基于改进的ELMAN神经网络的内模控制方法及应用

Internal Model Control Methods Based on NN Improved by ELMAN and its Application

提出一种基于改进的Elman网络的内模控制方法,更好地适用于具有大惯性、大延迟和时变等特性的系统,并用于热工对象中的主汽温系统。仿真研究结果表明,该控制方案适应对象参数的变化并表现出良好的控制特性,具有较强的鲁棒性和自适应能力。

An internal model control method based on NN improved by ELMAN was put forward, it is applicable to Great Inertia,Long Time-delay and time-varying system,and used in main steam temperature control system of thermal objects. Simulation results show the method fits change of objects parameter and put up well control characteristic with robustness and self-adaptation ability.