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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.
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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.