Abstract

Time-delay feedback control can effectively broaden the damping frequency band and improve the damping efficiency. However, the existing time-delay feedback control strategy has no obvious effect on multi-frequency random excitation vibration reduction control. That is, when the frequency of external excitation is more complicated, there is no better way to obtain the best time-delay feedback control parameters. To overcome this issue, this paper is the first work of proposing an optimal calculation method that introduces stochastic excitation into the process of solving the delay feedback control parameters. It is a time-delay control parameter with a better damping effect for random excitation. In this paper, a 2 DOF one-quarter vehicle suspension model with time-delay is studied. First, the stability interval of time-delay feedback control parameters is solved by using the Lyapunov stability theory. Second, the optimal control parameters of the time-delay feedback control under random excitation are solved by particle swarm optimization (PSO). Finally, the simulation models of a one-quarter vehicle suspension simulation model are established. Random excitation and harmonic excitation are used as inputs. The response of the vehicle body under the frequency domain damping control method and the proposed control method is compared and simulated. To make the control precision higher and the solution speed faster, this paper simulates the model by using the precise integration method of transient history. The simulation results show that the acceleration of the vehicle body in the proposed control method is 13.05% less than the passive vibration absorber under random excitation. Compared with the time-delay feedback control optimized by frequency response function, the damping effect is 12.99%. The results show that the vibration displacement, vibration velocity, and vibration acceleration of the vehicle body are better than the frequency domain function optimization method, whether it is harmonic excitation or random excitation. The ride comfort of the vehicle is improved obviously. It provides a valuable tool for time-delay vibration reduction control under random excitation.

Highlights

  • To solve the above problems, this paper proposes a novel time-delay feedback control parameter optimization method, in which a random excitation is introduced into the time-delay feedback control parameter optimization method

  • For the problem studied in this paper, the particle swarm optimization method is improved to solve the time-delay control parameters of the time-domain vibration response of the vehicle body’s under random excitation

  • To improve the control accuracy and the speed of the algorithm, this paper uses the precise integration method of the delay differential equation to solve the numerical solution of the 2 DOF vibration system and determine the dynamic response of the system under the best time-delay control parameters

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Summary

Introduction

For the research of time-delay feedback damping control under random excitation, the existing methods mainly use the frequency response function of the system as the optimization objective function to optimize the calculation. The numerical results show that the time-delay feedback parameters obtained by the modified method have no obvious effect on the vibration reduction of random excitation. This is mainly because the external excitation is not considered in the process of parameter optimization when the delay feedback control parameters are optimized. For the problem studied in this paper, the particle swarm optimization method is improved to solve the time-delay control parameters of the time-domain vibration response of the vehicle body’s under random excitation.

A12 A12 À A11
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Objective function
Method The method
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