毕业论文：遗传算法在主汽控制系统中的应用汇.doc

摘要 洛阳理工学院毕业设计（论文） PAGE IV  PAGE 5 遗传算法在主汽控制系统中的应用 摘 要 电厂中的热工系统是一个复杂的系统，由于其特有的复杂性，使得模型的获取有一定的难度．PID调节是热工系统最主要的控制策略，它直接影响机组的安全、经济运行．自适应遗传算法作为一种智能优化算法，它是在解空间进行高效启发式有哪些信誉好的足球投注网站，而非盲目地穷举或完全随机有哪些信誉好的足球投注网站，应用遗传算法对主汽温系统控制器参数进行优化，实验表明，应用遗传算法优化控制器参数的优越性。仿真结果表明，在主蒸汽温度控制系统中，本文所设计的用改进的遗传算法优化的PID控制器比常规的PID控制器有更好的控制效果。 关键词：遗传算法，主汽温控制，热工系统，调节器参数，参数优化 GENETIC ALGORITHM IN THE MAIN STEAM TEMPERATURE CONTROL ABSTRACT Thermal power plant system is a complex system, due to its unique complexity, making the model to obtain a certain degree of difficulty. PID regulation is the most important thermal system control strategy, which directly affect the units safety, economic operation. Adaptive genetic algorithm as an intelligent optimization algorithm, which is the efficient heuristic solution space, rather than blindly exhaustive or completely random search, genetic algorithm, the main steam temperature system controller parameters optimization, experiments show that Application of genetic algorithm to optimize the controller parameters. The simulation results show that in the main steam temperature control system, designed in this paper a modified genetic algorithm to optimize the PID controller than the conventional PID controller has better control effect. Keywords: Genetic algorithms, Main steam temperature control, Thermal system, Regulator parameters, Optimization 前言 目　录  TOC \o 1-3 \h \z \u  HYPERLINK \l _Toc264188837 前　言  PAGEREF _Toc264188837 \h 1  HYPERLINK \l _Toc264188838 第1章 主汽温调节系统的控制方案  PAGEREF _Toc264188838 \h 3  HYPERLINK \l _Toc264188839 1.1主汽温串级调节系统  PAGEREF _Toc264188839 \h 3  HYPERLINK \l _Toc264188840 1.2采用导前汽温微分信号的双回路汽温调节系统  PAGEREF _Toc264188840 \h 4  HYPERLINK \l _Toc264188841 第2章 遗传算法的基础知识  PAGEREF _Toc264188841 \h 6  HYPERLINK \l _Toc264188842 2.1遗传算法的概念  PAGEREF _Toc264188842 \h 6  HYPERLINK \l _Toc264188843 2.1.1遗传算法的生物学原理  PAGEREF _Toc264188843 \h 6  HYPERLINK \l _Toc264188844 2.1.2遗传算法的