节点文献
基于径向基函数神经网络偏差补偿的预测函数控制
Predictive Functional Control Based on Radial Based Function Neural Networks Deviation Compensation
【摘要】 基于线性模型设计预测函数控制器,用径向基函数神经网络(RBFNN)来补偿由系统的非线性和外界干扰引起的预测误差,从而实现非线性系统的自适应预测函数控制.将该控制算法用于pH中和滴定过程,仿真实验表明该算法计算量小,控制效果好.
【Abstract】 The design of predictive functional controller is based on the linear model, radial based function neural networks is used as the compensator to eliminate unmodelld dynamics and the existed disturbance, so the adaptive predictive functional control of the system is realized. The simulation experiment shows that the control algorithm is simple and efficient.
【关键词】 预测函数控制;
动态补偿;
径向基函数网络;
非线性系统;
【Key words】 predictive functional control (PFC); dynamic compensation; radial based function neural networks(RBFNN); nonlinear system;
【Key words】 predictive functional control (PFC); dynamic compensation; radial based function neural networks(RBFNN); nonlinear system;
【基金】 教育部留学回国人员科研启动基金(教外司留[2002]247号)
- 【文献出处】 哈尔滨理工大学学报 ,Journal of Harbin University of Science and Technology , 编辑部邮箱 ,2003年01期
- 【分类号】TP183
- 【被引频次】15
- 【下载频次】173