| 气动人工肌肉主动悬架系统的可变自整定离散PID控制 |
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| 引用本文： | 沈伟,施光林. 气动人工肌肉主动悬架系统的可变自整定离散PID控制[J]. 系统仿真学报, 2005, 17(9): 2226-2230 |
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| 作者姓名： | 沈伟 施光林 |
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| 作者单位： | 上海交通大学机械与动力工程学院,上海,200030 |
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| 摘 要： | 构建以气动人工肌肉为新型执行器的车用主动悬架系统实验平台，为简化的基于1／4悬架模型的主动悬架系统设计了基于DRNN神经网络的可变自整定离散PID控制算法，分析了可变自整定离散PID算法的控制性能，为提高气动人工肌肉主动悬架系统的减震性能提供理论依据。
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| 关 键 词： | 主动悬架 气动人工肌肉 PID 可变自整定算法 DRNN神经网络 |
| 文章编号： | 1004-731X（2005）09-2226-05 |
| 收稿时间： | 2004-09-30 |
| 修稿时间： | 2005-03-17 |
DRNN Shifting Self-Adjusting Discrete PID Algorithmfor Pneumatic Artificial Muscle Active Suspension System |
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| SHEN Wei,SHI Guang-lin. DRNN Shifting Self-Adjusting Discrete PID Algorithmfor Pneumatic Artificial Muscle Active Suspension System[J]. Journal of System Simulation, 2005, 17(9): 2226-2230 |
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| Authors: | SHEN Wei SHI Guang-lin |
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| Affiliation: | School of Mechanical and Power Energy Engineering, SJTU, Shanghai 200030, China |
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| Abstract: | An active suspension experiment utility with pneumatic artificial muscle as the brand new actuator was presented,and a shifting self-adjusting discrete PID control algorithm was designed based on the Diagonal Recurrent Neural Network(DRNN) with the simplified 1/4 suspension model.The result reveals the control performance of the DRNN shifting self-adjusting discrete PID algorithm,and offers theoretical support to promote the performance of the pneumatic artificial muscle active suspension system. |
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| Keywords: | active suspension pneumatic artificial muscle PID shifting self-adjusting algorithm Diagonal Recurrent Neural Network(DRNN) |
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