In this paper, the control of chaotic vibrations in vehicle suspension system is studied via a fuzzy fast terminal sliding mode method. Therefore, the nonlinear equations of motion in the vehicle half model are derived initially through the Newton-Euler laws and then these equations are solved by the fourth-order Runge-Kutta method. For analysis of chaos, some techniques including bifurcation diagrams, frequency response, power spectrum, phase plane trajectories, and Poincaré section are used to identify the chaotic behaviors. The chaotic zones are depicted with critical values on the uncontrolled model under the road surface force. In order to eliminate chaotic behavior, the control signals in the active suspension system are generated using the novel fuzzy fast terminal sliding mode control algorithm. The simulation results of the feedback system show that the suspension system can be stabilized the vibrations by efficient fuzzy fast terminal SMC while eliminating irregular chaotic behaviors.

本文通过模糊快速终端滑模方法研究了车辆悬架系统混沌振动的控制方法。因此，首先通过牛顿-欧拉定律推导出半车辆模型中的非线性运动方程，然后通过四阶Runge-Kutta方法求解这些方程。为了分析混沌，使用了一些技术（包括分叉图，频率响应，功率谱，相平面轨迹和庞加莱截面）来识别混沌行为。在路面力的作用下，在不受控制的模型上用临界值描绘了混沌区域。为了消除混沌行为，主动悬架系统中的控制信号是使用新颖的模糊快速终端滑模控制算法生成的。