| 智能控制气动人工肌肉座椅减振特性研究 |
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| 引用本文： | 冯辰生,孙大刚,卢南炎,徐铮.智能控制气动人工肌肉座椅减振特性研究[J].太原重型机械学院学报,2011(3):207-211. |
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| 作者姓名： | 冯辰生 孙大刚 卢南炎 徐铮 |
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| 作者单位： | 太原科技大学机械电子工程学院,太原030024 |
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| 基金项目： | 教育部高等学校博士点基金项目（200801090001） |
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| 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。
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| 关 键 词： | 座椅 气动人工肌肉 智能控制 BP神经网络 减振 |
Research on the Damping Characteristics of Seat Mounted with Pneumatic Artificial Muscle Buffer Based on BP Neural Network PID Control |
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| FENG Chen-sheng,SUN Da-gang,LU Nan-yan,XU Zheng.Research on the Damping Characteristics of Seat Mounted with Pneumatic Artificial Muscle Buffer Based on BP Neural Network PID Control[J].Journal of Taiyuan Heavy Machinery Institute,2011(3):207-211. |
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| Authors: | FENG Chen-sheng SUN Da-gang LU Nan-yan XU Zheng |
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| Affiliation: | (Mechanical and Electronic Engineering College,Taiyuan University ofScience and Technology,Taiyuan 030024,China) |
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| Abstract: | 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. |
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| Keywords: | seat pneumatic artificial muscle intelligent control BP neural network vibration damping |
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