智能控制气动人工肌肉座椅减振特性研究  

Research on the Damping Characteristics of Seat Mounted with Pneumatic Artificial Muscle Buffer Based on BP Neural Network PID Control

作　　者：冯辰生[1] 孙大刚[1] 卢南炎[1] 徐铮[1] 

机构地区：[1]太原科技大学机械电子工程学院,太原030024

出　　处：《太原科技大学学报》2011年第3期207-211,共5页Journal of Taiyuan University of Science and Technology

基　　金：教育部高等学校博士点基金项目(200801090001)

摘　　要：以Mckibben型气动人工肌肉为履带式工程车辆座椅的缓冲执行器,建立了三自由度座椅主动缓冲减振模型;以白噪声模拟路面输入,采用智能BP神经网络PID控制对座椅的减振特性进行研究。并以座椅加速度和位移的最大值、最小值、标准差三项指标进行对比分析。仿真结果表明,在选定的3种工况下,Mckibben型气动人工肌肉缓冲座椅较传统座椅可显著减小路面激励对驾驶员的振动冲击,提高了驾驶员操作舒适性。Three-DOF active seat cushion damping model was built up by taking Mckibben-type PAM as the buffer actuator for crawler construction vehicles.The simulation of the seat for damping characteristics is conducted with BP neural network PID control by taking white noise as the road excitation input,and the seat acceleration and displacement of the maximum,minimum and standard deviation of three indicators were analyzed.The results show that vibration-impact was significantly reduced when comparing the mounted Mckibben-type PAM seat with the traditional seat under the selected three kinds of working conditions,and the operating comfort was improved.

关 键 词：座椅 气动人工肌肉 智能控制 BP神经网络 减振 

分 类 号：TB535[理学—物理]