电厂锅炉燃烧系统先进过程控制实验仿真平台

Advanced process control simulation platform for combustion system of boiler in power plant

锅炉燃烧控制系统是一个多变量、强耦合、非线性、大时滞的不确定性系统,因此APC控制策略已成为解决其控制问题的主要手段。本文设计了一套涵盖优化层、监控层及过程层的,半实物的锅炉燃烧系统APC控制实验仿真平台。基于以太网及OPC通信,该平台实现了控制器、虚拟对象、组态系统及优化模型之间数据的互联互传。本文以模糊神经网络控制算法作为APC控制策略示例进行系统功能验证,仿真结果表明该平台有助于工程设计人员在现场调试前对锅炉燃烧系统的顺序逻辑控制和先进控制策略进行验证。

The control system of combustion in boiler is an uncertain process with characters such as multi-various, strong coupling, nonlinearity, so advanced process control （APC） policies have been applied to solve those problems. A simulation plant for control system of combustion in boiler is designed, including optimization layer, surveillance layer and process control. In this platform, based on OPC technology and Ethemet, the process data are exchanged each other among controller, virtual plant, configuration system and optimization model. After testing the case of fuzzy neural networks control, simulation results indicate that it is helpful for engineer to verify logical control and APC policies before applied in actual system.