LMI-based design of robust gain-scheduling control for precise slow motion in a servodrive

Non peer reviewe

Control of a DC motor using algebraic derivative estimation with real time experiments

This paper presents an experimental control scheme for DC motors which combines an overlapping implementation of the algebraic derivative estimation method and a disturbance estimator based on the aforementioned algebraic derivative method. The methodology only requires the measurement of the angular position of the motor and the voltage input to the motor. The main advantages of the proposed approach are: it is independent of the motor’s initial conditions, the methodology is robust to Coulomb friction effects, it does not require any statistical knowledge of the noises that corrupt the data, the derivative estimation process does not require initial conditions or dependence between the system input and output, and the algorithm is computed on-line and in real time. The effectiveness of the proposed controller has been verified by means of computer simulations and it has also been experimentally implemented on a laboratory prototype with excellent results in both, stabilization and trajectory tracking tasks

Control of limit cycling in frictional mechanical systems

+116hlm.;24c

Robot Control for Remote Ophthalmology and Pediatric Physical Rehabilitation

The development of a robotic slit-lamp for remote ophthalmology is the primary purpose of this work. In addition to novel mechanical designs and implementation, it was also a goal to develop a control system that was flexible enough to be adapted with minimal user adjustment to various styles and configurations of slit-lamps. The system was developed with intentions of commercialization, so common hardware was used for all components to minimize the costs. In order to improve performance using this low-cost hardware, investigations were made to attempt to achieve better performance by applying control theory algorithms in the system software. Ultimately, the controller was to be flexible enough to be applied to other areas of human-robot interaction including pediatric rehabilitation via the use of humanoid robotic aids. This application especially requires a robust controller to facilitate safe interaction. Though all of the prototypes were successfully developed and made to work sufficiently with the control hardware, the application of advanced control did not yield notable gains as was hoped. Further investigations were made attempting to alter the performance of the control system, but the components selected did not have the physical capabilities for improved response above the original software implemented. Despite this disappointment, numerous novel advances were made in the area of teleoperated ophthalmic technology and pediatric physical rehabilitation tools. This includes a system that is used to remote control a slit-lamp and lens for examinations and some laser procedures. Secondly, a series of of humanoid systems suitable for both medical research and therapeutic modeling were developed. This included a robotic face used as an interactive system for ophthalmic testing and training. It can also be used as one component in an interactive humanoid robotic system that includes hands and arms to allow use of teaching sign language, social skills or modeling occupational therapy tasks. Finally, a humanoid system is presented that can serve as a customized surrogate between a therapist and client to model physical therapy tasks in a realistic manner. These systems are all functional, safe and low-cost to allow for feasible implementation with patients in the near future

Recent Advances in Robust Control

Robust control has been a topic of active research in the last three decades culminating in H_2/H_\infty and \mu design methods followed by research on parametric robustness, initially motivated by Kharitonov's theorem, the extension to non-linear time delay systems, and other more recent methods. The two volumes of Recent Advances in Robust Control give a selective overview of recent theoretical developments and present selected application examples. The volumes comprise 39 contributions covering various theoretical aspects as well as different application areas. The first volume covers selected problems in the theory of robust control and its application to robotic and electromechanical systems. The second volume is dedicated to special topics in robust control and problem specific solutions. Recent Advances in Robust Control will be a valuable reference for those interested in the recent theoretical advances and for researchers working in the broad field of robotics and mechatronics

Commande des systèmes sous frottement utilisant le formalisme LMI : application aux systèmes robotiques avec contact et aux actionneurs pneumatiques

Le frottement présente systématiquement un risque accablant dans l'altération des performances de mouvement des systèmes mécaniques. La mise-en-place d'un système de contrôle efficace pour dissiper ce genre d'anomalie constitue encore un sujet d'actualité dans les domaines de la recherche et de l'ingénierie. Les mécaniciens, les tribologues, spécialistes de la théorie de frottement, et les automaticiens oeuvrent pour l'étude de ce phénomène des points de vue: caractérisation, modélisation et compensation. Une revue assez exhaustive de ces travaux est présentée dans le chapitre 1. Dans le présent travail de thèse, nous proposons un schéma général de contrôle des systèmes sous frottement que nous pouvons utiliser dans plusieurs applications. En respectant les paradigmes standards de stabilité, de robustesse et d'optimisation (de types H2, H∞ , etc.), ce shéma est basé sur l'estimation en boucle fermée du frottement dynamique, selon le modèle de LuGre, et la structure dynamique de contrôle linéaire par retour de sortie. La synthèse de cette commande repose sur les outils numériques des inégalités matricielles linéaires. En plus, pour tenir compte de la variété des structures dynamiques de mouvement et aussi de force dans les différents dispositifs en question, le schéma de la commande que nous proposons peut comprendre des termes d'actions statiques (ou) dynamiques, linéaires (ou) non linéaires et éventuellement robustes. Une illustration simple de la commande de mouvement d'une masse, sur une surface sous frottement, est exposée dans le chapitre 2. Il s'agit d'une généralisation du principe de commande stabilisante par rétroaction statique introduit par Canudas et al.(1995). Ensuite, nous appliquons notre schéma dans des cas plus complexes (non linéarités, incertitudes et couplages de force/position non négligeables). Pour ce faire, nous proposons dans le chapitre 3 l'étude de la commande hybride de position/force du robot manipulateur dont l'élément final est en contact sous frottement avec une surface donnée. Dans le chapitre 4, nous développons le schéma de contrôle de force (i.e. de pression) de l'actionneur pneumatique. Et dans le chapitre 5, nous présentons le schéma détaillé de contrôle de position de ce type d'installation qui renferme plusieurs points de contact avec frottement. Des résultats expérimentaux sont présentés pour valider notre approche de commande et aussi la comparer à d'autres schémas de commande et/ou de compensation de frottement. Pour conclure ce travail, nous recommandons, en particulier, l'extension de l'approche proposée en utilisant un modèle de frottement encore plus générale comme celui de glissement généralisé de Maxwell (GMS) dans une suite logique et aussi ambitieuse de ce travail

Advances in PID Control

Since the foundation and up to the current state-of-the-art in control engineering, the problems of PID control steadily attract great attention of numerous researchers and remain inexhaustible source of new ideas for process of control system design and industrial applications. PID control effectiveness is usually caused by the nature of dynamical processes, conditioned that the majority of the industrial dynamical processes are well described by simple dynamic model of the first or second order. The efficacy of PID controllers vastly falls in case of complicated dynamics, nonlinearities, and varying parameters of the plant. This gives a pulse to further researches in the field of PID control. Consequently, the problems of advanced PID control system design methodologies, rules of adaptive PID control, self-tuning procedures, and particularly robustness and transient performance for nonlinear systems, still remain as the areas of the lively interests for many scientists and researchers at the present time. The recent research results presented in this book provide new ideas for improved performance of PID control applications