| 引用本文: | 吴敬兵,罗安,彭双剑,于力.一种混合有源电力滤波器的电流控制新方法[J].控制理论与应用,2011,28(8):1151~1158.[点击复制] |
| WU Jing-bing,LUO An,PENG Shuang-jian,YU Li.Novel approach of current control for hybrid active power filter[J].Control Theory and Technology,2011,28(8):1151~1158.[点击复制] |
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| 一种混合有源电力滤波器的电流控制新方法 |
| Novel approach of current control for hybrid active power filter |
| 摘要点击 2332 全文点击 1592 投稿时间：2010-01-31 修订日期：2010-10-02 |
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| DOI编号 10.7641/j.issn.1000-8152.2011.8.CCTA100126 |
| 2011,28(8):1151-1158 |
| 中文关键词 延时 有源电力滤波器 Ziegler-Nichols方法 π补偿预估器 ITAE准则 |
| 英文关键词 time delay active power filter Ziegler-Nichols method ¼-compensation predictor ITAE criterion |
| 基金项目 国家自然科学基金资助项目(60774043); 国家重点基础研究“973”计划资助项目(2009CB219706). |
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| 中文摘要 |
| 针对可控器件的死区和数字化控制器存在的延时对系统整体性能产生消极的影响, 提出一种新的电流跟踪控制策略, 该控制策略以一个基于改进的Ziegler-Nichols方法实现参数优化的PI控制器和π补偿Smith预估器为基础. 其中实现电流跟踪控制的控制器算法是在Ziegler-Nichols方法优化PI控制参数的算法上的修正, 较之传统的方法寻优PI控制器参数有着更好的控制效果; π补偿预估器的引入则可以有效地补偿系统控制中的延时, 提高系统的响应速度和稳定性能, 并提高系统的控制精度; 同时利用时间乘以误差绝对值积分(ITAE)准则给出π补偿预估器参数与PI控制器参数间的数学关系式, 实现了预估器参数的辨识. 仿真和实验验证了所提控制策略的有效性, 与模糊PI控制效果进行比较, 具有更好的滤波效果. |
| 英文摘要 |
| The dead-zone of controlled devices and time-delay in digital controllers are disadvantageous to the overall performance of the system; to tackle these disadvantageous effects we propose a novel controller consisting of the ¼-compensation Smith predictor and the PI controller with parameters optimized by the improved Ziegler-Nichols method. The control performance of the proposed controller is better than that obtained by using the conventional PI controller with optimal parameters. The introduction of the π-compensation Smith predictor effectively eliminates the time-delay in the control process; this improves the response speed and the system stability, and promotes the control accuracy. Since, by the integral time absolute error(ITAE) criterion, we have derived the mathematical relations between parameters of the π-compensation Smith predictor and the improved PI controller; it is possible to determine the parameters of the π-compensation Smith predictor from the parameters of the improved PI controller. Simulation and experimental results validate the effectiveness of this control method. In addition, this controller outperforms fuzzy PI controller in some filtering effects. |
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