云模型算法及在过热汽温控制中的仿真研究  

Intelligent Control Algorithm of Cloud models and Simulation Research of Superheated Steam Temperature Control

作　　者：郑恩让[1] 回立川[1] 王新民[2] 

机构地区：[1]陕西科技大学电气与电子工程学院,陕西咸阳712081 [2]西北工业大学自动化学院,陕西西安710072

出　　处：《系统仿真学报》2007年第1期98-100,共3页Journal of System Simulation

基　　金：陕西省教育厅基金项目(02JK174)

摘　　要：为了实现非线性、大时滞系统的良好控制,提出了一种新型的云模型智能控制算法。该算法是基于云模型控制规则的不确定性推理,用期望值Ex、熵En和超熵He表征定性概念,将概念的模糊性和随机性集成在一起,实现知识库中定量与定性之间的相互转换。该智能控制器采用模糊控制原理,同时为了消除稳态误差,加入了一维云控制,故采用了一种基于混合维的云模型智能控制器,并对600MW超临界机组直流锅炉的过热汽温进行了仿真研究。仿真结果表明,该控制器简易、直观、鲁棒性强,具有良好的控制性能和较好的应用价值。For implementing excellent control to nonlinear systems with long time-delay, a new intelligent control algorithm of cloud models was proposed. This algorithm presents the uncertainty reasoning of control rules based on cloud model. It represents a qualitative concept with expected value Ex, entropy En and hyper entropy He, and integrates the fuzziness and randomness of a linguistic concept in a unified way. This model is a new method for transformation between qualitative and quantitative in the knowledge. The intelligent controller uses the theory of the fuzzy control, designing a variant dimension cloud model intelligent controller containing a one-dimension cloud model controller to eliminate steady-state error, which is used for superheated steam temperature control of a supercritical once-though 600MW boiler. It also shows that the cloud controller is simple and easy, directly perceived through the senses, and has strong robustness, better control performance, and good application.

关 键 词：云模型 云发生器 热能动力工程 过热汽温 智能控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]