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Shock and Vibration
Volume 2015, Article ID 636739, 13 pages
Research Article

Adaptive Hybrid Control of Vehicle Semiactive Suspension Based on Road Profile Estimation

1School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
2Department of Mechanical Engineering, Texas A&M University, College Station, TX 77840, USA

Received 24 January 2015; Accepted 30 April 2015

Academic Editor: Mickaël Lallart

Copyright © 2015 Yechen Qin 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.


A new road estimation based suspension hybrid control strategy is proposed. Its aim is to adaptively change control gains to improve both ride comfort and road handling with the constraint of rattle space. To achieve this, analytical expressions for ride comfort, road handling, and rattle space with respect to road input are derived based on the hybrid control, and the problem is transformed into a MOOP (Multiobjective Optimization Problem) and has been solved by NSGA-II (Nondominated Sorting Genetic Algorithm-II). A new road estimation and classification method, which is based on ANFIS (Adaptive Neurofuzzy Inference System) and wavelet transforms, is then presented as a means of detecting the road profile level, and a Kalman filter is designed for observing unknown states. The results of simulations conducted with random road excitation show that the efficiency of the proposed control strategy compares favourably to that of a passive system.