Vehicle chaos identification and intelligent suppression under combined excitation of speed bump and engine. Issue 16 (14th September 2018)

• Record Type: Journal Article
• Authors: Hu, Qi‐guo; Yuan, Shuai‐hui; Han, Ao
• Is Part Of: Journal of engineering. Volume 2018:Issue 16(2018)
• Page Start: 1595
• Page End: 1599
• Publication Date: 2018-09-14
• Subjects: suspensions (mechanical components) -- Lyapunov methods -- chaos -- feedback -- particle swarm optimisation -- bifurcation -- vibrations -- vehicle dynamics -- road vehicles; combined excitation -- bifurcation -- system coupling vibration -- Lyapunov index -- vehicle chaos -- speed bump -- global optimal feedback gain -- speed range -- particle swarm optimisation algorithm -- optimal feedback gain coefficient -- feedback control -- five‐degree‐of‐freedom vehicle model -- intelligent suppression; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2018.8296
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : 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.