Theory of control: conclusion

My first conclusion is a generality: a control situation is limited in time and space. If you are in a situation of control you must accept to gradually lose your advantage and it should motivate you to try to increase your edge, not just to manage it. Furthermore there is no unique definition of control, it can be exercised in different ways, depending on the freedom left to the pilot under control.

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Theory of generalized control

The two previous examples enabled us to realize that the concept of control of A over B depends on the speed that A will adopt and the probability for B to find a thermal along the way.

We assumed that our pilots adopt a rational behavior. However, rationality is often a personal matter, especially as we practice a sport showing little rationality in absolute uncertainty environment. We will generalize the construction of loose control giving freedom to each pilot to adopt the speed he wants.

To point the finger to no particular person, let’s take a couple of top pilots to embody the A and B players: Hameau tries to fly away low while the Pinard monitors him from high behind. Hameau and Pinard do not care about theories on optimal speed. They find them interesting for free flight but without much interest in the context of competition. So they fly full bar and weld the pulleys in transitions. Or not. It is their analysis that guides their individual flight plan.

We keep the assumption that next thermal has the good taste to climb at the expected McCready Vz.

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Theory of loose control

In the case presented today, pilot B adopts an optimal transition speed. This speed, as has retained the assiduous and attentive reader, varies with altitude between best glide speed and a bit faster than McCready speed, which in turn is determined by the expected climb rate climb in the next thermal. But as the pilot B has not read the good book and I need to simplify my equations, we will assume that he flies at a constant speed, that is the McCready speed.

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Theory of control: introduction

During a meeting with French paragliding coaches last year, Julien described the concept of control he develops with the pilots he manages at Pôle Espoir (a college facility mixing studies and sports practice). He introduced an equation supposed to define control. This formula teased me and seemed not to be reflecting all possible situations. On the other hand, the effort to present a mathematical solution to this problem revealed a strong and positive process that deserved being thoroughly studied.

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