基于预测PI的多变量控制在锅炉燃烧系统中的应用

摘要

在锅炉的燃烧控制系统中,燃烧对象是一个具有多变量、强耦合、强干扰、大滞后等特性的复杂过程系统,常规的PID控制无法满足实际需求;针对该问题,提出了将动态解耦方法与非线性最小二乘优化算法相结合,得到降阶模型,并运用预测PI控制算法进行控制研究;仿真结果表明:基于降阶模型的预测PI解耦控制策略具有良好的稳定性和鲁棒性,且抗干扰能力强,具有一定的实际应用价值.%In the combustion control system of the boiler,the combustion object is a complex process system with many variables,strong coupling,strong interference,and large hysteresis.The conventional PID control can't meet the actual demand.Aiming at this problem,a new method which combining the dynamic decoup[ing method with the nonlinear least squares optimization algorithm to obtain the reducedorder model,and using the predictive PI control algorithm is proposed.The simulation results show that the decoupling control strategy with the predictive PI control based on the reduced-order model has better stability and robustness,and has strong anti-interference ability and practical application value.