Grant: Discovery Grants Program - Individual
Lakehead University
$28,080.00
Adaptive control of nonlinear systems and applications
EF 2006-07
Résumé
Some physical systems are modeled by ordinary differential equations (ODE), while others must be described by differential algebraic equations (DAE). In general, DAE systems are the basic description of a number of practical processes while ODE systems are a simplification. Some DAE systems can be reduced to ODE systems. In most cases, such a simplification is not realizable. Therefore, the study of DAE systems is as significant as ODE systems. Almost all physical systems are nonlinear in nature and contain a certain amount of unknown parameters. Therefore, it is of both theoretical and practical importance to develop a nonlinear control theory for constructing controllers to achieve the control objectives and designing adaptive laws to estimate unknown parameters. Adaptive control has been drawing great attention from control experts since the 1970s. For linear systems, the adaptive control theory has been well established, while it is far from perfect for the nonlinear counterpart. All existing adaptive control design methods have their limitations. The first objective of this research program is to improve the existing adaptive controller design methods and search for a new design technique. The control theory of linear DAE systems has been well established. The literature on feedback control of nonlinear DAE systems is sparse. To the best of the applicant's knowledge, the adaptive control problems for DAE systems is still open. The second objective of this research program is to develop a design method for adaptive control of nonlinear DAE systems. It is obvious that there exists a big gap between the control theory and engineering fields. The third objective is to investigate the applications of nonlinear adaptive control to robots, motors, power electronics converters, and so on, to reduce the gap between the adaptive control theory and applications. The significance of this program lies in a possible breakthrough in the adaptive control theory for nonlinear DAE systems and applications of adaptive control theory.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
250311-2006
Name nom
Liu, Xiaoping
Department département
Electrical Engineering
Organization id
25
Institution établissement
Lakehead University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2006
Competition year année de concours
2006
Award amount
28080
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
335
Committee name en
Electromag. & Electr. Systems (H)
Committee name fr
Électromagn. et syst. électr. (H)
Area of application code
513
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Electrical and electronic machinery and equipment (including computer hardware)
Area of application fr
Machinerie et équipement électriques et électroniques (y compris matériel informatique)
Research subject code
2509
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Control systems
Research subject fr
Asservissements
Partie
1
Nb partie
5
Application title
Adaptive control of nonlinear systems and applications
Keyword
NA
Application summary
Some physical systems are modeled by ordinary differential equations (ODE), while others must be described by differential algebraic equations (DAE). In general, DAE systems are the basic description of a number of practical processes while ODE systems are a simplification. Some DAE systems can be reduced to ODE systems. In most cases, such a simplification is not realizable. Therefore, the study of DAE systems is as significant as ODE systems. Almost all physical systems are nonlinear in nature and contain a certain amount of unknown parameters. Therefore, it is of both theoretical and practical importance to develop a nonlinear control theory for constructing controllers to achieve the control objectives and designing adaptive laws to estimate unknown parameters. Adaptive control has been drawing great attention from control experts since the 1970s. For linear systems, the adaptive control theory has been well established, while it is far from perfect for the nonlinear counterpart. All existing adaptive control design methods have their limitations. The first objective of this research program is to improve the existing adaptive controller design methods and search for a new design technique. The control theory of linear DAE systems has been well established. The literature on feedback control of nonlinear DAE systems is sparse. To the best of the applicant's knowledge, the adaptive control problems for DAE systems is still open. The second objective of this research program is to develop a design method for adaptive control of nonlinear DAE systems. It is obvious that there exists a big gap between the control theory and engineering fields. The third objective is to investigate the applications of nonlinear adaptive control to robots, motors, power electronics converters, and so on, to reduce the gap between the adaptive control theory and applications. The significance of this program lies in a possible breakthrough in the adaptive control theory for nonlinear DAE systems and applications of adaptive control theory.