A Piezoelectric Actuator Hysteresis Neural Network Compensation Method for Active Control of Helicopter Body Vibration
A piezoelectric actuator and neural network technology, applied in general control systems, motor vehicles, adaptive control, etc., can solve problems such as hysteresis nonlinear characteristics and compensation of piezoelectric actuators, and achieve compensation and fitting The effect of poor precision and improved control effect
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[0034] In order to make the objectives, technical solutions and advantages of the present invention, the present invention will be described in further detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely intended to illustrate the invention and are not intended to limit the invention.
[0035] This example describes a piezoelectric actuator hysteresis neural network compensation for helicopter body vibration active control, including the following steps:
[0036] S1, according to the helicopter rotor feature, extract the rotor excitation frequency; the helicopter vibration is mainly the multi-harmonic vibration of the rotor through the frequency, and the previous harmonic is the main component. Extract the first two-order harmonic frequency Ω for control 1 = N b Ω, Ω 2 = 2N b Ω, where N b Represents the number of rotor blades, ω represents the rotor speed.
[0037] S2, determine th...
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