3 edition of Modelling and control of adaptive mechanical structures found in the catalog.
Modelling and control of adaptive mechanical structures
|Statement||Ulrich Gabbert, editor.|
|Contributions||Gabbert, Ulrich., Society of Automotive Engineers., Euromech Colloquium (373rd : 1998 : Magdeburg, Germany)|
|LC Classifications||TA654.9 .M63 1999|
|The Physical Object|
|Pagination||ix, 458 p. :|
|Number of Pages||458|
|LC Control Number||99062114|
Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the Reviews: 1. The milk pasteurization process is nonlinear in nature, and for this reason, the application of linear control algorithms does not guarantee the obtainment of the required performance in every condition. The problem is here addressed by proposing an adaptive algorithm, which was obtained by starting from an observer-based control approach. The main result is the obtainment of a simple PI-like.
(). Structure of model reference adaptive control systems. International Journal of Control: Vol. 34, No. 5, pp. Adaptive structures have the ability to adapt, evolve or change their properties or behaviour in response to the environment around them. The analysis and design of adaptive structures requires a highly multi-disciplinary approach which includes elements of structures, materials, dynamics, control, design and inspiration taken from biological systems. Development of adaptive structures has.
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Papers presented at the EUROMECH Colloquium on "Modelling and Control of Adaptive Mechanical Structures" held in Magdeburg, March 11thth, Description: ix, pages: illustrations ; 28 cm: Responsibility: Ulrich Gabbert, editor. The book contains essential models of adaptive structures and components to facilitate design approaches.
The accompanying disk features script files, operating under MATLAB, which can be used to generate most of the results presented throughout the book and are invaluable to readers developing their own structural by: Control theory deals with the control of continuously operating dynamical systems in engineered processes and machines.
The objective is to develop a control model for controlling such systems using a control action in an optimum manner without delay or overshoot and ensuring control l theory may be considered a branch of control engineering, computer engineering, mathematics.
M'Saad M., Duque M., Hammad S. () Flexible mechanical structures adaptive control. In: Shah S.L., Dumont G. (eds) Adaptive Control Strategies for Industrial Use. Lecture Notes in Control and Information Sciences, vol Cited by: 6.
Deterministic adaptive systems including adaptive observers and model-reference adaptive control systems are usually design on the basis of stability theory. For this purpose the Lyapunov function method or Popov's hyperstability theory can be used to define the parameter adaptation laws (Landau, ; Narandra, ).
Adaptive structures have the ability to adapt, evolve or change their properties or behaviour in response to the environment around them. The analysis and design of adaptive structures requires a highly multi-disciplinary approach which includes elements of structures, materials, dynamics, control, design and inspiration taken from biological.
Adaptive dynamics, Control modeling The adaptation of engineered structures and systems to suit the working environment has historical precedents dating to da Vinci's sketches of regulating pumps and balancing devices . Model reference adaptive control (MRAC) has been receiving increasing attention during the last few years as a valuable method for dynamic control of mechanical manipulators.
One of the major reasons for adaptive control lies in the dynamics of mechanical manipulators, which are highly nonlinear and characterized by time varying/unknown parameters. Albrecht, W. Zhang, B. Michaelis, 3D Shape Measurement of Smart Mechaniocal Systems, Proc.
of the EUROMECH Colloquium on Modelling and Control of Adaptive Mechanical Structures, MarchMagdeburg Google Scholar. This paper implements and evaluates the adaptive control algorithm recently proposed by Horowitz and Tomizuka.
A dynamic model of the Rhino XR-2 manipulator arm is developed using bond graph techniques. The manipulator and the control algorithm are. Recently developed adaptive methods for modeling, identification, and control are now being successfully used in various branches of science and engineering.
These methods present significant advantages over the classical methods, e.g., they can remove the noise from the signal over the whole frequency band, they can track time‐varying. Model Reference Adaptive Control of a Flexible Structure Article (PDF Available) in Journal of Mechanical Science and Technology 15(10) October with 77.
Adaptive control is the control method used by a controller which must adapt to a controlled system with parameters which vary, or are initially uncertain. For example, as an aircraft flies, its mass will slowly decrease as a result of fuel consumption; a control law is needed that adapts itself to.
This is the second paper out of a series of papers devoted to model- and hpq-adaptive finite element methods assigned for the modeling and analysis of elastic structures of complex mechanical. Techniques for Adaptive Control compiles chapters from a team of expert contributors that allow readers to gain a perspective into a number of different approaches to adaptive control.
In order to do this, each contributor provides an overview of a particular product, how it works, and reasons why a user would want it as well as an in depth. TY - CONF AU - Qing Mei Meng AU - Hui Ping Sheng AU - Ruo Bin Zhong AU - Shi Yue Pan PY - /09 DA - /09 TI - Structure-Control Design of a Parallel Robot Based on Multi-Objective Self-Adaptive Differential Evolution Algorithm BT - 2nd International Conference on Electronic & Mechanical Engineering and Information Technology PB - Atlantis Press SP - EP - SN - UR.
Contents Preface xiii Authors xvii Symbols xix Acronyms xxiii 1 Introduction 1 Model-BasedControl 1 ModelingandIdentification 1 Model-BasedControllerDesign 3 Data-Driven Control 5 DefinitionandMotivationofData-Driven Control 6 ObjectofData-Driven ControlMethods 7 NecessityofData-Driven ControlTheory andMethods 8 BriefSurvey on Data-DrivenControl.
Statically determinate adaptive structures. Statically indeterminate adaptive structures. Active vibration control for autonomous and non-autonomous cases. Active control against wind. Active control against seismic loads. Distributed parameter adaptive structures.
The technology of adaptive structures has created an environment where the. • Model Reference Adaptive Control – Basic concepts –1st order systems – If the total energy of a mechanical (or electrical) system is continuously dissipated, then the system, whether linear or nonlinear, must eventually settle down to an equilibrium point.
ular system—for example, Newton’s laws for mechanical systems and Kirchhoff’s laws for electrical systems. We must always keep in mind that deriving reasonable mathe-matical models is the most important part of the entire analysis of control systems. Throughout this book we assume that the principle of causality applies to the systems.
the selection of physical variables consistent with a power ﬂow and energy-based approach to modeling basic mechanical translational and rotational systems. In doing so, a bond graph approach [28,3,17] is introduced for developing models of mechanical systems.
This provides a basis for introducing the © CRC Press LLC.Book Abstract: A systematic and unified presentation of the fundamentals of adaptive control theory in both continuous time and discrete time Today, adaptive control theory has grown to be a rigorous and mature discipline.
As the advantages of adaptive systems for developing advanced applications grow apparent, adaptive control is becoming more popular in many fields of engineering and science.When tracking the trajectory of the mechanical arm in a joint space, the system is affected by friction non-linearity, unknown dynamic parameters and external disturbances that makes it difficult to improve the control accuracy of the mechanical arm.
To solve the above problems, this paper introduces LuGre friction model and designs a new joint space trajectory tracking controller based on the.