CAJ | 학술논문

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。
재피공대상모형정도불고적정황하，설계료일충자괄응PID공제방법，제고기로봉성，이학보계통적향응구유최우적동태성능화은태성능。해방법재상규PID공제적기출상，인입지능기술，재선실시조정PID공제기적3개삼수。해공제기주요유3부분구성：일시채용유전산법우화모호추리규칙；이시정학적Vague집추리규칙표；삼시기우Vague집상사도량적자괄응PID공제。방진결과표명，해공제방법향응속도쾌，은태정도고。
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.