Stepped generalized predictive control of test tank temperature based on backpropagation neural network

doi:10.1016/j.aej.2020.08.032

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Stepped generalized predictive control of test tank temperature based on backpropagation neural network
	Q. Zhao; Q. Liu; N. Cao; F. Guan; S. Wang and H. Wang
刊名	Alexandria Engineering Journal
	2021
卷号	60 期号:1 页码:357-364
ISSN号	11100168
DOI	10.1016/j.aej.2020.08.032
英文摘要	It is significant to ensure the temperature stability of the test tank, which has a direct impact on reducing production energy consumption, improving tank quality and ensuring experimental results. However, the high nonlinearity and long delay of the temperature control process in the test tank make it difficult to satisfactorily control the temperature by traditional control methods. To solve the problem, this paper designs a temperature prediction model for the test tank based on backpropagation neural network (BPNN), which has a good fitting ability for nonlinear systems. The proposed model was coupled with improved generalized predictive control (GPC) into a new test tank temperature control method, namely, BPNN-based stepped GPC. Simulation results show that the new control method could reduce the prediction error of the BPNN and effectively control the temperature of the test tank. 2020 Faculty of Engineering, Alexandria University
URL标识	查看原文
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/65653]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Q. Zhao,Q. Liu,N. Cao,et al. Stepped generalized predictive control of test tank temperature based on backpropagation neural network[J]. Alexandria Engineering Journal,2021,60(1):357-364.
APA	Q. Zhao,Q. Liu,N. Cao,F. Guan,&S. Wang and H. Wang.(2021).Stepped generalized predictive control of test tank temperature based on backpropagation neural network.Alexandria Engineering Journal,60(1),357-364.
MLA	Q. Zhao,et al."Stepped generalized predictive control of test tank temperature based on backpropagation neural network".Alexandria Engineering Journal 60.1(2021):357-364.