模糊自整定PID控制及其在过热汽温系统中的应用

在工业生产过程中，许多被控对象随着运行工况的变化，其对象特性参数或结构将发生很大改变，单一参数的控制器难以获得所需的调节效果。针对这种情况，基于模糊逻辑的智能性和PID控制器的简单实用性，提出了模糊自整定PID控制策略。PID控制器参数的整定被分为粗调和细调2个阶段，粗调阶段基于发电机组负荷进行模糊预整定，基本适应运行工况的大范围变化，细调阶段基于系统的被调性能指标进行再整定，以进一步适应运行工况的小范围变化并克服各种可能的干扰。对具有严重参数不确定性、多扰动以及大迟延的电厂主汽温度被控对象进行了仿真研究。仿真结果表明：所给出的控制策略能较好地适应对象动态模型的大幅度变化，保持较优的鲁棒调节性能。

Fuzzy Logic Self-Tuning PID Control for Superheated Steam Temperature System

Based on the intelligence of fuzzy logic and the simplicity and practicality of PID control, this paper puts forward an intelligent fuzzy self-tuning PID control strategy. The parameters of PID controller are divided into primary tuning and fine tuning. The primary tuning is based on the generating unit load, it can adapt the great range changing of operating point. In order to adapt the small range changing of operating point and overcome all kinds of disturbances, the fine tuning is based on performance index of the system. Simulation for a steam temperature system with severe parameter uncertainty, multiple disturbance and large time delay is carried out. Simulation results demonstrate that it can adapt the large changing of dynamic model, a good robust regulating performance is obtained.