论文部分内容阅读
介绍一种RBF神经网络逆控制与非线性PID相结合的控制策略,以解决焦化集气管压力与鼓风机系统中出现的问题,既保证了系统稳定性,又改善了系统的性能。
A control strategy combining RBF neural network inverse control with nonlinear PID is introduced to solve the problems of coking manifold pressure and blower system, which not only ensures the stability of the system but also improves the performance of the system.