| 引用本文: | 金尚泰,侯忠生.一类非线性大滞后系统的改进无模型自适应控制[J].控制理论与应用,2008,25(4):623~626.[点击复制] |
| JIN Shang-tai,HOU Zhong-sheng.An improved model-free adaptive control for a class of nonlinear large-lag systems[J].Control Theory and Technology,2008,25(4):623~626.[点击复制] |
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| 一类非线性大滞后系统的改进无模型自适应控制 |
| An improved model-free adaptive control for a class of nonlinear large-lag systems |
| 摘要点击 1964 全文点击 1593 投稿时间：2007-01-09 修订日期：2007-10-16 |
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| DOI编号 10.7641/j.issn.1000-8152.2008.4.006 |
| 2008,25(4):623-626 |
| 中文关键词 伪偏导数 大滞后 跟踪–微分器 无模型自适应控制 |
| 英文关键词 pseudo-partial-derivative large-lag tracking-differentiator model free adaptive control |
| 基金项目 国家自然科学基金资助项目(60474038,60774022). |
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| 中文摘要 |
| 针对工业过程中一类常见的非线性大滞后对象, 基于伪偏导数(pseudo-partial-derivative, PPD)的概念动态线性化非线性系统, 并利用跟踪-微分器预测系统未来时刻的输出, 提出了一种改进的无模型自适应控制(improved model-free adaptive control, IMFAC)算法. 通过严格的理论推导, 证明了新算法的BIBO稳定性和收敛性. 仿真结果验证了该算法的有效性. |
| 英文摘要 |
| For a class of nonlinear large-lag plants in industry, the pseudo-partial-derivative(PPD) is used to dynamically linearize the nonlinear system, and the tracking-differentiator(T-D) is applied to predict the plant future output. Then, an improved model-free adaptive control(IMFAC) algorithm is presented. Through rigorous analysis, the BIBO stability and convergence of the proposed algorithm are also proved. The simulation results show the effectiveness of the algorithm. |