摘要
遗传算法是根据有性生物繁衍过程中基因杂交、基因突变产生新基因的过程而产生的一种全局搜索方法。在对遗传算法选型、编码等基本选型之后,将其应用在二阶系统多变量的参数优化中,在保持PID调节原有优良性能不变的情况下,能够很好地解决传统校正方法产生的系统超调量过大的问题。
Genetic algorithm is a global search method based on the process of sexual reproduction,in which new genes are produced by gene hybridization and gene mutation.In this paper,genetic algorithm selection,coding and other basic selection will be followed by its application in the parameter optimization of second-order multi-variable system.It can be a good solution to the excessive overshoot problem resulted from traditional calculation methods,under the condition of keeping the excellent PID regulation performance.
出处
《机械工程与自动化》
2012年第1期150-151,154,共3页
Mechanical Engineering & Automation
关键词
遗传算法
PID
参数优化
genetic algorithm
PID
parameter optimization