文档介绍：遗传算法在主蒸汽温度控制系统中的应用
摘要
在电厂热工生产过程中,主蒸汽温度控制的任务是维持过热器出口蒸汽温度在允许范围之内。过热汽温被控对象是一个多容环节,它的纯迟延时间和时间常数都比较大,干扰因素多,对象模型不能精确确定,中间测点不易取,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。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搜索,而非盲目地穷举或完全随机搜索,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
IC ALGORITHM IN THE MAIN STEAM TEMPERATURE CONTROL
ABSTRACT
In the process of thermodynamic engineering in power plant,the main task in main steam temperature control is to control the super-heated steam temperature to some required range. The super-heated steam temperature object is a multi-container deadline time and time constant is relatively big. It has many disturbances,Its object model is not accurately is not easy to measure steam temperature in the super-heated implement. due to its plexity, making the model to obtain a certain degree of difficulty. PID regulation is the most important thermal system control strategy, which directly affect the unit's safety, economic operation. Adaptive ic algorithm as an intelligent optimization algorithm, which is the efficient heuristic solution space, rather than blindly exhaustive pletely random search, ic algorithm, the main steam temperature system controller parameters optimization, experiments show that Application of ic algorithm to optimize the controller parameters. The simulation results show that in the main steam temperature control system, designed in this paper a modified ic algorithm to optimize the PID controller than the conventional PID controller has better control effect.
Keywords: ic algorithms, Main steam temperature control, Thermal system, Regulator parameters, Optimization
目录
前言 1
第1章主汽温调节系统的控制方案 1
传统主汽温调节系统 1
主汽温串级调节系统 1
采用导前汽温微分信号的双回路汽温调节系统 2
先进的主汽温控制策略 3
第2章遗传算法的基础知识 5
遗传算法的概念 5
遗传算法的生物学原理 5
遗传算法的发展 5
遗传算法的特点 6
遗传算法的工作原理 7
遗传算法的基本操作