Understanding Smart SensorsLevel
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12 Understanding Smart Sensorsuser
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14 Understanding Smart Sensorstechn
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16 Understanding Smart Sensorschang
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18 Understanding Smart Sensorstechn
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20 Understanding Smart Sensors Surf
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22 Understanding Smart Sensorssecon
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24 Understanding Smart SensorsSilic
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26 Understanding Smart SensorsSilic
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28 Understanding Smart SensorsSacri
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30 Understanding Smart Sensors2.4.3
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32 Understanding Smart Sensorsmeasu
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34 Understanding Smart SensorsIon+S
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36 Understanding Smart Sensorssidew
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38 Understanding Smart SensorsTable
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40 Understanding Smart Sensorsoptim
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42 Understanding Smart SensorsAlumi
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44 Understanding Smart SensorsThe f
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46 Understanding Smart Sensors[21]
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The Nature of Semiconductor Sensor
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4Getting Sensor Information Into th
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Getting Sensor Information Into the
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Transceivers, Transponders, and Tel
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9MEMS Beyond Sensors“And these ot
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MEMS Beyond Sensors 203would not ex
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MEMS Beyond Sensors 205PyrexSilicon
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MEMS Beyond Sensors 207(a)IFluxIIMa
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MEMS Beyond Sensors 209InletThermop
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MEMS Beyond Sensors 211Figure 9.8 A
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MEMS Beyond Sensors 2139.3.2 Microo
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MEMS Beyond Sensors 215Over-range p
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MEMS Beyond Sensors 217+ 10°− 10
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MEMS Beyond Sensors 219achieved wit
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MEMS Beyond Sensors 221Methods for
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MEMS Beyond Sensors 223Figure 9.19
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MEMS Beyond Sensors 225[21] Tortone
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10Packaging, Testing, and Reliabili
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Packaging, Testing, and Reliability
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11Mechatronics and Sensing SystemsP
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Mechatronics and Sensing Systems 25
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12Standards for Smart SensingThe la
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Standards for Smart Sensing 275Netw
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Standards for Smart Sensing 277NCAP
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Standards for Smart Sensing 279Proc
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Standards for Smart Sensing 281PID
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Standards for Smart Sensing 283•
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Standards for Smart Sensing 285•
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Standards for Smart Sensing 287Tabl
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Standards for Smart Sensing 289perf
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Standards for Smart Sensing 2911 0
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Standards for Smart Sensing 293obje
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Standards for Smart Sensing 295Mult
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13The Implications of Smart SensorS
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The Implications of Smart Sensor St
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14The Next Phase of Sensing Systems
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The Next Phase of Sensing Systems 3
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List of Acronyms and Abbreviations3
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List of Acronyms and Abbreviations
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Glossaryablationvaporization of mat
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Glossary 353buscalibrationconnectio
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Glossary 355end point straight line
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Glossary 357data transmission and p
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Glossary 359multiplexer device that
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Glossary 361repeatability the maxim
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Glossary 363spread spectrum techniq
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Glossary 365transducer a device con
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Selected BibliographyBooks and Jour
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Selected Bibliography 369Northeaste
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Selected Bibliography 371Miscellane
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About the AuthorRandy Frank is a te
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Index4-to 20-mA signal transmitter,
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Index 377definitions, 119-20introdu
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Index 379HVAC, 318-19MCU with integ
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Index 381Linearization, 108Linear p
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Index 383in chemical measurements,
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Index 385Ratiometricity, 56Reactive
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Index 387IC fabrication, 19micromec
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Index 389Transducer-independent int
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