智能控制算法在单元机组系统中的应用

Application of Intelligent Control Algorithm in Single Generating Unit

目前作为单元机组协调控制过程的常规控制法PID控制难以实现理想的控制目标,其主要原因在于控制模型的不确定性、参数时变性及非线性在控制过程中的干扰。对于模糊控制而言,获得理想的PID参数调整效果的途径只是初始PID参数、评价标准及模糊规则在知识库中的存入,是一种对数学模型的依赖性较弱的控制算法。本文主要介绍了模糊自适应PID控制算法中PID控制系统的结构、控制规则,并对其进行仿真分析。该模糊控制法不仅满足PID控制高精度的要求,也实现了控制的自适应性与灵活性,为解决实际控制问题提供了可行方法。

In the coordinated control process of generating units, the general PID control is difficult to achieve the desired effect due to ubiquitous nonlinearity, time-variable characteristics of parameters and the uncertainty of models. The dependence on mathematical model of fuzzy control is slight, so it doesn＇t have to establish accurate mathematics model of process, as long as save fuzzy rules and evaluation indexes and initialization parameters of PID in the knowledge base as knowledge, the parameters of PID can be adjusted best through knowledge and fuzzy reasoning according to the actual conditions of control system. It is a valid approach to solve the control problem of practical system for it not only make the PID control have high precision but also flexibility and adaptability. Simulate the control system of the parameters of PID which are fuzzy and adaptive with Matlab, can verify the feasibility of rules and parameters quickly and easily.