Phase angle amplitude PID adaptive method based on BP neural network for three-dimensional magnetic property measurement

Abstract

The invention discloses a phase angle amplitude PID adaptive method based on three-dimensional magnetic characteristic measurement of BP neural network. In the process of signal processing, adopting afrequency domain approach, compared with the time domain method, the harmonics are decomposed into frequency domain, the amplitude and phase angles are independently closed-loop controlled, as the amplitude is traversed to minimize the error between the output voltage and the desired voltage, then the phase angle is found to minimize the output error, PID can quickly find the appropriate amplitude and phase angle, so that the output waveform vector in three directions is a standard spherical or ellipsoidal after synthesis, so that the actual waveform can quickly and accurately approximate thedesired waveform. When the excitation frequency and amplitude change, the weights of the hidden layer and the output layer of the neural network change correspondingly, so that the PID parameters canbe adaptively changed with the feedback adjustment process of the waveform, so that the rapidity and accuracy of the magnetic measurement process are greatly improved, and the response time is greatly reduced.

Description

technical field [0001] The invention relates to the fields of artificial neural network and three-dimensional magnetic characteristic measurement, in particular to a phase angle amplitude PID self-adaptive method based on BP neural network three-dimensional magnetic characteristic measurement. Background technique [0002] The three-dimensional magnetic property measurement is to apply a standard three-dimensional magnetic field to the magnetic material through the three-dimensional magnetic property measurement system to obtain the magnetic properties of different materials, including the dependence of the hysteresis loop, magnetic permeability and loss properties on frequency, temperature and other conditions. The research on the three-dimensional magnetic properties of magnetic materials will help to optimize the structural design of the iron core components of electrical equipment and reduce the core loss of transformers and motors. In the measurement of magnetic charact...

AI Technical Summary

Problems solved by technology

However, in waveform feedback control, as the actual output gradually approaches the desired output, the original PID parameters cannot make the error quickly approach the given error range

Especially when the excitation current increases and the excitation

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