Piezoelectric actuator hysteresis neural network compensation method for helicopter body vibration active control
A piezoelectric actuator and neural network technology, which is applied in general control systems, motor vehicles, adaptive control, etc., can solve the problems of less research on hysteresis nonlinear characteristics and compensation of piezoelectric actuators, and achieve compensation for fitting. Poor accuracy, the effect of improving the control effect
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[0034] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0035] This embodiment describes a piezoelectric actuator hysteresis neural network compensation method for active control of helicopter body vibration, including the following steps:
[0036] S1. According to the characteristics of the helicopter rotor, extract the excitation frequency of the rotor; the vibration of the helicopter is mainly the multi-harmonic vibration of the rotor passing frequency, and the previous harmonics are the main components. Extract the first two harmonic frequencies ω that need to be controlled 1 =N b Ω, ω 2 =2N b Ω, where N b Represents the number of rotor blades,...
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