Download or read book Performance of Model reference Adaptive Control Systems with Simultaneous Command and Disturbance Inputs written by Donald Leigh Hitzl and published by . This book was released on 1964 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Design approach Evaluation of Multiple input Model reference Adaptive Control Systems written by Paul Nelson Cowgill and published by . This book was released on 1968 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: The model-reference, adaptive control concept is based on the precept that desired control system performance is a known design requirement and can be obtained from a representative model. Control system parameters are adjusted by the adaptive controller through a minimizing operation on a function of the error (i.e., performance index) between control system and model response characteristics. By minimizing the performance index, the control system response characteristics will track those of the model. This thesis presents a unified review of model-reference, adaptive control system design and analysis techniques and a method for analytically determining adaptive control loop sensitivity to multiple forcing functions. The design and analysis techniques presented encompass design approach variations (i.e., configuration deviations) and solutions to commonly encountered application problems. The multiple forcing functions considered consist of reference and disturbance inputs. The forcing function sensitivity of two adaptive controller configurations is analytically derived and compared for single and simultaneous, sinusoidal inputs. Frequency-domain analysis techniques are thereby extended for application to these two particular configurations of nonlinear systems.
Download or read book Direct Adaptive Control Algorithms written by Howard Kaufman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suitable either as a reference for practising engineers or as a text for a graduate course in adaptive control systems, this is a self-contained compendium of readily implementable adaptive control algorithms. These algorithms have been developed and applied by the authors for over fifteen years to a wide variety of engineering problems including flexible structure control, blood pressure control, and robotics. As such, they are suitable for a wide variety of multiple input-output control systems with uncertainty and external disturbances. The text is intended to enable anyone with knowledge of basic linear multivariable systems to adapt the algorithms to problems in a wide variety of disciplines. Thus, in addition to developing the theoretical details of the algorithms presented, the text gives considerable emphasis to designing algorithms and to representative applications in flight control, flexible structure control, robotics, and drug-infusion control. This second edition makes good use of MATLAB programs for the illustrative examples; these programs are described in the text and can be obtained from the MathWorks file server.
Download or read book Adaptive Control Systems written by Chalam and published by Routledge. This book was released on 2017-10-19 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: impossible to access. It has been widely scattered in papers, reports, and proceedings ofsymposia, with different authors employing different symbols and terms. But now thereis a book that covers all aspects of this dynamic topic in a systematic manner.Featuring consistent terminology and compatible notation, and emphasizing unifiedstrategies, Adaptive Control Systems provides a comprehensive, integrated accountof basic concepts, analytical tools, algorithms, and a wide variety of application trendsand techniques.Adaptive Control Systems deals not only with the two principal approachesmodelreference adaptive control and self-tuning regulators-but also considers otheradaptive strategies involving variable structure systems, reduced order schemes, predictivecontrol, fuzzy logic, and more. In addition, it highlights a large number of practical applicationsin a range of fields from electrical to biomedical and aerospace engineering ...and includes coverage of industrial robots.The book identifies current trends in the development of adaptive control systems ...delineates areas for further research . : . and provides an invaluable bibliography of over1,200 references to the literature.The first authoritative reference in this important area of work, Adaptive ControlSystems is an essential information source for electrical and electronics, R&D,chemical, mechanical, aerospace, biomedical, metallurgical, marine, transportation, andpower plant engineers. It is also useful as a text in professional society seminars and inhousetraining programs for personnel involved with the control of complex systems, andfor graduate students engaged in the study of adaptive control systems.
Download or read book L1 Adaptive Control Theory written by Naira Hovakimyan and published by SIAM. This book was released on 2010-09-30 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains results not yet published in technical journals and conference proceedings.
Download or read book Model Reference Adaptive Control written by Nhan T. Nguyen and published by Springer. This book was released on 2018-03-01 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides readers with a good working knowledge of adaptive control theory through applications. It is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously. Readers are taught a wide variety of adaptive control techniques starting with simple methods and extending step-by-step to more complex ones. Stability proofs are provided for all adaptive control techniques without obfuscating reader understanding with excessive mathematics. The book begins with standard model-reference adaptive control (MRAC) for first-order, second-order, and multi-input, multi-output systems. Treatment of least-squares parameter estimation and its extension to MRAC follow, helping readers to gain a different perspective on MRAC. Function approximation with orthogonal polynomials and neural networks, and MRAC using neural networks are also covered. Robustness issues connected with MRAC are discussed, helping the student to appreciate potential pitfalls of the technique. This appreciation is encouraged by drawing parallels between various aspects of robustness and linear time-invariant systems wherever relevant. Following on from the robustness problems is material covering robust adaptive control including standard methods and detailed exposition of recent advances, in particular, the author’s work on optimal control modification. Interesting properties of the new method are illustrated in the design of adaptive systems to meet stability margins. This method has been successfully flight-tested on research aircraft, one of various flight-control applications detailed towards the end of the book along with a hybrid adaptive flight control architecture that combines direct MRAC with least-squares indirect adaptive control. In addition to the applications, understanding is encouraged by the use of end-of-chapter exercises and associated MATLAB® files. Readers will need no more than the standard mathematics for basic control theory such as differential equations and matrix algebra; the book covers the foundations of MRAC and the necessary mathematical preliminaries.
Download or read book Robust Adaptive Control written by Petros Ioannou and published by Courier Corporation. This book was released on 2013-09-26 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.
Download or read book Adaptive Control for Applications with Input Saturation Constraints Or Disturbances at Poorly Known Frequencies written by Tannen S. VanZwieten and published by ProQuest. This book was released on 2008 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research presented in this dissertation modifies an existing model reference adaptive control and direct adaptive disturbance rejection algorithm to better-accommodate real-life plants and disturbances. First, the theoretical result is extended to include input amplitude and rate saturation constraints while maintaining bounded output error and adaptive gains. The negative impact of enforcing control limitations is alleviated through an appropriate modification of the reference system command. Second, a heuristic approach is taken to improve the disturbance rejection effectiveness when the disturbance frequency is not well-known. Given the disturbance frequency (or waveform), the prior approach is able to mitigate persistent disturbances by adaptively compensating for unknown disturbance amplitude and phase. The framework is modified in this research to accommodate for disturbances occurring at coarsely-known frequencies, while continuing to compensate for its unknown amplitude and phase. This is done by including a phase locked loop to improve the frequency estimate on-line. As the frequency approximation improves, the controller is able to more effectively anticipate and reject persistent disturbances acting on the plant. The inclusion of both saturation constraints and on-line frequency estimation are illustrated using a detailed model and simulation of a powered ocean platform. The effectiveness of the adaptive output feedback control and disturbance rejection algorithm with realistic input amplitude and rate limitations is shown through its application to the spar platform for several challenging environmental and load disturbance scenarios. Furthermore, vortex shedding disturbances for near-constant relative water velocities across the spar occur at frequencies that cannot be precisely calculated. Inclusion of the phase locked loop is shown to improve the performance of the adaptive disturbance rejection algorithm through the use of both one and six degree-of-freedom simulations.
Download or read book Model Reference Adaptive Control written by Hans Butler and published by . This book was released on 1992 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work, aiming to bring adaptive control theory closer to practice, offers explanations rather than theory, and draws upon several laboratory experiments for emphasis. The first part of the book covers established subjects and the second covers solutions to some problems.
Download or read book Applications of Adaptive Control written by Kumpati S. Narendra and published by Elsevier. This book was released on 2012-12-02 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control Applications of Adaptive covers the proceedings of the 197 Workshop on Applications of Adaptive Control, held in Yale University. This book is organized into five parts encompassing 18 chapters that summarize the potential application of adaptive control to many practical problems. Part I contains tutorials that bring together important result s in two of the most studied approaches to adaptive control, namely, self-tuning regulators and model reference adaptive control (MRAC), with a particular emphasis on the importance of error models in the stability analysis of MRAC. Part II examines the algorithms used for adaptive signal processing, while Part III describes the types of power systems problems that could benefit from application of adaptive control and how to apply adaptive control algorithms for controlling large electric generators. Part IV highlights adaptive control in aircraft systems. This part also considers how adaptive control fell into disfavor in the flight control community, illustrating the existence of residual negative bias. The desirability of cost elimination of air data sensors in less-sophisticated flight control systems is also discussed. Part V addresses the application of process control to chemical processes and to electromechanical systems. This part also shows the robustness and superior tracking and regulation properties of model reference adaptive control applied to liquid level control. Discussion on various classes of model reference adaptive controllers in a common framework from the viewpoint of microcomputer implementation is also included. This book will be of value to control system theorists and practitioners.
Download or read book Adaptive Control Tutorial written by Petros Ioannou and published by SIAM. This book was released on 2006-01-01 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters.
Download or read book Report written by Massachusetts Institute of Technology. School of Engineering and published by . This book was released on 1963 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Effect of Output Disturbances on the Model Reference Adaptive Control System written by Robert William Schlundt and published by . This book was released on 1965 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Model Reference Adaptive Control for Multi input Multi output Systems written by Kenneth M. Sobel and published by . This book was released on 1980 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Control System written by Ronald C. Hennies and published by . This book was released on 1984 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Investigation of a Method of Adaptive Control written by Paul V. Osburn and published by . This book was released on 1961 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: The requirement for the research presented in this thesis is introduced by a brief survey of the development of design concepts and techniques for adaptive control. An analytical procedure is developed to provide a general synthesis method for design of the self-adjustment features of model reference adaptive control systems. Minimization of a mathematical index of performance leads to definition of adjustment signals which can be used to provide for oddfunction, nulling control of all the adjustable parameters of a multi-parameter model reference system. Mechanization of parameter control results in systems which are deliberately non-linear in order to provide optimum dynamic performance. Properties of the method are examined by application to a number of typical control situations. Simulation experiments demonstrate the ability of the technique to provide successful adaptation of systems to a wide range of variation in operating environment in response to deterministic and stochastic command and disturbance inputs. (Author).
Download or read book Concurrent Learning for Convergence in Adaptive Control Without Persistency of Excitation written by Girish Chowdhary and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Reference Adaptive Control (MRAC) is a widely studied adaptive control methodology that aims to ensure that a nonlinear plant with significant modeling uncertainty behaves like a chosen reference model. MRAC methods attempt to achieve this by representing the modeling uncertainty as a weighted combination of known nonlinear functions, and using a weight update law that ensures weights take on values such that the effect of the uncertainty is mitigated. If the adaptive weights do arrive at an ideal value that best represent the uncertainty, significant performance and robustness gains can be realized. However, most MRAC adaptive laws use only instantaneous data for adaptation and can only guarantee that the weights arrive at these ideal values if and only if the plant states are Persistently Exciting (PE). The condition on PE reference input is restrictive and often infeasible to implement or monitor online. Consequently, parameter convergence cannot be guaranteed in practice for many adaptive control applications. Hence it is often observed that traditional adaptive controllers do not exhibit long-term-learning and global uncertainty parametrization. That is, they exhibit little performance gain even when the system tracks a repeated command.
