• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Thermal engineering >PID-controller with predictor and auto-tuning algorithm: study of efficiency for thermal plants
【24h】

PID-controller with predictor and auto-tuning algorithm: study of efficiency for thermal plants

机译：具有预测器和自动调节算法的PID控制器：热电厂效率研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The problem of efficiency estimation of an automatic control system (ACS) with a Smith predictor and PID-algorithm for thermal plants is considered. In order to use the predictor, it is proposed to include an auto-tuning module (ATC) into the controller; the module calculates parameters for a second-order plant module with a time delay. The study was conducted using programmable logical controllers (PLC), one of which performed control, ATC, and predictor functions. A simulation model was used as a control plant, and there were two variants of the model: one of them was built on the basis of a separate PLC, and the other was a physical model of a thermal plant in the form of an electrical heater. Analysis of the efficiency of the ACS with the predictor was carried out for several variants of the second order plant model with time delay, and the analysis was performed on the basis of the comparison of transient processes in the system when the set point was changed and when a disturbance influenced the control plant. The recommendations are given on correction of the PID-algorithm parameters when the predictor is used by means of using the correcting coefficient k for the PID parameters. It is shown that, when the set point is changed, the use of the predictor is effective taking into account the parameters correction with k = 2. When the disturbances influence the plant, the use of the predictor is doubtful, because the transient process is too long. The reason for this is that, in the neighborhood of the zero frequency, the amplitude-frequency characteristic (AFC) of the system with the predictor has an ascent in comparison with the AFC of the system without the predictor.
机译：考虑了具有史密斯预测器和PID算法的热电厂自动控制系统（ACS）的效率估算问题。为了使用预测器，建议在控制器中包括一个自动调整模块（ATC）。该模块会计算带时滞的二阶工厂模块的参数。这项研究是使用可编程逻辑控制器（PLC）进行的，其中一个执行控制，ATC和预测器功能。模拟模型用作控制工厂，该模型有两种变体：一种是在单独的PLC的基础上构建的，另一种是以电加热器形式的热电厂的物理模型。对于带有时滞的二阶工厂模型的多个变体，使用带预测器的ACS效率进行了分析，并且在比较设定值和变化时系统中瞬态过程的比较基础上进行了分析。当干扰影响了控制工厂时。当通过使用针对PID参数的校正系数k来使用预测变量时，给出有关PID算法参数校正的建议。结果表明，当改变设定点时，考虑到k = 2的参数校正，预测器的使用是有效的。当干扰影响工厂时，预测器的使用是可疑的，因为过渡过程是太长。其原因是，在零频率附近，具有预测器的系统的幅度-频率特性（AFC）与没有预测器的系统的AFC相比具有上升的趋势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号