基于粒子群优化的 PID 自适应温度控制算法磁

摘要

A control strategy of particle swarm optimization was applied to a temperature control system with one ‐order inertia and time delay characteristics ,and a PID algorithm of self‐adaptive temperature control was presented using particle swarm optimization method in this article .The results showed that the introduced method have higher steady‐state precision and faster dynamic response characteristics when the proportional coefficient and delay time of temperature control system are changed .The introduced method could be applied to self‐adaptive processing and real‐time dynamic control for nonlinear iner‐tial system by comparing the traditional PID method and fuzzy PID method ,and it would provide the new ideas for the practi‐cal application of temperature control technology .%将粒子群优化控制策略应用到具有一阶惯性、纯滞后特点的温度控制系统中，基于粒子群优化设计实现一种PID 自适应温度控制算法。研究结果表明当控制系统的比例系数和滞后时间等参数变化时，论文的方法与模糊 PID 和传统PID 方法相比具有更高的稳态精度和更快的动态响应特性，适合于非线性惯性系统的自适应处理和实时动态控制，可为温度控制技术的实际应用提供新的研究方法和思路。