Optimizing Vibration Attenuation Performance of a Magnetorheological Damper-Based Semi-active Seat Suspension Using Artificial Intelligence

Xinhua Liu,Zhixiong Li,Ningning Wang,Hui Huang,Thompson Sarkodie-Gyan,Weihua Li,Kun Wang

doi:10.3389/fmats.2019.00269

Abstract

This paper aims to improve the control performance for a magnetorheological damper (MRD) based semi-active seat suspension system. The vibration of the suspension is isolated by controlling the stiffness of the MRD using a proportion integration differentiation (PID) controller. A new intelligent method is proposed to optimize the PID parameters in this work. This new method appropriately incorporates the particle swarm optimization (PSO) into the PID-parameter searching processing of an improved fruit fly optimization algorithm (IFOA). Thus the PSO-IFOA method possesses better optimization ability than IFOA and is able to find a globally optimal PID-parameter set. The PID controller optimized by the proposed PSO-IFOA was evaluated for attenuating the vibration of the MRD-suspension using a numerical model and an experimental platform, respectively. Both the simulation and experimental analysis results demonstrate that the proposed PSO-IFOA is able to optimize the PID parameters in controlling the MRD semi-active seat suspension. The control performance of the PSO-IFOA based PID is superior to that of individual PSO, FOA or IFOA based methods.

Highlights

Engineers often work in a high vibration environment, which seriously affects their health (Maikala and Bhambhani, 2013)
This paper develops a new method based on particle swarm optimization and the improved fruit fly optimization algorithm (PSO-IFOA) to optimize the proportion integration differentiation (PID) parameters for the vibration control of semi-active seat suspension and shows that it possesses better dynamic response characteristics and control accuracy compared with FOA, PSO, and IFOA
As can be seen in the figure, compared to the other three controllers, the peak values of human acceleration at the first four waves were smallest with the proposed PSO-IFOA method, the overshoot of the proposed method was, respectively, reduced by 16.29, 6.04, 2.35, and 0.43%, and the stabilizing time was, respectively, decreased by 35.6, 20.6%, 12.99, and 2.5% compared to the other methods

Summary

Introduction

Engineers often work in a high vibration environment, which seriously affects their health (Maikala and Bhambhani, 2013). It is difficult to obtain the proper natural frequency and damping performance in the absence of an Control of MRD Suspension Seat effective control strategy. For this reason, achieving high performance control for semi-active seat suspension systems has become an essential research topic in recent years. Vibration experiments were performed on the semi-active seat suspension with MRD to evaluate the actual control performance of the proposed control method. Step 3: Set the optimization variables and the corresponding value range. These are shown in Equations (17) and (18).

Objectives

Methods

Results

Discussion

Conclusion