Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T-S Fuzzy Approach
Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T-S Fuzzy Approach
复制标题
使用 T-S 模糊方法的非线性主动悬架车辆系统的自适应滑模控制
DOI：
10.1109/tie.2012.2202354
复制
发表时间：
2013-08-01
影响因子：
7.7
通讯作者：
Liu, Honghai
中科院分区：
文献类型：
--
作者：
Li, Hongyi;Yu, Jinyong;Liu, Honghai
研究了基于T-S模糊控制的非线性主动悬架系统的自适应滑模控制问题。同时考虑了车辆簧上、簧下质量的变化、执行器的非线性以及悬架的性能，建立了相应的数学模型。通过扇区非线性逼近，用T-S模糊系统描述原非线性系统，达到控制设计的目的。给出了设计滑动运动渐近稳定的充分条件。一个自适应滑模控制器的设计，以保证指定的切换面的可达性。该条件可以转化为凸优化问题。半车辆主动悬架模型的仿真结果证明了所提出的控制方案的有效性。
This paper deals with the adaptive sliding-mode control problem for nonlinear active suspension systems via the Takagi-Sugeno (T-S) fuzzy approach. The varying sprung and unsprung masses, the unknown actuator nonlinearity, and the suspension performances are taken into account simultaneously, and the corresponding mathematical model is established. The T-S fuzzy system is used to describe the original nonlinear system for the control-design aim via the sector nonlinearity approach. A sufficient condition is proposed for the asymptotical stability of the designing sliding motion. An adaptive sliding-mode controller is designed to guarantee the reachability of the specified switching surface. The condition can be converted to the convex optimization problems. Simulation results for a half-vehicle active suspension model are provided to demonstrate the effectiveness of the proposed control schemes.