IR
离散时间非线性多步滑模预测控制理论研究
Project Number61463029
唐伟强
Abstract滑模预测控制在高精度工程中有着广泛的应用前景,而采用线性预测方法对滑模动态进行预测往往满足不了高精度控制的要求。本项目拟将非线性预测方法与滑模控制相结合,力图建立一种基于滑模非线性多步预测的滑模控制新方法。基于稳定性分析确定终端滑模函数和状态的收敛边界,综合优化终端滑模函数的控制参数和系统采样周期选取;利用非线性终端滑模函数作为滑模动态的预测模型,考虑控制、状态和保持算法稳定性的滑模初始收缩约束;采用自适应信赖域序列二次规划对约束优化问题进行高效求解。通过对线性、非线性和时滞等不同系统进行研究,明确滑模非线性预测与控制精度之间的关系,分析其影响控制性能的机理,建立集控制与优化为一体的滑模预测控制分析与设计理论。本项目创新之处为利用连续时间域内具有有限时间收敛属性的非线性终端滑模函数作为滑模预测模型和考虑约束的非线性优化控制求解。研究成果将丰富滑模控制理论,为滑模预测控制应用开启新的途径。【英文摘要】Slidingmodepredictivecontrolhasabroadprospectofapplicationsinthehigh-precisionengineering,however,theuseoflinearpredictionmethodtopredictthedynamicsoftheslidingmodeoftencannotmeetrequirementsofhigh-precisioncontrol.Theprojectintendstocombinenonlinearpredictionmethodwithslidingmodecontrol,tryingtoestablishanewslidingmodepredictivecontrolmethodbasedonslidingmodenonlinearmulti-stepprediction.Basedonthestabilityanalysismethodtheconvergentboundariesofterminalslidingmodefunctionandsystemstatecanbedetermined,sothecontrolparametersofterminalslidingfunctionandthesamplingperiodcanbeoptimallyselected.Nonlinearterminalslidingfunctionisadoptedastheslidingmodedynamicspredictionmodel,consideringthecontrol,stateconstraintsandslidingmodeinitialcontractiveconstraintsthatkeepingstability.Usingadaptivetrustregionsequentialquadraticprogrammingsolvestheconstrainedoptimizationproblemefficiently.Researchonlinearsystems,nonlinearsystemsandtime-delaysystemsusingtheproposedapproach,arelationshipbetweenthenonlinearslidingmodepredictionandthecontrolaccuracycanbeidentified,analyzingthemechanismofitsimpactonthecontrolperformance,establishingslidingmodepredictivecontrolanalysisanddesigntheoryintegratedcontrolandoptimization.Innovationsofthisprojectaretheuseofnonlinearterminalslidingmodefunctionwithafinitetimeconvergentpropertyincontinuous-timedomainastheslidingmodepredictionmodelandsolvingnonlinearoptimizationconsideringconstraints.Theresearchresultswillenrichslidingmodecontroltheory,openinganewavenueforapplicationsofslidingmodepredictivecontrol.
Subtype地区科学基金项目
Project Source国家自然科学基金
2015-01
End Date2018-12
MOST Discipline Catalogue12 - 信息科学 ; 1203 - 自动化
Host Institution兰州理工大学
Project Funding440000.0
CountryCN
Language中文
Document Type项目
Identifierhttp://ir.lut.edu.cn/handle/2XXMBERH/64705
Collection兰州理工大学
Recommended Citation
GB/T 7714
唐伟强.离散时间非线性多步滑模预测控制理论研究.2015.
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[唐伟强]'s Articles
Baidu academic
Similar articles in Baidu academic
[唐伟强]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[唐伟强]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.