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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control

    Department of Mechanical EngineeringThe University of Texas at Austin

    Vehicle System Dynamics and ControlIntroduction and Course Overview

    Prof. R.G. Longoria

    Spring 2013

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control

    Department of Mechanical EngineeringThe University of Texas at Austin

    Overview

    These slides were not presented in lecture.

    The content reviews some ideas and conceptsthat have motivated this course and the

    contents.

    Review at a high level.

    Any comments are appreciated.

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control

    Department of Mechanical EngineeringThe University of Texas at Austin

    A definition of mobility

    mobile adj. capable of moving or being moved

    mobility n. having the capacity to move or to bemoved from place to place

    locomotion n. the act of moving or ability to

    move from place to place (L locus, place)

    This course is concerned with how vehicle systems and

    controls enable locomotion via ground mobility.

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control

    Department of Mechanical EngineeringThe University of Texas at Austin

    Vehicle Systems

    In our current technological state, enhanced

    mobility requires use of a vehicle.

    Vehicle n. Any device for carrying passengers,

    goods, or equipment, usually one moving on

    wheels or runners, as a car or sled. Automotive adj. of or pertaining to self-

    propelled vehicles

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control

    Department of Mechanical EngineeringThe University of Texas at Austin

    Automotive On-Road, Passenger

    GM Autonomy concept

    BMW Series 7 roll stabilization

    Prius

    SaturnEscapeF-150

    Continuous

    technology

    innovation

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control

    Department of Mechanical EngineeringThe University of Texas at Austin

    Off-Road Industrial/Utility/Military

    Toro Dingo

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Unmanned/Robotic GVs

    Foster-Miller TALON

    iRobot PackBot

    NASA Spirit

    Crusher

    (CMU)

    Urban Challenge (Stanford, VaTech)

    Google

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Personal Mobility

    Powered wheel-chairs

    SegwayHuman

    Transporter

    Human/NaturePowered Wheels

    Bicycles

    chainless

    Too innovative?

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    GV Classifications

    On-road, passenger

    Off-road, industrial, military

    Unmanned, autonomous

    Personal mobility

    Discussion Problem 1: These types of classifications imply

    certain types of constraints on the overall vehicle design based

    on how it is expected to operate.

    Choose the application area that interests you and discuss some of

    the design requirements that you think would be important.

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Ground Vehicle Classification

    Ground vehicle n. vehicles that are supported by the

    ground, in contrast to aircraft and marinecraft that in

    operation are supported by air and water, respectively

    Guided Ground Vehicle n. constrained to move along

    a fixed path (guide-way), such as railway vehicles and

    tracked levitated vehicles

    Non-Guided Ground Vehicle n. can move in various

    directions on the ground, such as on-road and off-road

    vehicles.

    Ref.: J.Y. Wong, Theory of Ground Vehicles

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Motion of a non-guided ground vehicle is

    controlled almost entirely by forces developed

    between the running gear (tires, tracks, or runners)

    and the road or terrain.

    These forces need to be well understood!

    Only for brief moments might

    this not be true.

    CarSim simulation of a vehicle

    leaving ground(see clog for link to animation).

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Morphology of Motor Vehicles and Environment

    per BekkerBekker (1956) discusses the following concepts

    in vehicle design, providing a basis for

    challenging the evolution of vehicle types.

    Form index

    Specific weight Size and Form

    Origin of Forms

    Form, environment, and their relationship

    Stabilization of Forms and Vehicle Concept

    Bekkers seminal works examine

    how a vehicle should be designedto meet requirements while

    considering the environment.

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Mieczyslaw G. Bekker

    (1905-1989)M.G. Bekker was a Polish-American engineer and scientist who

    graduated from Warsaw Technical University (Warsaw, Poland) in 1929.

    He moved to France in 1939, and from 1942 lived in Canada and the

    U.S. before finally settling in the U.S. in 1956.

    He was a leading specialist in the theory and design of military and off-the-road

    locomotion vehicles, and an originator of a new engineering discipline called

    "terramechanics". He worked for Polish Ministry of Military Affairs (1931-1939), lectured

    at the Warsaw Technical University (1936-1939) and several U.S. universities, then

    worked in General Motors laboratories in Santa Barbara, CA (1960-1970), and consulted

    with the Canadian and U.S. armies.

    Bekker authored the general idea and contributed significantly to the design and

    construction of the LRV (Lunar Roving Vehicle) used by missions Apollo 15, Apollo 16,

    and Apollo 17 on the Moon. He was an author of several patented inventions in the area of

    off-the-road vehicles, including those for extraterrestrial use.

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Form and EnvironmentIf the impact of the environment

    upon a vehicle form can be

    reflected in the value of the

    operational speed, then theattempt to improve vehicle

    morphology could be reduced to

    the study of means which would

    increase that speed in various

    terrain conditions, as visualized by

    the combination of various

    degrees of surface roughness withvarious degrees of mechanical

    strength of soil.

    (Bekker, 1956, p. 89)

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Bekkers work addressed selection of

    appropriate vehicle design for a givenenvironment

    I like these conceptual sketches!

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Course Objectives

    Study basic vehicle dynamics and gain familiarity with concepts

    in performance, handling, and ride analysis

    Practice using system analysis and design tools with the intentof increasing our capacity to

    understand and design modern and future vehicle systems/subsystems,

    understand these systems well enough to provide design support and

    diagnostic input, understand the impact of system changes on the practical aspects of

    manufacturing either production vehicles or one-off prototype vehicles.

    Use analytical/computational tools useful in vehicle system

    analysis and control design

    Study specific vehicle designs in typical operations on terrains

    of interest

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Type of background expected An engineering background with good knowledge of mechanics

    Prepared and willing to study and apply concepts from dynamic systems, vibrations,

    and control systems, and the typical type of mathematical models used in these areas:

    ODEs, state space, transfer functions, etc.

    Know how to run a digital simulation and how to present results and be willing to

    spend time getting these types of solutions running correctly

    Willing to learn how to use new types of software for modeling and analysis:

    Matlab/Simulink, LabVIEW Control and Simulation, MSC.ADAMS

    This course is meant to provide an opportunity to learn about vehicle dynamics and

    vehicle control systems. Active participation in the process is expected, including

    exploring other references and finding resources that improve understanding and

    expand on what has been discussed during lecture.

    It is not possible to cover everything during lecture that might be needed to solve all

    homework or project work, and it is expected that you will fill in gaps as needed to

    improve your understanding.

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    ME 379M/397 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Driver-Vehicle-Ground System

    Visual andOther Inputs

    Ground Conditions

    Driver

    Accelerator,

    Brakes

    Steering

    System

    SurfaceIrregularities

    Aerodynamic Loads

    Performance

    Handling

    Ride

    Adapted from Wong (2001)

    From Doebelin (1980)

    System-level diagram

    Vehicle systems and principal

    types of operating modes

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Remaining Discussion

    Assessing ground vehicle design

    Overview of vehicle system dynamics and

    types of models

    Control systems in vehicles

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Assessing Ground Vehicle Design

    How can you make sure that the (electro-mechanical) design of a vehicle enables it to be

    controlled to achieve specified mobilityrequirements?

    How do you rationalize a design?

    Rational mechanics (a definition):http://science.jrank.org/pages/10483/Newtonianism-Rational-Mechanics.html

    NOTE: I consider Wongs book takes more of a rational mechanics view, asopposed to Gillespies book which I think has a strong design appeal.

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Models for Design/ControlOur goal (in this course) is to study and gain appreciation for models

    appropriate for a given vehicle application/analysis:

    Large-scale, nonlinear complex, highly detailed computer models

    Very complex, subsystem models

    Require high maintenance and complex assembly

    Extensive development time (2-6 man/months), extensive data collection forparameters

    Capable of very impressive animations (CarSim, TruckSim, ADAMS, etc.)

    Small scale, linear or nonlinear models Mostly differential equations, combined with look-up tables, data, etc.

    Use steady state simplification or as computer models

    Used for the design and analysis of vehicle dynamics, embedded computercontrols

    Fast computational time Low cost to run and relatively short development time

    Useful for running many parametric studies

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Choosing a ModelMajor deciding factors are cost and time. The more detailed the

    model the higher the cost in terms of computer hardware,

    development time, run time and delivery time. It is always

    advisable to attempt to create a model that:

    1. Has only as many states as needed to capture the dominant modes of behavior that

    we are interested in.

    2. Has the least number of parameters; each parameter is associated with a datacollection cost and minimizing the data will minimize the total cost of the model.

    Furthermore, vehicle data is usually stochastic: the car mass is not fixed, it

    changes with the number of passengers or the amount of fuel in the tank, so does

    the tire stiffness that changes depending on the tire temperature. The smaller themodel the less data is required and that reduces uncertainty error in the model.

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Dynamics and System Dynamics

    Basic force analysis

    Skid steer (Bekker)

    Steering and handling

    Traction/BrakingThese figures illustrate

    typical analysis/modeling

    required vehicle systemdynamics.

    Emphasis on:

    -simplifying the model

    -using basic analysis that

    includes use of proper

    coordinate systems, FBDs,

    force analysis, etc.

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Vehicle Drive Train Systems

    Gillespie (1992)

    Drive trains are formed from:

    Clutches

    Manual transmissions and transaxles

    Automatic transmissions Electric drives

    Karnopp and Rosenberg (1970)

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Vehicle Performance

    We are here concerned with evaluating a vehicles ability to:

    Accelerate

    Develop drawbar pull Overcome obstacles

    Decelerate

    For a given application, it is necessary to decide

    how detailed to model the powertrain, tire-road

    interaction, etc.

    Purpose:

    For insight on how to improve the

    acceleration and braking responses of the

    vehicle.

    To determine the engine and powertraincharacteristics

    Assess energy consumption, efficiency, etc.

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Power-Speed Limits for Vehicles

    This graph shows estimates of

    maximum attainable speed for given

    vehicle specific power.

    The lower the line, the moreefficient the mode of locomotion.

    Gabrielli and von Karman found

    main factor is mechanical properties

    of materials (see clog for paper). Radical improvements may need

    to look at other than material

    improvements.

    Resistance of the environment tolocomotion also a large factor.

    Bekker, 1960

    Wheels on rails have a

    very different ratio of

    frontal area to mass andfall below the G-vonK line

    (much lower aero losses)

    [ ]

    20.001 hp/ton

    mph

    Pv

    mg

    v

    =

    =

    We may revisit this basic measure later

    when we study performance modeling.

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Vehicle Steering and Handling

    Qualities that refer to the response of the vehicle to the drivers commands

    and its ability to stabilize its motion against external disturbances.

    Handling evaluates the dynamics of the vehicle in response to driver's

    steering input. It includes cornering, directional stability, roll-over, and loadtransfer.

    With a driver in the loop, the vehicle system is considered closed-loop.

    Vehicle characteristics are often developed with specific steering inputs, for

    example, in order to derive open-loop response.

    Purpose:

    To improve the ability of the car to follow a desired steering input curve.

    Steering and suspension mechanisms rely on results from handling analysis.

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    ME 360/390 Prof. R.G. LongoriaVehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Handling

    Concerned with the motions of acar outside of its plane ofsymmetry

    responsiveness of a vehicle todriver input or the ease ofcontrol

    Handling often refers to anoverall measure of vehicle-driver interaction

    ease by which it is possible to steer orachieve a desired path

    ease by which a path or heading ismaintained

    Segel (1956)

    Handling is concerned with the

    yawing, rolling, and sideslipping

    as might result from steeringinputs or disturbances (e.g., wind,

    road, etc.)

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Example: Selecting Handling Model

    Select or develop a model with yaw and lateralvelocity as state variables.

    This basic and relatively low cost model isuseful for dynamic as well as steady stateturning, and can be used to experiment withfeedback controls for vehicle steering.

    Once a design is completed it can then be tested on more detailed and larger scale

    computer models that include significant nonlinearities and more states.

    The large scale models are less costly than testing on real cars, and allow for

    repeatable testing.Testing a physical vehicle might follow testing and parametric study using the

    computer simulations, which might be first used to fine tune a design.

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Vehicle Ride

    Ride characteristics are related to the vibration of the vehicleexcited by surface irregularities and its effect on passengersand/or payload.

    Ride can specifically refer to tactile and visual vibration (0-25Hz), while aural vibrations are characterized as noise (25-20,000 Hz).

    Purpose:

    To evaluate vehicle vibration, a critical criteria for judging thequality of a vehicle.

    To improve comfort and road isolation while maintainingwheel/ground contact.

    Suspension system design is primarily based on ride analysis.

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Vehicle Vibration Models

    Level of difficulty

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Example: CarSim model

    Body-fixed coordinate axes

    5 rigid bodies (body, 4 wheels)

    Vehicle body with 6 degrees of freedom (DOF)

    4 wheels have 1 translational DOF relative tothe body

    Each wheel has force from suspension

    tire force (3 directional components)

    Spin of wheels can be included in drivetrain

    separately from vehicle body/wheel dynamics

    See the Carsim website: www.carsim.com

    We may use an educational version of this program.

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Stability and Control

    Stability and control concepts will be

    introduced to study how a baseline vehicle

    system may perform.

    In addition to application to typical on-road

    vehicles, we may examine other types ofsystems such as:

    Ground robotic vehicles

    Personal mobility vehicles (bicycles, skateboards,etc.)

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Vehicle Control Systems

    Modern ground vehicle systems take advantage of and havemotivated many advancements in sensor, actuator, andcomputing technologies to achieve and/or improve

    performance in many different ways. Vehicle control systems can be categorized into three areas:

    Powertrain control this involves control of the power plant (e.g.,engine) and power transmission systems

    Vehicle motion control refers to control of a vehicles motion, andincludes ground speed control (cruise), braking/traction control,suspension control, and steering control

    Body control refers to systems that enhance energy control,communications, comfort, etc.

    In this course, we are mostly concerned with vehicle motion andto a lesser extent with powertrain; these two are somewhatintegrated in modern systems.

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Vehicle Dynamics Control (VDC)

    To enhance vehicle dynamic response, steering,

    stability, ride and handling

    Suspension control

    Steering control

    Braking control (e.g., ABS) Traction control systems (TCS)

    Electronic stability program (ESP) Electronic transmission-shift control

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Vehicle Subsystems Control

    Engine management and control

    Driveline control

    Electrical/electronic systems

    starter systems

    instrumentation and lighting

    comfort (cruise control, temperature, etc)

    Occupant safety systems

    restraint

    rollover

    Body

    control

    Powertrain

    control

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and Control Department of Mechanical EngineeringThe University of Texas at Austin

    Vehicle InnovationsDeveloped in Stages

    Basic: anti-lock braking,

    traction control*

    Next-stage: interactive

    vehicle dynamics (IVD)

    control or vehicle stabilitycontrol (VSC)

    Trend is toward coordinated

    efforts to achieve objectives

    *adapts engine torque to match available traction

    Powers and Nicastri (2000)

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and ControlDepartment of Mechanical Engineering

    The University of Texas at Austin

    Reliance on

    SensingSensors form an integral part of

    modern vehicles.

    Information from the sensors

    must be shared, and significant

    effort is required to make thiscost effective.

    Powers and Nicastri (2000)

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and ControlDepartment of Mechanical Engineering

    The University of Texas at Austin

    Electronic Stability Program (ESP)

    Without ESP

    With ESP

    From Bosch, 1999

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and ControlDepartment of Mechanical Engineering

    The University of Texas at Austin

    Summary

    We cant do it all remind me of that (when I go on tangents)

    Review dynamics as we introduce the different types of vehicle

    models. Motivate the need for controls.

    Use computer-based analysis and simulation to understand

    response behavior and the influence of controllers.

    There is some baseline material that will be covered through

    assignments/homework, with extensions made through projects.

    Have fun, build an appetite to learn more in this field.

    New for 2013: incorporate a writing project

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and ControlDepartment of Mechanical Engineering

    The University of Texas at Austin

    References

    Bekker, M.G., Theory of Land Locomotion: The Mechanics of Vehicle Mobility, The

    University of Michigan Press, Ann Arbor, MI, 1956 (1962).

    Bosch, R., Driving Safety Systems, SAE, 1999.

    Doebelin, E.O., System Modeling and Response, John Wiley and Sons, New York, 1980.

    Gillespie, T.D., Fundamentals of Vehicle Dynamics, SAE, Warrendale, PA, 1992.

    Goodwin, G.C., S.F. Graebe, and M.E. Salgado, Control System Design, Prentice-Hall, 2001.

    Hrovat, D. and W.F. Powers, Computer Control Systems for Automotive Power Trains, IEEE

    Control Systems Magazine, Vol. 8, pp. 3-10, August 1988.

    Karnopp, D. and R. Rosenberg, Application of Bond Graph Techniques to the Study of Drive

    Line Dynamics, Journal of Basic Engineering (ASME), pp. 355-362, June 1970.

    Powers, W.F. and P.R. Nicastri, Automotive vehicle control challenges in the 21st century,

    Control Engineering Practice, Vol. 8, pp. 605-618, 2000.

    Rajamani, R., Vehicle Dynamics and Control, Springer, New York, 2006.

    Ribbens, W.B., Understanding Automotive Electronics, Newnes, 1998 (5th edition). (1982

    edition, Radio Shack)

    Stockel, M.W., M.T. Stockel, and C. Johanson, Auto Fundamentals, The Goodheart-Willcox

    Company, Inc., Tinley Park, IL, 1996.

    N

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and ControlDepartment of Mechanical Engineering

    The University of Texas at Austin

    Notes

    Classical vehicle system dynamics assumes the body to be a rigid mass with

    six degrees of freedom.

    These degrees of freedom are studied separately under the assumption that

    for certain conditions only a subset of these six degrees of freedom willrepresent the dominant motion of the vehicle.

    Longitudinal acceleration and braking are studied separately usually under

    the title road loads.

    Lateral motion and yaw, the name given to the angular motion in thehorizontal plane, are studied in "handling".

    Heave and pitch, the names given to the vertical motion and the angular

    motion in the vertical plane, are usually separated and studied as "ride".

    N ( )

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and ControlDepartment of Mechanical Engineering

    The University of Texas at Austin

    Notes (cont)

    Ground vehicle design is an increasingly complex multi-disciplinary

    engineering task.

    We need to understand how forces and moments are related to the position,

    velocity, and acceleration of a ground vehicle. These forces and momentsmay:

    result from the surrounding environment, through the tires or body, thus the

    importance of road roughness and air drag, or

    be internally generated by vehicle subsystems, such as the engine, powertrain, or

    suspension mechanisms.

    Classical vehicle dynamics uses steady-state analysis which provides

    adequate design equations, relying on minimal complexity in models of tires

    and of the tire/road interface, dynamics of ride, steady state traction, and

    steady state steering.

    The arrival of digital computers has made more detailed and comprehensive

    analysis possible.

    N ( )

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    ME 360/390 Prof. R.G. Longoria

    Vehicle System Dynamics and ControlDepartment of Mechanical Engineering

    The University of Texas at Austin

    Notes (cont)

    Other important topics can be encountered in the study of vehicle dynamics,

    including tire dynamics, engine and powertrain dynamics.

    Tire dynamics is a field of critical importance in vehicle performance. The

    study of tire dynamics in the scope of vehicle dynamics attempts atdeveloping mathematical and computer models that predict the dynamics of

    the pneumatic tire.

    The analysis of powertrain dynamics including the dynamics of the clutch,

    transmission system, and final drive, includes the interaction between theengine, powertrain, wheel, tire, and terrain with the objective of improving

    the longitudinal time response of the vehicle.

    The challenge that faces vehicle system dynamicists today is not only in

    merely understanding the complex nonlinear dynamics of these areas but

    also in using modern CAD/CAE/CAM tools to integrate their design and

    computer controls in order to produce a highly responsive, comfortable, and

    safe ground vehicle.