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Derivative Control
Derivative control quantifies this “need to apply more” correction
by linking the amount of accelerator pedal to the “rate of change” of
speed. In other words the faster the speed is dropping the more
acceleration we apply. A sudden drop in speed requires a large and equally
quick depression of the accelerator pedal. Do not confuse this with the amount of speed drop.
It is quite independent. It is also important to realize that on its own
derivative control is not sufficient to restore the speed to 30mph.
Consider if the change in speed is very slow. For example the speed may be
dropping at a rate of 1mph per minute. This would produce an insignificant
amount of accelerator pedal depression and even if (after 25 minutes) the
speed dropped to 5mph the amount of pedal depression would still be
insignificant. We conclude that we need proportions of both elements to
properly control the speed; derivative control to cope with sudden
fluctuations and proportional to bring it back from large errors. |
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We have a very reasonable control system now which can maintain the target
speed 30mph within certain limits regardless of flat or hilly roads. What
we now need to examine is how close to the target are we capable of
controlling the speed. Using the car example in this case is probably a
little unfair in that the accuracy of the speedometer and a requirement to
travel at an almost exact speed of 30mph are just not sensible. However,
lets assume that is exactly what we are trying to achieve. So, what is
wrong with our current accuracy? If I were to estimate what were possible
within the current control system I would say that we could hold the speed
within the limits of 28 – 32 mph. So how can we improve that.. Before I
answer that lets examine the nature of the speed error.
If we have a large difference in target and actual speed our
proportional control applies a correction. If we have a sudden change in
speed the derivative control helps out. However, if we only have a small
fixed error the proportional element is so small that it is ineffective
and because there is no change in speed the derivative contribution is
zero. So the small error persists indefinitely. What we need here is
something that increases in its contribution the longer the error ,
however small, exists. This is called “Integral Control”.
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Next: Integral
Control |
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A Range of Affordable
USB Boards to make PC Control Easy for the Hobbyist |
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©
Copyright pc-control.co.uk 2008 |
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