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The Art of the Helicopter John Watkinson - Karatunov.net

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48 <strong>The</strong> <strong>Art</strong> <strong>of</strong> <strong>the</strong> <strong>Helicopter</strong><br />

Fig. 2.29 Fourier analysis <strong>of</strong> a square wave into fundamental and harmonics. A, amplitude; δ, phase <strong>of</strong><br />

fundamental wave in degrees; 1, first harmonic (fundamental); 2 odd harmonics 3–15; 3, sum <strong>of</strong> harmonics 1–15;<br />

4, ideal square wave.<br />

To overcome this problem <strong>the</strong> Fourier analysis searches for each frequency using both<br />

a sine wave and a cosine wave basis function. Thus at each frequency two coefficients<br />

will be obtained. <strong>The</strong> ratio <strong>of</strong> <strong>the</strong> two coefficients can be used to determine <strong>the</strong> phase<br />

<strong>of</strong> <strong>the</strong> frequency component concerned.<br />

<strong>The</strong> full frequency accuracy <strong>of</strong> <strong>the</strong> Fourier transform is only obtained if <strong>the</strong> averaging<br />

process is performed over a very long, ideally infinite, time. In practice this may cause<br />

difficulties, not least with <strong>the</strong> amount <strong>of</strong> computation required, and <strong>the</strong> averaging<br />

time may need to be reduced. If a short-term average is used, <strong>the</strong> same result will be<br />

obtained whe<strong>the</strong>r <strong>the</strong> frequency is zero or very low, because a low frequency doesn’t<br />

change very much during <strong>the</strong> averaging process. Thus <strong>the</strong> short-term Fourier transform<br />

(STFT) allows quicker analysis at <strong>the</strong> expense <strong>of</strong> frequency accuracy. For best frequency<br />

accuracy, <strong>the</strong> signal has to be analysed for a long time and so <strong>the</strong> exact time at which<br />

a particular event occurs would be lost. On <strong>the</strong> o<strong>the</strong>r hand if <strong>the</strong> time when an event<br />

occurs has to be known, <strong>the</strong> analysis must be over a short time only and so <strong>the</strong> frequency<br />

analysis will be poor. In <strong>the</strong> language <strong>of</strong> transforms, this is known as <strong>the</strong> Heisenberg<br />

inequality. Werner Heisenberg explained <strong>the</strong> wave-particle duality <strong>of</strong> light. When light<br />

is analysed over a short time, its frequency cannot be known, but its location can.<br />

Light can <strong>the</strong>n be regarded as a particle called a photon. When light is analysed over<br />

a long time its frequency can be established but its location is <strong>the</strong>n unknown and so it<br />

is regarded as a wave motion.<br />

In helicopters <strong>the</strong> frequencies <strong>of</strong> interest will generally be known from <strong>the</strong> rotor speed<br />

and usually only <strong>the</strong> first few harmonics contribute to <strong>the</strong> aerodynamic result although<br />

higher harmonics may result in vibration. <strong>The</strong>se harmonics are normally sufficiently<br />

far apart in frequency that <strong>the</strong> time span <strong>of</strong> <strong>the</strong> analysis is not critical.<br />

One peculiarity arises with Fourier analysis <strong>of</strong> helicopter rotors. <strong>The</strong> behaviour<br />

<strong>of</strong> a typical rotor is such that <strong>the</strong> coefficients <strong>of</strong> <strong>the</strong> harmonics are always negative.

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