Method for establishing electric steering engine nonlinear model based on particle swarm optimization algorithm

Abstract

The invention relates to a method for establishing an electric steering engine nonlinear model based on a particle swarm optimization algorithm, and belongs to the technical field of motor control. The method comprises the following steps: S1, constructing a simulation model of the electric steering engine, wherein the simulation model comprises a friction characteristic in a motor of the electric steering engine, a gap hysteresis nonlinear characteristic between transmission mechanisms and a variable transmission ratio link; s2, optimizing joint parameters of the simulation model based on a particle swarm optimization algorithm to obtain an optimal solution of the joint parameters, wherein the joint parameters comprise coulomb friction force Fc of friction characteristics, static friction force Fs, a viscous friction force factor B, a lubrication parameter omega s and an interval size b of gap hysteresis nonlinear characteristics; and S3, substituting the obtained joint parameter optimal solution into the simulation model to establish an electric steering engine nonlinear model. According to the invention, the problem that the model cannot truly reflect the characteristics of a modeling object due to poor accuracy of a simulation model in traditional electric steering engine modeling is solved.

Description

technical field [0001] The invention relates to the technical field of motor control, in particular to a method for establishing a nonlinear model of an electric steering gear using a particle swarm optimization algorithm. Background technique [0002] The servo control system of the steering gear is an important part of the missile guidance and control system. The missiles flying in the air according to a certain trajectory are driven by the steering gear to drive the rudder surface to realize real-time deflection, thereby controlling its course. The performance of the actuator directly affects the overall performance and guidance accuracy of the missile, and directly determines the performance of the guidance and control system. According to the different energy sources used, missile steering gear can be divided into three types: pneumatic steering gear, hydraulic steering gear and electric steering gear. Among them, electric steering gear is gradually replacing hydraulic...

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Problems solved by technology

[0004] In view of the above analysis, the present invention aims to provide a method for establishing a nonlinear model of an electric steering gear based on a particle swarm optimization algorithm, so as to solve the problem that the accuracy of the simulation model is poor in traditional electric steering gear modeling, resulting in the model not being able to truly reflect the modeling object characteristic problem

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