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 decoupling method with the nonlinear least squares optimization algorithm to obtain the reduced-order 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.
出处
《计算机测量与控制》
2017年第9期55-59,共5页
Computer Measurement &Control
关键词
动态解耦方法
非线性最小二乘优化算法
预测PI控制
鲁棒性
dynamic decoupling method
nonlinear least squares optimization algorithm
predictive PI control
robustness
