- 【会议EI】An Improved Method of HDP for Optimal Control in Wiped Film Molecular Distillation System
- 点击次数：
- 所属单位：电气与电子工程学院
- 教研室：电气与电子工程学院
- 发表刊物：(PHM-Chengdu), 2016
- 项目来源：其他课题
- 关键字：wiped film molecular distillation; extreme learning machine; heuristic dynamic programming; optimizing control
- 摘要：For the wiped film molecular distillation system which has the characteristics of multiple parameter, large inertia, large time delay, nonlinearity and others, adjustment it’s parameters mainly bases on human experience. In order to stabilize the production process, Extreme Learning Machine network is used to model the molecular distillation system and proposes heuristic dynamic programming algorithm based on extreme learning machine. For the purpose of verifying the effectiveness of the algorithm, the algorithm is used to control the wiped film molecular distillation system and the optimizing control results show that the heuristic dynamic programming algorithm has good control effect and improves the stability of the molecular distillation process. At the same time, the convergence rate of Heuristic Dynamic Programming based on the Extreme Learning Machine is faster than the Heuristic Dynamic Programming based on the BP network by analyzing experiment result.
- 合写作者：孙文杰
- 第一作者：李慧
- 论文类型：论文集
- 页面范围：2
- 是否译文：否
- 发表时间：2016-10-21
