Input/output selection for planar tensegrity models

A systematic method of selecting sensors and actuators is produced, efficiently selecting inputs and outputs that guarantee a desired level of performance in the ∞-norm sense. The method employs an efficiently computable necessary and sufficient existence condition, using an effective search strategy. The search strategy is based on a method to generate all so-called minimal dependent sets. This method is applied to tensegrity structures. Tensegrity structures are a prime example for application of techniques that address structural problems, because they offer a lot of flexibility in choosing actuators/sensors and in choosing their mechanical structure. The selection method is demonstrated with results for a 3 stage planar tensegrity structure where all 26 tendons can be used as control device, be it actuator, sensor, or both, making up 52 devices from which to choose. In our set-up it is easy to require devices to be selected as colocated pairs, and to analyze the performance penalty associated with this restriction. Two performance criteria were explored, one is related to the dynamical stiffness of the structure, the other to vibration isolation. The optimal combinations of sensors and actuators depend on the design specifications and are really different for both performance criteria

Integrated control/structure design for planar tensegrity models

A tensegrity structure is built using compressive members (bars) and tensile members (tendons). We discuss how an optimal and integrated design of tendon length control and topology/geometry of the structure can improve the stiffness and stiffness-to-mass properties of tensegrity systems. To illustrate our approach we apply it on a tensegrity system build up from several elementary stages that form a planar beam structure. The computations are done with a nonlinear programming approach and most design aspects (decentralized co-located control, static equilibrium, yield and buckling limits, force directionality, etc., both for the unloaded and loaded cases) are incorporated. Due to the way the control coefficients are constrained, this approach also delivers information for a proper choice of actuator or sensor locations: there is no need to control or sense the lengths of all tendons. From this work it becomes clear that certain actuator/sensor locations and certain topologies are clearly advantageous. For the minimal compliance objective in a planar tensegrity beam structure, proper tendons for control are those that are perpendicular to the disturbance force direction, close to the support, and relatively long, while good topologies are the ones that combine different nodal configurations in a tensegrity topology that is akin to a framed beam, but, when control is used, can be quite different from a classical truss structure

Estructura robótica Pre-Tensada para robot en tuberías petroleras

En este trabajo se presenta el desarrollo de un robot basado en la estructura Pre-Tensada con el fin de realizar tareas de inspección y mantenimiento en tuberías petroleras. Este tipo de estructura mecánica se caracteriza por su bajo peso y su alta capacidad de adaptación a los diferentes diámetros. La aplicación requiere que el dispositivo desarrollado se desplace verticalmente y a alta velocidad por las tuberías utilizadas en la extracción del petróleo. Cabe destacar que en dichas instalaciones se cuenta con Bombas Electro Sumergibles (BES) y Bombas de Cavidad Progresiva (BCP), ambas muy sensibles a las condiciones adversas del entorno; por lo tanto, la importancia de esta investigación radica en que el robot incorpora una red de sensores específicos para medir aquellas variables que puedan interferir en el funcionamiento normal de las bombas. Además, este robot permite automatizar la recuperación de objetos que pueden caer al pozo durante la instalación y mantenimiento del mismo, actualmente este proceso es manual. En este artículo se describen detalladamente las hipótesis de diseño realizadas y la metodología utilizada para el desarrollo del primer prototipo. Finalmente se presentan los resultados obtenidos de dicho desarrollo a través de los cuales se ha podido validar la potencialidad de la aplicación

Dynamic behavior and vibration control of a tensegrity structure

Tensegrities are lightweight space reticulated structures composed of cables and struts. Stability is provided by the self-stress state between tensioned and compressed elements. Tensegrity systems have in general low structural damping, leading to challenges with respect to dynamic loading. This paper describes dynamic behavior and vibration control of a full-scale active tensegrity structure. Laboratory testing and numerical simulations confirmed that control of the self-stress influences the dynamic behavior. A multi-objective vibration control strategy is proposed. Vibration control is carried out by modifying the self-stress level of the structure through small movement of active struts in order to shift the natural frequencies away from excitation. The PGSL stochastic search algorithm successfully identifies good control commands enabling reduction of structural response to acceptable levels at minimum control cost. (C) 2010 Elsevier Ltd. All rights reserved

Analysis of clustered tensegrity structures using a modified dynamic relaxation algorithm

Tensegrities are spatial, reticulated and lightweight structures that are increasingly investigated as structural solutions for active and deployable structures. Tensegrity systems are composed only of axially loaded elements and this provides opportunities for actuation and deployment through changing element lengths. In cable-based actuation strategies, the deficiency of having to control too many cable elements can be overcome by connecting several cables. However, clustering active cables significantly changes the mechanics of classical tensegrity structures. Challenges emerge for structural analysis, control and actuation. In this paper, a modified dynamic relaxation (DR) algorithm is presented for static analysis and form-finding. The method is extended to accommodate clustered tensegrity structures. The applicability of the modified DR to this type of structure is demonstrated. Furthermore, the performance of the proposed method is compared with that of a transient stiffness method. Results obtained from two numerical examples show that the values predicted by the DR method are in a good agreement with those generated by the transient stiffness method. Finally it is shown that the DR method scales up to larger structures more efficiently. (C) 2010 Elsevier Ltd. All rights reserved