火电厂主蒸汽温度UMDA整定模糊PID控制算法

Fuzzy Self-tuning PID Control of Main Steam Temperature in Thermal Power Boilers Based on UMDA

针对火电厂锅炉主蒸汽对象的温度控制变参数、大时滞问题,提出了一种基于单变量分布估计优化算法(UMDA)整定的模糊PID控制算法,以改善温度控制效果.对于给出的大时滞系统模型,首先在PID控制器的基础上通过模糊控制规则并行地进行辅助修正,采用UMDA对其中参数进行整定,实现对模糊PID的自整定优化设置,最后对所设计的时滞温控系统进行仿真分析.结果表明:采用所提方法系统在无扰情况下基本不存在超调,摄动输入下也能明显地降低超调量,且调整时间较短,明显改善了原系统的动态性能和静态性能.

To solve the problem of large time delay and variable parameters in controlling the main steam temperature of thermal power boilers, a fuzzy self-tuning PID control algorithm was proposed based on univariate marginal distribution algorithm （UMDA）, so as to improve the effectiveness of temperature con- trol. For the given model of system with large time delay, fuzzy control rules were used to improve the PID controller, while parameters tuning was conducted by UMDA to achieve the optimization of the fuzzy PID controller, following which simulation and analysis were performed on the time-delay temperature control system. Results show that via the control algorithm proposed, there is basically no overshoot under normal working conditions, and the overshoot under perturbation conditions can be reduced remarkably, with obviously shortened adjustment time, indicating significant improvements on the performance of original system.