首页> 外文学位 >A 3D fuzzy PID and CMPC hybrid strategy for nonlinear processes.
【24h】

A 3D fuzzy PID and CMPC hybrid strategy for nonlinear processes.

机译:非线性过程的3D模糊PID和CMPC混合策略。

获取原文
获取原文并翻译 | 示例

摘要

A 3D Fuzzy PID & CMPC hybrid strategy is presented for advanced control and optimization of nonlinear processes. The strategy utilizes fuzzy logic in a three dimensional fashion (i.e. acting upon error, change in error, and the controlled variable) to adjust the tuning parameters of a PID controller. Fuzzy logic provides a vehicle for incorporating nonlinear process knowledge into the common PID algorithm via tuning parameters that adjust to the process state at each sampling interval. Using a 3D Fuzzy PID controller to handle the process nonlinearity, then it is possible to develop a linearized model between the set point of the controller and the process output. CMPC can be then employed to provide advanced control and optimization. The 3D Fuzzy PID & CMPC hybrid strategy is applied to both a pilot-scale nonlinear system containing pH-type nonlinearity as well as an industrial coal-fired boiler located at the University of Louisville Steam Plant.; For the industrial coal-fired boiler, an experimental 3D fuzzy logic knowledge base is applied to the master pressure PID controller to handle an apparent nonlinearity. [ONLINE]®, a CMPC software package developed by Six Sigma and Advanced Controls, Inc. is implemented under supervision of a Master Fuel Table for real time optimization (RTO). The boiler combustion process is a four-input by three-output system with one measured disturbance. The three controlled variables of interest are steam pressure, stack O 2, and opacity. The four PID controllers that regulate these variables are the master pressure, forced draft, O2 trim, and induced draft. The measured disturbance is the steam demand (flow to campus).; The 3D fuzzy PID & CMPC hybrid strategy demonstrated excellent performance in both the short and long term by holding pressure at set point and providing the optimal mix of fuel and combustion air. During the month of December 2002, a 2-ton per day reduction in coal usage as well as an increase of 5.2% in combustion efficiency was observed.
机译:提出了一种用于非线性过程的高级控制和优化的3D Fuzzy PID&CMPC混合策略。该策略以三维方式(即对误差,误差变化和受控变量起作用)使用模糊逻辑来调整PID控制器的调节参数。模糊逻辑提供了一种工具,用于通过调整参数将非线性过程知识整合到通用PID算法中,这些参数会在每个采样间隔调整为过程状态。使用3D Fuzzy PID控制器来处理过程非线性,然后可以在控制器的设定值和过程输出之间建立线性化模型。然后可以使用CMPC提供高级控制和优化。 3D Fuzzy PID和CMPC混合策略既适用于包含pH型非线性的中试规模非线性系统,也适用于位于路易斯维尔大学蒸汽工厂的工业燃煤锅炉。对于工业燃煤锅炉,将实验3D模糊逻辑知识库应用于主压力PID控制器以处理明显的非线性。 [ONLINE] ®是由Six Sigma和Advanced Controls,Inc.开发的CMPC软件包,在实时实时优化(RTO)的主燃料表的监督下实施。锅炉燃烧过程是四输入三输出系统,只有一个测得的干扰。感兴趣的三个控制变量是蒸汽压力,烟囱O 2 和不透明度。调节这些变量的四个PID控制器是主压力,强制通风,O 2 调整和诱导通风。测得的扰动是蒸汽需求(流向校园)。 3D模糊PID和CMPC混合策略通过将压力保持在设定点并提供燃料和燃烧空气的最佳混合,在短期和长期内均表现出出色的性能。在2002年12月,每天的煤炭使用量减少了2吨,燃烧效率提高了5.2%。

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