Multi-dimensional random vibration control method
A random vibration, multi-dimensional technology, used in mechanical oscillation control, non-electric variable control, control/regulation systems, etc., can solve problems such as difficulty in meeting real-time requirements and slow processing speed
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Embodiment 1
[0068] Such as figure 1 As shown, the multidimensional random vibration control method of the present invention comprises the following steps:
[0069] Step (1) Set the reference spectral matrix and the number of control spectral lines
[0070] The operator sets the reference spectral matrix R and the number of control spectral lines nSL through the control computer as the host computer, the control computer transmits the reference spectral matrix R to the multi-dimensional random vibration signal processing module, and the control computer transmits the control spectral line number nSL to the random signal source.
[0071] Step (2) Generate a true random drive signal
[0072] Step (2.1) The random signal source sends out a low-level white noise signal, performs D / A conversion and low-pass filtering in sequence, and amplifies the power of the low-pass filtered signal. In this embodiment, the D / A conversion, low-pass filtering and power amplification are completed sequential...
Embodiment 2
[0112] The difference between this embodiment and embodiment 1 is:
[0113] In step (2.5.1), randomly generate a set of position random numbers and a set of reverse random numbers. In step (2.5.2), the value of the corresponding position of the pseudo-random sequence and the value after this position are obtained through the random number of the position. A set of sequences is formed by the numerical values of positions; the reverse random number is multiplied by a set of sequences of random numbers corresponding to the positions to obtain a new set of sequences. In step (2.5.3), windowing is performed on a new set of random numbers corresponding to the same position, and the windowing type is optional, such as half-sine window, Hamming window, Haining window, etc. In step (2.5.4), different groups of new sequences corresponding to random numbers at different positions are overlapped at a ratio of 50% to obtain a true random driving signal.
[0114] In step (3.5.1), random...
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