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多变量半自适应预测控制系统架构
Alternative TitleA framework for multi-variable semi-adaptive predictive control system
郑洪宇1,2; 王鹏2,3; 邹涛2; 胡静涛2; 于海斌2
Department工业控制网络与系统研究室
Source Publication中国科学:信息科学
ISSN1674-7267
2019
Volume49Issue:1Pages:57-73
Indexed ByCSCD
CSCD IDCSCD:6411401
Contribution Rank1
Funding Organization国家重点研发计划(2017YFA0700303, 2017YFB0603703) ; 国家自然科学基金(61773366, 61533015) 资助项目
Keyword自适应控制 模型预测控制 系统辨识 参数估计 区间控制
Abstract针对模型因素引起的预测控制性能退化问题,本文提出一种多变量半自适应预测控制系统架构.该架构将传统的控制模式改变为测试模式,变传统的设定值控制为区间控制,从而实现了测试过程中输出变量的约束满足.所提出的半自适应预测控制体系架构能够在确保生产正常进行的前提下,实现过程的开环测试,提高测试效率,并通过极大化测试信号的幅值来确保测试过程的信噪比.进一步地,将该框架从约束预测控制扩展到双层结构预测控制,引入平衡系数实现经济效益与测试之间的平衡.本文提及的测试方法是一种在线开环测试,避免了闭环测试过程中测试输入信号与不可测噪声的相关性问题.仿真实例验证了该方法的有效性.
Other AbstractIn view of the degradation of predictive control performance caused by model mismatch, a multivariable semi-adaptive zone predictive control system framework is presented. The proposed framework changes the traditional control mode to testing mode, turns set-point control to zone control. thus realizing the constraint satisfaction of the output variables of the test process. For constraint zone model predictive control in integrated testing mode, the amplitude strength of testing input signals is introduced to realize the constraint guarantee function and the signal-to-noise ratio maximization. The framework implements the open loop test to improve test efficiency under the premise of production on the rails. The signal-to-noise ratio of the testing process is ensured through the maximization test signal amplitude. Furthermore, the framework is extended from constrained predictive control to two-layer model predictive control, and the benefit balance coefficient is introduced to realize the balance between economic benefit and testing. The method mentioned in the paper is a kind of on-line open-loop identification, solving the problem of the correlation between input signals and noises in closed-loop identification. The simulation results verify the effectiveness of the method.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/23940
Collection工业控制网络与系统研究室
Corresponding Author邹涛; 于海斌
Affiliation1.东北大学信息科学与工程学院
2.中国科学院沈阳自动化研究所工业控制网络与系统研究室
3.中国科学院大学
Recommended Citation
GB/T 7714
郑洪宇,王鹏,邹涛,等. 多变量半自适应预测控制系统架构[J]. 中国科学:信息科学,2019,49(1):57-73.
APA 郑洪宇,王鹏,邹涛,胡静涛,&于海斌.(2019).多变量半自适应预测控制系统架构.中国科学:信息科学,49(1),57-73.
MLA 郑洪宇,et al."多变量半自适应预测控制系统架构".中国科学:信息科学 49.1(2019):57-73.
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