基于遗传算法的机炉协调系统PID控制器优化  

Optimization of PID Controllers of a Boiler-turbine Coordinated Control System Based on a Genetic Algorithm

作　　者：薛亚丽[1] 李东海[1] 吕崇德[1] 

机构地区：[1]清华大学热能工程系电力系统及发电设备控制和仿真重点实验室,北京100084

出　　处：《热能动力工程》2006年第1期80-83,87,共5页Journal of Engineering for Thermal Energy and Power

基　　金：国家自然科学基金资助项目(50376029)

摘　　要：设计有效的机炉协调控制系统对提高热工自动化水平具有重要意义。针对火电机组的机炉控制系统,提出了一种基于遗传算法的多变量PID控制器参数优化方法。利用遗传算法提供的通用框架,在控制系统结构和控制器形式确定的情况下对控制参数进行全局优化。方法具有全局并行优化和面向目标函数的特点,与广义ZN整定方法相比的仿真研究表明,优化后的协调控制系统的动态性能有明显改善,并且容易扩展到其它控制方案下的参数优化,显示了方法的可行性和适用性。The design of an effective boiler-turbine coordinated control system is of major significance for enhancing the thermotechnical automation level of power plants.With respect to the boiler-turbine control system of a thermal power plant the authors have proposed a parameter optimization method for a genetic algorithmbased multivariable PID controller.By utilizing the general-use framework provided by a genetic algorithm a global optimization of the control parameters was conducted under a specified control system structure and controller format.The proposed method features a global-parallel optimization and is target-function oriented.A simulation study carried out by comparing with a generalized ZN setting method has shown that the dynamic performance of the coordinated control system after optimization has been markedly improved.Moreover,it can be easily extended to parameter optimization under other control schemes,displaying the feasibility and usability of the method under discussion.

关 键 词：遗传算法 PID控制器 机炉协调 

分 类 号：TK323[动力工程及工程热物理—热能工程]