| 引用本文: | 刘 涵,刘 丁.基于支持向量机的参数自整定PID非线性系统控制[J].控制理论与应用,2008,25(3):468~474.[点击复制] |
| LIU Han,LIU Ding.Self-tuning PID controller for a nonlinear system based on support vector machines[J].Control Theory and Technology,2008,25(3):468~474.[点击复制] |
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| 基于支持向量机的参数自整定PID非线性系统控制 |
| Self-tuning PID controller for a nonlinear system based on support vector machines |
| 摘要点击 1645 全文点击 2075 投稿时间：2006-08-20 修订日期：2007-06-12 |
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| DOI编号 10.7641/j.issn.1000-8152.2008.3.014 |
| 2008,25(3):468-474 |
| 中文关键词 支持向量机 非线性控制 PID控制器 线性化 自整定 |
| 英文关键词 support vector machines nonlinear control PID controller linearization self-tuning |
| 基金项目 陕西省自然科学基金资助项目(2007F30); 陕西省教育厅专项科研计划资助项目(05JK267). |
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| 中文摘要 |
| 对非线性系统提出了一种基于支持向量机的自整定PID控制新方法. 用支持向量机辨识系统的非线性关系, 并对之进行线性化, 提取出瞬时线性模型, 采用最小方差的准则获取PID控制器的最优参数. 为改善控制器的性能, 提出了一些改进措施, 包括使用一阶滤波器、控制器参数更新标准及惩罚系数的调整等. 通过对典型非线性系统的仿真, 验证了该方法的有效性和可行性. |
| 英文摘要 |
| For a nonlinear system, we propose a new self-tuning PID controller based on support vector machines(SVM). The SVM is applied to identify the non-linear system, which is then linearized to extract the instantaneous linearmodel. The criterion of minimum variance is used to obtain the optimal tuning PID controller. Some additional measures,including the adoption of first order filter, parameter updating criterion and the adjustment of penalty factor, are taken to improve the performance of PID controller. Simulation results of typical non-linear systems show the effectiveness and feasibility of the self-tuning PID controller based on SVM. |