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将预测控制和PID控制器结合运用于再热汽温系统的控制中。采用神经网络作为预测模型,并将混沌优化算法运用于该系统的PID参数在线优化。通过计算机仿真,验证了该算法的有效性。
Predictive control and PID controller are combined to control the reheat steam temperature system. The neural network is used as a predictive model, and the chaos optimization algorithm is applied to online optimization of PID parameters of the system. The effectiveness of the algorithm is verified by computer simulation.