Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2017, Article ID 6593436, 12 pages
https://doi.org/10.1155/2017/6593436
Research Article

Research on Suspension with Novel Dampers Based on Developed FOA-LQG Control Algorithm

1School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Wuhu, China
2School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China
3Center for Post-Doctoral Studies, Wuhu Hefeng Clutch Co., Ltd., Wuhu, China
4School of Mechanical Engineering, Anhui University of Technology, Maanshan, China

Correspondence should be addressed to Xiao Ping; nc.ude.tufh.liam@5991px

Received 2 June 2016; Accepted 27 December 2016; Published 14 February 2017

Academic Editor: Dane Quinn

Copyright © 2017 Xiao Ping et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

To enhance working-performance robustness of suspension, a vehicle suspension with permanent-magnet magnetic-valve magnetorheological damper (PMMVMD) was studied. Firstly, mechanical structure of traditional magnetorheological damper (MD) used in vehicle suspensions was redesigned through introducing a permanent magnet and a magnetic valve. Based on theories of electromagnetics and Bingham model, prediction model of damping force was built. On this basis, two-degree-of-freedom vehicle suspension model was established. In addition, fruit fly optimization algorithm- (FOA-) line quadratic Gaussian (LQG) control algorithm suitable for PMMVMD suspensions was designed on the basis of developing normal FOA. Finally, comparison simulation experiments and bench tests were conducted by taking white noise and a sine wave as the road surface input and the results indicated that working performance of PMMVMD suspension based on FOA-LQG control algorithm was good.