CAJ | 학술논문

苛化器内温度控制系统具有纯滞后、高阶非线性的特点，传统PID整定方法难以满足控制要求，且整定工作的完成费时耗力。针对上述问题，提出了基于粒子群优化算法(PSO)的PID参数整定方法，实现对PID控制参数的自适应调节。仿真结果表明：PSO-PID控制方案比传统的PID控制方案在静态和动态性能都有所改善，提高了系统的响应速度，减小了超调量，较好地实现了对苛化器内温度的控制。
가화기내온도공제계통구유순체후、고계비선성적특점，전통PID정정방법난이만족공제요구，차정정공작적완성비시모력。침대상술문제，제출료기우입자군우화산법(PSO)적PID삼수정정방법，실현대PID공제삼수적자괄응조절。방진결과표명：PSO-PID공제방안비전통적PID공제방안재정태화동태성능도유소개선，제고료계통적향응속도，감소료초조량，교호지실현료대가화기내온도적공제。
Aimed at large time-delay, high order nonlinear characteristics of the temperature controlling system in caustic stage, the traditional PID controller obtain the satisfactory controlling performance dififcultly and the process of the parameter setting of PID is time-consuming and laborious. The application of Particle Swarm Optimization in automatically tuning the parameters of PID controllers is introduced to solve the problem. Simulation result shows that the PID-PSO control system is better than the traditional PID controller in static and dynamic performance, improving the response speed of the system and reducing the overshoot. This approach obtains preeminent control performance of the temperature controlling system in the caustic process.