| 基于FNN的恒压力调节泵专家智能协调控制 |
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| 引用本文： | 李笑,周士昌. 基于FNN的恒压力调节泵专家智能协调控制[J]. 机床与液压, 2001, 118(5): 31-33 |
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| 作者姓名： | 李笑 周士昌 |
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| 作者单位： | 1. 广东工业大学,广州市,510090
2. 东北大学,沈阳市,110006 |
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| 基金项目： | 机械工业部科技基金资助项目 ( 95 2 5 0 311) |
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| 摘 要： | 提出了一种基于模糊神经网络（FNN）的恒压力调节泵专家智能协调控制方法，将其应用于电液比例恒压力调节抽柱塞泵，明显改善了该泵的压力轨迹跟随控制特性。实验结果表明：该方法与传统方法比，不仅能够缩短系统输入阶跃的响应时间，而且对系统未知的外加干扰、系统参数时变特性和非线性有较强的自适应能力。
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| 关 键 词： | 模糊神经网络 液压泵 恒压调节 专家智能协调控制 |
| 文章编号： | 1001-3881(2001)5-031-3 |
| 修稿时间： | 2001-05-21 |
Expert intelligent synchronous control based on FNN for constant pressure regulating pump |
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| Li Xiao et al. Expert intelligent synchronous control based on FNN for constant pressure regulating pump[J]. Machine Tool & Hydraulics, 2001, 118(5): 31-33 |
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| Authors: | Li Xiao et al |
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| Affiliation: | Li Xiao et al |
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| Abstract: | The method of expert intelligent synchronous control for constant pressure regulating pump based on fuzzy neural network (FNN) is proposed. It is applied in the tracking control of the electrohydraulic proportional constant pressure regulating axial piston pump and obviously improves the follow-up property of the regulating system of the pump. A series of experimental results shows that the proposed method can not only shorten the step input response time, but also have stronger adaptive capability to the unknown extenal disturbance, parameter time variable character and nonlinear of the system. |
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| Keywords: | Fuzzy nerual network Pressure Pump Control |
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