静电除尘用大功率高频高压电源预测控制研究
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(江苏科技大学 电子信息学院,江苏 镇江 212003)

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吴 尚(1988-),男,江苏徐州市人,硕士研究生,主要从事智能电气与系统、现代综合测控技术方向的研究。 曾庆军(1969-),男,江苏句容人,博士,教授,主要从事先进控制理论与应用、现代测控与智能系统方向的研究。[FQ)]

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江苏省科技支撑计划项目(BE2012146)。


Research on Prediction Control of High-power High-frequency High-voltage Power for Electrostatic Precipitator
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(School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China)

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    摘要:

    静电除尘用大功率高频高压电源系统具有非线性、时变性、迟滞性等特点,需要一类数学模型要求低、自适应能力强的非线性控制方法;以自主研发的静电除尘用大功率高频高压电源为研究对象,基于现场实际电源系统试验结果,采用最小二乘法辨识系统的近似传递函数模型,最后设计了一种新颖的基于动态矩阵算法(DMC)的模型预测控制器,实现针对电源输出电压的控制;仿真结果表明,该算法具有稳定性好、自适应强等优点,并具有良好的控制效果。

    Abstract:

    The dust movement by high-power high-frequency high-voltage power is characterized with nonlinear, time-varying, hysteresis and so forth. Thus, it requires a nonlinear control algorithm which has better adaptive features and a low demand for mathematical models. A high-power high-frequency high-voltage power,which is independently developed for electrostatic precipitator, is selected as the research object. Based on the field experiment results, parameters of the approximate transfer function are indentified by using least aquare method. A new Model Predictive Controller based on dynamic matrix control algorithm (DMC) is designed, realizing the control for the output voltage of power. Simulation results present that this algorithm has such advantages as good stability and strong self-adapting, with great control effects as a whole. 

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吴尚,申兆丰,魏月,曾庆军.静电除尘用大功率高频高压电源预测控制研究计算机测量与控制[J].,2016,24(2):107-110.

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  • 收稿日期:2015-09-01
  • 最后修改日期:2015-09-24
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  • 在线发布日期: 2016-07-27
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