Open AccessVehicle chaos identification and intelligent suppression under combined excitation of speed bump and engine
Author(s) -
Hu Qiguo,
Yuan Shuaihui,
Han Ao
Publication year - 2018
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8296
Subject(s) - control theory (sociology) , chaotic , chaos (operating system) , poincaré map , computer science , excitation , vibration , particle swarm optimization , bifurcation , nonlinear system , physics , control (management) , artificial intelligence , algorithm , acoustics , computer security , quantum mechanics
For non‐linear suspension, vehicle passes through a continuous speed bump, the chaos that may occur under the combined excitation of the speed bump and the engine. This study takes the five‐degree‐of‐freedom vehicle model as the object of research, through the vehicle body poincaré section and the maximum Lyapunov index to identify the chaos produced by the vehicle under joint excitation, and utilises the feedback control of the optimal feedback gain coefficient based on the particle swarm optimisation (PSO) algorithm to suppress vehicle chaos. The results indicate that the vehicle is in a chaotic state in all speed range. Under low and medium speeds, the route to the chaos of the vehicle is the system coupling vibration under multi‐frequency excitation, whereas in the high‐speed condition, the vehicle approaches the chaos through the bifurcation. The chaos of the vehicle can be effectively suppressed by feedback control with the global optimal feedback gain searched by PSO. This study reveals the chaotic characteristics of non‐linear suspension vehicles under combined excitation, which provides a new method for intelligent suppression of chaos.