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INTELLIGENT SUSPENSIONS

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									INTELLIGENT SUSPENSIONS

                      RAUNAQ SINGH


                    ANUBHAV AGRAWAL

   Interdisciplinary Approach to Research and Development
                           June 2011
        Acknowledgements
We are grateful for the support extended to the writers
   of all the publications referred during the research
“Take a suspension system & give it
a brain and you have the best ride
           in the world”
             INTRODUCTION
• Suspension systems are the legs of a automobile.

• Today we have complex suspension systems like
  Magnetic Ride system or the simple coil-damper
  arrangement.
 What we suggest!!


Take Precaution!!


 This is actually what our
   brain does the best.
          Actuate




Process


                Analyze
System Layout




Feedback
Analyze




                           3D
Horizontal    Vertical
                         Contour
Scanning     Scanning
                          Plot
Horizontal Scanning




  Constant                  2D raw      The ( x, y) is
 Imaging of     Edge      Image with     added to
  the road    detection   highlighted     array of
   surface                   edges      coordinates
Raw Input From The Camera
After Edge Detection
Vertical Scanning




  Laser sensors     Vertical     Added to
    for depth     Gradient of   the array of
   detection       the road     coordinates
Processing

• The array of coordinates obtained previously; thus providing us
  with an array of (x, y, z). This array is then given as input to a
  third script which continuously plots 3D contour of the road to

  be traversed.

• This 3D contour is then given as input to the back-propagation
  algorithm which processes it to provide output so as to trace
  the function.
Basic Contour Plot
Actuate



    Neural
               Signal       Suspension
   Network
             Conditioning     System.
   Output
Suspension System




  Displacement of Suspension Spring
Suspension Travelling Plot
Modification to Design




The controlled suspension is a modification of the current suspension
mechanism by way of attaching controlled hydraulic cylinders that are
aiding the suspension systems in controlling damping rates.
• The Hydraulic cylinders at 450 to aid in transfer of
  energy from the wheel.
• The Hydraulic cylinders are double acting cylinders
  without cushioning connected to the 5/3 valve
  system thus used in compression and expansion.
• powered by a single pump configuration to avoid
  pressure differences.
• independent system to each wheel hence
  neglecting the loss of power due to longer
  traversing distances.
   Conclusion
Traditional    Intelligent
Suspension    Suspension
             Cost-Benefit Ratio
• The cost to benefit ratio of a system was huge with millions of
  dollars being spent by companies to ensure passenger
  comfort.

• The use of current suspension and interfacing would save cost
  by eliminating the need for a new design.

• The neural networks required to run the system are machine
  independent(Java and python scripts running).
               Higher
              Response
                Time




 System                     Faster
 works at                 Hardware
maximum      Limitation   Increases
efficiency                   Cost




              Fail–Safe
              Expensive
Future Scope

     Incorporate over steer
        and under steer
        Driving patterns

       Modifying ECU to
         perform the
         processing

     Implementing a new
       Suspension system
     using a single cylinder

								
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