Model reference self-adaptive system parameter self-tuning method based on one-dimensional fuzzy control

Abstract

The invention relates to a model reference self-adaptive system parameter self-tuning method based on one-dimensional fuzzy control. The method comprises the following steps that (1) a model reference self-adaptive system based on the one-dimensional fuzzy control is structured according to an actual physical model of a permanent magnet synchronous motor; (2) direct-axis currents and quadrature-axis currents are calculated respectively according to the actual model and a reference model, and a current error variable e(t) of the direct-axis currents and the quadrature-axis currents is obtained according to an error calculation formula; (3) the changing range of e(t) is defined as current error variable pulsation band e(t)band, and the e(t)band is sent into a one-dimensional fuzzy controller after action of the input scale factor Ke of the one-dimensional fuzzy controller; (4) fuzzy controlled quantity output u(t) is obtained according to one-dimensional fuzzy rules; (5) u(t) is acted by the output scale factor Ku of the one-dimensional fuzzy controller and amplified to the actual controlled quantity on PI parameters; (6) u(t) is converted into a precise output value u0(t) and is overlapped on the PI parameters. The model reference self-adaptive system parameter self-tuning method based on the one-dimensional fuzzy control can be widely applied to the field of control over motors without position sensors.

Description

technical field [0001] The invention relates to a motor control method, in particular to a model reference adaptive system parameter self-tuning method based on one-dimensional fuzzy control. Background technique [0002] The model reference adaptive system is widely used in the control of speed sensorless permanent magnet synchronous motors because of its simple structure and easy implementation. At present, in the traditional model reference adaptive system, the PI (proportional-integral) controller can usually get good control performance when applied to the constant load condition, but when applied to the pulsating compressor load condition, the constant A single PI controller cannot meet the requirements of control performance well. The reason is that in the permanent magnet synchronous motor driven compressor system using the model reference adaptive system, the estimated rotor speed fluctuation is largely affected by the PI parameters in the model reference adaptive ...

AI Technical Summary

Problems solved by technology

At present, in the traditional model reference adaptive system, the PI (proportional-integral) controller can usually get good control performance when applied to the constant load condition, but when applied to the pulsating compressor load condition, the constant A single PI controller cannot meet the requirements of control performance well

The reason is that in the permanent magnet synchronous motor driven compressor system using the model reference adaptive system, the estimated rotor speed fluctuation is largely affected by the PI parameters in the model reference adaptive system, which in turn causes the estimated rotor position and There is an error between the actual rotor positions, resulting in the inability to obtain accurate rotor position information during feedforward compensation control, which in turn affects the performance of feedforward compensation control

Therefore, in actual control, when a permanent magnet synchronous motor is used to drive a pulsating load, it is necessary to adjust the PI parameters in the model reference adaptive system according to the actual operating speed and load conditions, which often causes a certain degree of inconvenience

[0003] In the traditional model reference adaptive system, the PI parameter problem of current deviation and parameter sensitivity often affect the performance of the entire control system, and the conventional model reference adaptive system is only suitable for constant load conditions, and the rotor position Angular accuracy needs to be further improved

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