基于遗传算法和 Vague集的液压位置控制系统自适应 PID控制

Adaptive PID Control of Hydraulic Position Control SystemBased on Genetic Algorithm and Vague Sets

摘要:

在被控对象模型精度不高的情况下,设计了一种自适应 PID控制方法,提高其鲁棒性,以确保系统的响应具有最优的动态性能和稳态性能。该方法在常规 PID控制的基础上,引入智能技术,在线实时调整 PID控制器的 3个参数。该控制器主要由 3部分构成:一是采用遗传算法优化模糊推理规则；二是精确的 Vague集推理规则表；三是基于 Vague集相似度量的自适应 PID控制。仿真结果表明,该控制方法响应速度快,稳态精度高。

Abstract:

A self-adaptive PID control method was designed to improve the robustness and to ensure that the response of the system for the model’s low accuracy of the objects under control. On the basis of classical PID, intelligent technique was introduced so as to timely online adjust the three parameters of classical PID. The controller mainly consists of three parts:(1) fuzzy inference rules were optimized by the genetic algo? rithm; (2) precise Values of vague sets reasoning rules; (3) the design of a self- adaptive PID controller based on Vague sets using measures of similarity reasoning. The simulation results showed that the controller had a faster response speed and higher steady state precision.