基于模糊和解耦的超临界机组协调控制研究

Study on coordinated control of supercritical unit based on fuzzy and decoupling

在超临界参数下,针对机组协调控制系统具有多变量、强耦合、非线性等特点,提出一种基于前馈补偿解耦和模糊自整定PID控制相结合的控制策略。首先对超临界机组协调控制系统被控对象的系统结构、动态特性以及建立简化数学模型等进行分析。然后根据机组特性和前馈补偿解耦理论,对被控对象进行动态解耦,消除各支路通道间的耦合作用。针对解耦补偿后的被控对象,采用模糊控制算法设计了模糊自整定PID控制器。最后在600 MW超临界协调控制系统的线性模型基础上,利用MATLAB对其进行了仿真实验。结果表明该控制方案具有较好的解耦效果,并且与传统PID控制器相比较,超调量减小,调节速度变快,具有更好的控制品质。

Under the condition of supercritical parameters,a control strategy based on feedforward compensation decoupling and fuzzy self-tuning PID control is proposed for the multi-variable coordinated control system which is strong coupling and non-linear. Firstly,the system structure,dynamic characteristics and simplified mathematical model of the control system of the supercritical unit are analyzed. Then, according to the unit characteristics and feedforward compensation decoupling theory,the controlled object is dynamically decoupled to eliminate the coupling effect between the branches. A fuzzy self-tuning PID controller is designed by fuzzy control algorithm for the controlled object after decoupling compensation. Finally,based on the linear model of a 600 MW supercritical coordination control system,the simulation is carried out in MATLAB. The results show that the control scheme has better decoupling effect,and compared with traditional PID controllers,the overshoot is reduced,and the adjustment speed becomes faster,and the control quality is better.