A Precise Control Method of Electric Actuator Based on Nonlinear Modeling

Abstract

The invention discloses a precise control method of an electric control actuator based on nonlinear modeling, comprising: 1 establishing a nonlinear hysteresis operator model, introducing a neural network topology structure, and using hysteresis output and control signals as inputs; 2 establishing The nonlinear model of electronically controlled actuator based on hysteresis operator model and neural network model; 3 Introduce the neural network inverse model to establish the inverse model of electronically controlled actuator, and based on the inverse model, the hysteresis output and the expectation of the upper controller output The force is used as the input of the neural network to obtain the expected driving power; 4 the expected driving power is used as the input of the electronically controlled actuator, and finally the precise control output is obtained. The invention can accurately simulate and predict the nonlinear characteristics of any electric control actuator, so as to accurately output the expected force of the upper controller.

Description

technical field [0001] The invention relates to the field of nonlinear control, in particular to an accurate control method of an electric control actuator based on nonlinear modeling. Background technique [0002] Hysteresis nonlinearity widely exists in electronically controlled actuators, such as magnetorheological actuators, adjustable damping actuators, shape memory alloys, piezoelectric actuators, and magnetostrictive actuators. The strong nonlinearity and memory characteristics of hysteresis characteristics greatly affect the measurement accuracy and control accuracy of electronically controlled actuators, and also hinder the wide application of electronically controlled actuators. Therefore, establishing an accurate hysteresis nonlinear model is a prerequisite for efficient vibration and shock control. [0003] The evaluation of the performance of the hysteresis nonlinear model mainly considers the accuracy of the model, calculation efficiency and practical applicat...

AI Technical Summary

Problems solved by technology

Existing hysteresis nonlinear models, such as Prandtl-Ishlinskii model, Preisach model, Duhem model, Bingham model, Bouc-Wen model and RC operator model, etc. low, can not accurately describe and predict the nonlinear force; although the Bouc-Wen model has good memory characteristics, but the Bouc-Wen model requires more parameters, the calculation is complicated, and the calculation performance is high. It is not very convenient in application; although the RC operator model can better describe the force characteristics of nonlinear electronically controlled actuators and has higher fitting accuracy, when the actuator speed is small, the fitting deviation of the model is large

Due to the above problems in practical applications, it cannot be well applied in fast control systems such as vibration and shock systems and precision control systems.

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