基于遗传算法的自适应PID在火电机组中的应用

摘要

将遗传算法中的遗传算子、选择算子、变异算子进行改进，并引入PID控制策略中，形成基于遗传算法的参数自适应PID控制策略。通过Matlab仿真及现场试验对该控制策略进行了验证，并在火电机组主汽温度自动控制系统中加以应用。结果表明，该控制策略的控制性能良好，提高了控制系统的控制品质和可靠性。%The genetic factor, selection factor and mutation operator of genetic algorithm were improved and introduced into the PID control strategy, the control strategy of parameter adaptive PID control based on genetic algorithm was generated. Confirmed by Matlab simulation in computer and field test, the strategy was applicated in automatic control of the main steam temperature system, the result showed that this control strategy performance was better, could improve control quality and system reliability.