Chuck, this is a good way for the vehicle manufacturers to proceed. Of course, this is just the old aircraft simulator adapted to motor vehicle use. Actually, in the UK at Beaulieu there is such a simulator. I worked at Link for a few years and the six degree of freedom motion platform is well established. By using motion and visual cues the simulator can create most sensations we might feel in a moving vehicle. It is truly amazing.
What the motor sports teams seem to have done is to put together a math model, or a way to develop a math model, for "testing" their designs. This is a great application of the technology. I assume that a convergence of the cost of the cars with the increasing ease of developing the models has made this possible at this time.
Nice story, Chuck. Nice video as well. It's good to see the Moog logo again. It's been years since I've seen it. I like this simulation. They're clearly trying to get the human feel into their new designs. I wonder, though, how close they come to simulating actual driver experience. I guess only the drivers know.
The one question it doesn't answer is how come drivers are good looking he-men and engineers are nerdy looking?
Thanks charles , however these days companies are using stimulators for testing the cars by driver so that immediate change changes can be made without proceeding forward. It saves time and cost both . However math model of the car is the most recently used which controls the streering ,Braking and the gear movement .
In 2012, 2.2 million people pledged $319 million to kick-start more than 18,000 of its projects on Kickstarter.com. Here's a look at some of the most inspired ideas from the ultimate crowdfunding platform.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.