Mechanical resonance online inhibition system based on self-adaptive notch

Abstract

The invention discloses a mechanical resonance online inhibition system based on self-adaptive notch. The system employs an FPGA to achieve the fast Fourier transform, reduces the calculation time through the high-speed operation capability, meets the real-time requirements, and achieves the online recognition of mechanical resonance features. A specific scheme of mechanical resonance characteristic identification based on the FPGA is designed, and implementation of fast Fourier transform in the FPGA is studied. Finally, the accuracy and real-time performance of realizing fast Fourier transform in the FPGA are verified through online debugging, a model is built in Simulink, the feasibility of a resonance characteristic online identification scheme is verified, and the system has popularization and application values.

Description

technical field [0001] The invention relates to the field of mechanical technology, in particular to an adaptive notch-based online suppression system for mechanical resonance. Background technique [0002] The passive mode of mechanical resonance suppression in the servo system mainly refers to not changing the mechanism or parameters of the control system, adding a filter link to the system to suppress the resonance, performing filter processing on the command, and then suppressing the resonance. The main methods are low-pass filter, notch filter and so on. [0003] The acquisition methods of servo system frequency characteristics are divided into direct measurement method, offline identification and online identification. The direct measurement method is to directly obtain the vibration data of the transmission shaft by installing corresponding sensors, such as measuring instruments using the laser Doppler effect. This method can directly obtain the characteristics of r...

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Problems solved by technology

This method can directly obtain the characteristics of resonance, but the cost is high, and the implementation is relatively complicated, so it is not suitable for use in industrial sites

[0004] The main method of off-line identification is the frequency sweep method. The sinusoidal frequency sweeping method is commonly used. Sinusoidal excitation signals of different frequencies are applied to the servo system to obtain different responses, so as to identify the frequency characteristics. The frequency sweeping method is stable and reliable, and the method is simple and easy to understand. There is a long test time and the problem of low frequency drift

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