Modeling and parameter identification of a steering gear tilting vector power system based on IESPSO
To solve the problem of low accuracy and difficulty in estimating the actual response of the servo system model in the tilt vector dynamic system under the influence of the external torque generated during rotor dynamics,this article incorporates the external moment of the servo as the disturbance noise into the identification link,constructs the system model,and proposes a parameter identification method for the tiltrotor servo system based on improving ecosystem particle swarm optimization(IESPSO).To ensure the stability and safety of the test,a tilt vector dynamical system identification platform was designed to carry out the parameter identification test.The experimental results show that the IESPSO method has obvious advantages of convergence speed and estimation accuracy compared with the PSO algorithm,the ESPSO algorithm,and the recursive least squares method under the influence of the external moment noise generated during rotor dynamics.
system identificationecosystem particle swarmsteering gear modeltilting vector power system
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