文档介绍：湘潭大学
硕士学位论文
基于免疫遗传算法参数优化的PID控制
姓名:盛孟刚
申请学位级别:硕士
专业:计算机控制技术与应用
指导教师:黄辉先
20050501
Abstract
Abstract
PID control is the mon control method used in process
control because of its single algorithm, good robustness and high
reliability. Sometimes it is difficult to establish the precise mathematical
model in practice, as industry process has non-linearity and time-variety
uncertainty. So it cannot attain perfect control effect to use the general
PID controller in industry process. Aiming at these questions, people
continuously research the methods, which can tune the parameters of the
PID controller plex industry status and more exact control
demands.
Although there are many advantages in using PID control, it is
difficult to robustly tune the parameters. Therefore, many specialists and
scholars begin to study some optimal algorithms to tune PID control
parameters, such as the adaptive intelligent controller, the
controller, the ic algorithm controller, etc. The traditional ic
algorithms have a set of quite perfect algorithm system and have been
applied in many optimization problems essfully. But there are still
some drawbacks, such as lack of local search ability, premature
convergence, random walking, etc., which lead to the bad performance in
convergence. Recently the studies on biology show that the immune
action can hamper the premature and effectively speed up the optimizing.
Therefore, the immune principle can give us important edification on
how to enhance the performance in the traditional ic algorithms.
This dissertation propose a novel and effective optimization
algorithm of PID controller parameters based on Immune ic
Algorithm (IGA) over the analysis of the drawbacks of traditional GA's
and the existing immune theories. This dissertation aims to make the
designed algorithm effectively resolve the contradiction between local
and global search capability and keep the population diversi