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3. Controlling Robot Car by Wireless Sensor

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Title: Integrated Project (EIE330) Author: Dr Daniel Lun Last modified by: Dr Daniel Lun Created Date: 12/7/2006 5:05:43 AM Document presentation format – PowerPoint PPT presentation

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Title: 3. Controlling Robot Car by Wireless Sensor


1
3. Controlling Robot Car by Wireless Sensor
  • The ultimate objective of the project is to
    control the car motion using the steering wheel
  • The only connection between the steering wheel
    and car racing system is the wireless marker
    attached to it
  • We have to make use of the marker data to control
    the car motion

Reference 1. J.M. Hart, Windows System
Programming, 3rd Ed., Addison-Wesley, 2005, Ch.7,
12
2
Problem of the Previous Program
  • The markers data are obtained by calling the
    function LatusUpdatePO()
  • In the previous program, LatusUpdatePO() are
    called inside the functions EIE330ProjectApprend
    erInfo and
  • EIE330ProjectAppprocessCalculation()
  • The above 2 functions will be called by Ogre only
    when it updates the screen
  • If the graphics is complex, the update rate can
    be very slow, e.g. 20 frames/sec or slower
  • It means that the markers data can only be
    obtained in such a slow rate

3
Update screen
Ogre main program
processCalculation()
mLatusUpdatePO()
If the screen is updated once per 100ms, markers
data can only be obtained in the same rate, i.e.
once per 100ms
renderInfo() mLatusUpdatePO()


Finish update screen
4
Solution - Multithreading
Update screen
Get Markers data
Ogre main program
processCalculation()
UpdatePO()
renderInfo()
Routine A and B run at the same time (virtually)


Routine B
Routine A
Finish
Finish update screen
5
Processes and Threads
  • In Windows, usually a process will be generated
    when an application is executed
  • When an application is executed m times, m
    processes will be generated, each with a
    different process ID
  • A Windows process contains its own independent
    virtual address space with both code and data
  • Each process contains one or more independently
    execution unit, called threads
  • The Windows thread is the basic executable unit
  • A process can
  • Create new threads within the processes
  • Create new, independent processes
  • Manage communication and synchronization between
    these objects

6
A Process And Its Threads
Windows
Process 1
Winword
Process 5
Process 2
Lab3
Notepad
Threads
Process 3
Process 4
Winword
Excel
7
Why Threads?
  • In normal execution, a program always needs to
    wait
  • Wait for user input, wait for screen display,
    wait for file access, etc.
  • It is unwise to require programs to execute one
    after the finish of another
  • Program B can make use of the waiting time of
    program A to start its execution as long as
    program B is not waiting for the result from
    program A
  • It was first proposed to achieve this by having
    multiple processes
  • However, it was soon found that the overhead
    (e.g. the time required) for switching between
    processes is very high
  • Besides, processes are not tightly coupled to one
    another, it is difficult to share resources, such
    as open files
  • They motivate the idea of further dividing a
    process into smaller units, i.e. threads

8
How Threads Are Executed?
  • A computer has only one CPU, which can execute
    one program at a time
  • Hence, in reality, threads are not executing at
    the same time, but alternatively one after the
    other
  • For a multithreading system, a thread has at
    least the following three states

Ready
Running
Start execution
Finish execution
Sleeping
9
  • Ready state
  • All threads that are ready to execute but without
    the CPU are at the ready state
  • If there is only 1 CPU in the system, all threads
    except one are at the ready state
  • Running state
  • The thread that actually possesses the CPU is at
    the running state
  • If there is only 1 CPU in the system, at most
    there is only one thread is at the running state
  • Sleeping state
  • The process that is waiting for other resources,
    e.g. I/O or a preset time, is at the sleeping
    state

10
  • Threads will alternatively get into the CPU one
    after the other (called the round robin scheme)
  • At the time that a thread is selected to be in
    the CPU
  • It goes from ready state to running state
  • After that, it will be swapped out
  • It goes from running state back to ready state
  • Or it may due to the waiting of a preset time
  • It goes from running state to sleeping state
  • When time-up
  • It goes from sleeping state to ready state

11
Implementation - CreateThread
  • HANDLE CreateThread (
  • LPSECURITY_ATTRIBUTES lpsa,
  • DWORD dwStackSize,
  • LPTHREAD_START_ROUTINE lpStartAddr,
  • LPVOID lpvThreadParm,
  • DWORD dwCreationFlag,
  • LPDWORD lpThreadId )

Example
HANDLE mThread // Handle to thread DWORD
mThreadId // Use to store the thread
id UpdateParaStruct pUPS new UpdateParaStruct
// Define a structure to store passing
parameters mThread CreateThread(NULL, 0,
RunningUpdateThread, (LPVOID)pUPS, 0,
mThreadId)
12
CreateThread Parameters
  • Input parameters
  • lpsa A pointer to a security attribute
    structure. It determines whether the returned
    handle can be inherited by child processes. If
    lpsa is NULL, the handle cannot be inherited
  • dwStackSize Indicate threads stack size. Use 0
    for default size
  • lpStartAddr A pointer to the function to be
    executed. For our example, the function
    RunningUpdateThread will be executed.
    RunningUpdateThread() should be defined as
    follows

DWORD WINAPI RunningUpdateThread (LPVOID
parameter)
13
CreateThread Parameters
  • lpvThreadParm A pointer passed as the thread
    argument. For our example, the pUPS pointer, i.e.
    the pointer of the structure UpdateThreadStruct,
    is passed to the thread function.
  • dwCreationFlag indicate the readiness of the
    thread. If 0, means that the thread is ready to
    run immediately
  • lpThreadId A pointer to a DWORD that receives
    the new threads identifier. The system will fill
    in it with the thread ID
  • CreateThread will return the handle to the thread
    created. A NULL handle value indicates a failure

14
Passing Parameters to Thread
  • A thread function only accepts one input
    parameter, i.e. lpvThreadParm
  • If more than one parameters are to be passed to a
    thread function, the most convenient way is to
    put them in a struct and pass its pointer, e.g.

struct UpdateParaStruct // For passing
2 data to the Update thread Latus pL bool
pExit
15
Receive the Passed Parameters
  • When the thread function receives this pointer,
    it should first tell the function what kind of
    pointer it is
  • Then retrieve the parameters stored in the
    structure

DWORD WINAPI RunningUpdateThread (LPVOID
parameter) UpdateParaStruct pUPS
(UpdateParaStruct ) parameter Latus pLatus
pUPS-gtpL bool pExit pUPS-gtpExit
16
To Control the Execution Rate of a Thread
  • To control the execution rate, the simplest way
    is to force the thread to sleep for some time

DWORD WINAPI RunningUpdateThread (LPVOID
parameter) UpdateParaStruct pUPS
(UpdateParaStruct ) parameter Latus pLatus
pUPS-gtpL bool pExit pUPS-gtpExit
while (true) pLatus-gtUpdatePO() Sleep(10)
// Force to sleep for 10msec return 0

For the about thread, assume the other part of
the program uses negligible amount of time, the
execution rate of this thread is approximately
once per 10msec
17
How a Thread Terminates
  • Most common way
  • A thread terminates itself by returning from the
    thread function using the exit code as the return
    value

DWORD WINAPI RunningUpdateThread (LPVOID
parameter) return 0 //exit code
0 //Never return 259 since it is equal to the
// constant STILL_ACTIVE, which is used
to // indicate the thread is still active
18
How to Know if a Thread is Still Alive
  • We can check if a thread is still alive by
    calling GetExitCodeThread(), e.g.

HANDLE hThread // Handle to thread DWORD
ThreadId // Use to store the thread
id UpdateParaStruct pUPS new
UpdateParaStruct hThread CreateThread(NULL,
0, StartPlayer, (LPVOID)pUPS, 0,
ThreadId) DWORD exitCode if(GetExitCodeThre
ad(hThread, (LPDWORD)exitCode)) stdcout ltlt
exitCode ltlt stdendl //GetExitCodeThread will
return nonzero if successful // The exit code is
stored in exitCode
19
Force a Thread to Terminate
  • The simplest way is to call the function
    TerminateThread(), but many side effects
  • Another way is to let the thread function to
    check frequently a shared variable which can be
    modified by the thread outside

DWORD WINAPI RunningUpdateThread (LPVOID
parameter) UpdateParaStruct pUPS
(UpdateParaStruct ) parameter Latus pLatus
pUPS-gtpL bool pExit pUPS-gtpExit
while (!(pExit)) return 0
Assume pExit is a pointer of a shared variable
which will be updated by a thread outside. If
that thread wants this thread to terminate, it
just needs to change such variable to TRUE
20
Thread A
21
Software Architecture for Lab 3
Thread 1
Thread 2
EIE330ProjectApp
UpdateParaStruct
RunningUpdateThread
Latus Exit 1 Exit 2
Game
mLatus-gtUpdatePO()
mLatus-gtAnalysis()
ActionParaStruct
mLatus mGame
Thread 3
RunningActionThread
Screen Update

mLatus-gtAction()
22
Analysis()
  • After receiving the markers data, we should
    analyze the data to determine the kind of action
    we should perform
  • The analysis is supposed to be done in a function
    LatusAnalysis() which should be called after
    each call to UpdatePO()
  • The analysis result should be put in an array of
    ActionStruct structs, each struct has 2 fields

23
Array of ActionStruct
ActionStruct mActionTable3
  • Based on the analysis result, a number should be
    put by the function LatusAnalysis() to the type
    of an ActionStruct to indicate the kind of action
    to be performed.
  • E.g.
  • type 1 go forward
  • type 2 go backward
  • type 3 turn right
  • type 4 turn left

type
data
1 0
4 0
3 0
mActionTable0
mActionTable1
mActionTable2
  • For some actions, you may want to provide
    additional data
  • Put it in the data field
  • In some cases, you may want to define a sequence
    of operations for each analysis result
  • Do it by filling in all 3 structs

24
Action()
  • After the action table is filled, the function
    LatusAction() should be called to carry out the
    operations defined in the table one by one
  • Since the car motion is much slower than the data
    received from the markers, the function Action()
    can be called in a much slower rate
  • A separated thread is used to called Action()
    called in thread function RunningActionThread()
  • The rate of execution of this thread should match
    with the command execution rate of Mindstorms
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