摘要
研究了基于广义基函数神经模糊模型的逆系统实现及其直接逆模控制 ,并提出将直接逆模控制与PID反馈控制相结合的复合控制策略 .该控制策略已应用于CSTR的反应浓度控制 .仿真结果表明 ,神经模糊逆模 /PID复合控制能克服因辨识逆模型不精确引起的缺陷 ,并具有良好控制性能 .
This paper studies the realization of inverse systems and direct inverse control strategies based on the generalized basis function neural fuzzy network (GBFNFN), and presents the composite control strategy combining neuro fuzzy inverse control with PID control. The composite control strategy has been applied to the control of the concentration of a continuous stirred tank reactor (CSTR). Simulation results show that the composite control strategy can overcome the defects of direct inverse control caused by inaccuracy of the identified inverse model, and that the system can have good control performances.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2001年第5期769-773,共5页
Control Theory & Applications
基金
国家自然科学基金(69870 411)资助项目
