Adaptive neural-fuzzy sliding mode control for semi-active seat suspensions
A sliding mode controller(ANFIS-SMC)based on Adaptive Neuro-Fuzzy Inference System(ANFIS)was de-signed for a 5-DOF seat suspension system with a human body model.Firstly,a time-varying sliding mode surface is designed.By adjusting its slope,the system state points can reach the sliding mode surface quickly to improve the system's control speed;Secondly,ANFIS is used to adjust the switching gain online,and the switching item is used to eliminate the interference to realize the precise control of the controller under the complex multi-source interference;Using the hyperbolic tangent function replace the sign function in the switching term,making the output more continuous and effectively reducing chattering.The simulation results show that the controller can effectively improve the system's tracking performance and response speed and is robust to uncertain interference.The seat suspension ride comfort with the controller is improved.
万方数据
维普
