Systems, Man & Cybernetics - July 2016 - 7
BACKGROUND -©ISTOCKPHOTO/NOPPARIT
Vehicle manufacturers need to spend millions of dollars on testing and performance evaluations for each
new vehicle design (e.g., each new vehicle's axes, chassis, suspension system, engine, gear-shifting modes,
steering, and brake controls, to name a few). Besides the
high cost, testing with real prototype vehicles is timeconsuming and potentially risky for the test drivers.
These drawbacks can be greatly reduced or fully eliminated through the use of state-of-the-art motion-platform-based driving simulators that provide a realistic
virtual experience for vehicle prototyping and virtual
vehicle testing.
Stewart platforms are the most commonly used simulators, as they have a high payload and can produce reasonable accelerations. The main shortcomings of Stewart
platforms are their limited translational and rotational
motion range and dexterity. Moreover, they are unable to
convey realistic accelerations and accurately replicate
the driving experience of the real vehicle. Therefore, a
state-of-the-art motion simulator, the Universal Motion
Simulator (UMS), was developed by the Institute for
Intelligent Systems Research and Innovation (IISRI) at
Deakin University in Australia as a viable alternative to
solve the associated drawbacks of the Stewart platform.
The UMS is based on a commercial off-the-shelf robot
manufactured by KUKA.
The UMS is my brainchild, and it represents the next
generation of vehicle simulation, featuring a far greater
range of motion, superior flexibility, and more realism,
which makes it suitable for use as a flight or driving simulator (Figure 1). The state-of-the-art UMS system is based
on a highly customized six-degree-of-freedom serial robot
that includes a large motion envelope, high-resolution kinematic control, two-axes of continuous rotation, and realistic acceleration. This allows for maneuvers that cannot be
replicated by Stewart platforms and enables the simulation
of even the most unusual vehicle motion, including
responses to varying terrain and weather conditions, large
tilt angles, sudden acceleration or deceleration, large vertical displacements, slipping, and rollover.
Ju ly 2016
IEEE SyStEmS, man, & CybErnEtICS magazInE
7
Table of Contents for the Digital Edition of Systems, Man & Cybernetics - July 2016
Systems, Man & Cybernetics - July 2016 - Cover1
Systems, Man & Cybernetics - July 2016 - Cover2
Systems, Man & Cybernetics - July 2016 - 1
Systems, Man & Cybernetics - July 2016 - 2
Systems, Man & Cybernetics - July 2016 - 3
Systems, Man & Cybernetics - July 2016 - 4
Systems, Man & Cybernetics - July 2016 - 5
Systems, Man & Cybernetics - July 2016 - 6
Systems, Man & Cybernetics - July 2016 - 7
Systems, Man & Cybernetics - July 2016 - 8
Systems, Man & Cybernetics - July 2016 - 9
Systems, Man & Cybernetics - July 2016 - 10
Systems, Man & Cybernetics - July 2016 - 11
Systems, Man & Cybernetics - July 2016 - 12
Systems, Man & Cybernetics - July 2016 - 13
Systems, Man & Cybernetics - July 2016 - 14
Systems, Man & Cybernetics - July 2016 - 15
Systems, Man & Cybernetics - July 2016 - 16
Systems, Man & Cybernetics - July 2016 - 17
Systems, Man & Cybernetics - July 2016 - 18
Systems, Man & Cybernetics - July 2016 - 19
Systems, Man & Cybernetics - July 2016 - 20
Systems, Man & Cybernetics - July 2016 - 21
Systems, Man & Cybernetics - July 2016 - 22
Systems, Man & Cybernetics - July 2016 - 23
Systems, Man & Cybernetics - July 2016 - 24
Systems, Man & Cybernetics - July 2016 - Cover3
Systems, Man & Cybernetics - July 2016 - Cover4
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