1,721,073 research outputs found

    Discussion on: "State feedback fuzzy adaptive control for active shimmy damping"

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    The paper by Pouly et al. addresses modeling and control design for a classical physical system, an elastic rotating wheel with a vertical steering axis, which can be found in many vehicles characterized by critical safety issues, aircrafts and motorcycles above all. the aim of this discussion paper is to highlight the key points, in the paper by Pouly et al., that could be of interest for further investigation by the same authors and by other research groups working on similar topics. The rest of the paper presents the points of discussion following the sequential order in which fundamental steps of any control project are typically addressed: modeling, control design, realisation

    Formal Methods for Manufacturing Systems Control Design

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    The aim of this thesis is to propose a formal methodology for the design and verification of industrial control systems, with particular regard to the domain of manufacturing machines. The methodology is driven by an approach derived from Software Engineering concepts and is supported by the definition of a set of specification languages, derived from the semi-formal notation of UML [UML01], that permit to describe all the aspects related to the design of a complete machine control system, both architectural and behavioral. In particular, the underlying approach of the development process is oriented to the modularization and encapsulation of control tasks, in order to obtain a system architecture composed of independent and reusable components, as is suggested by Object-Oriented design techniques. Because of the hybrid nature of Manufacturing Systems, the control system may be partitioned into logic control modules and continuous control modules. Ideally, the architecture specification language proposed in this thesis would permit to describe both kind of components, together with their interactions. However, since the proposed methodology is mainly oriented to the solution of logic control problems, which are those less supported by formal methods in the industrial practice, the behaviour specification language adopted, derived from Statecharts [Har87], is basically event-oriented, with extensions that permit the description of simple data-processing operations. With regard to behavioral design, the suggested approach is that of direct design, which means that operational specifications on the desired behaviour of the manufacturing machine (or its components) are explicitly mapped into an operational model for each control module defined in the architecture specification. Formal verification of the control system design model can be performed, by means of a translation into a formal language. In particular, the technique suggested is model checking, in order to prove desired properties expressed in a form of temporal logic. For example, a model checking tool that can serve the purpose is SMV [McM93], which uses the temporal logic dialect CTL [CA81]. The rest of the thesis is organized as follows: - Chapter 2 presents a review of the most important formalisms and techniques to model and control Discrete Event Systems, with particular regard to their applicability in the manufacturing industry. - Chapter 3 describes a number of Software Engineering techniques that have been successfully applied to the domain of Real-Time software design, even if they are principally supported by semiformal languages. In particular, the techniques adopting Statecharts for behavioral specification are described in depth and with emphasis on the different semantical interpretations. - Chapter 4 describes the design methodology for industrial control systems proposed by this thesis, including the underlying approach, the specification languages adopted and the relationships with the features of the application domain. - Chapter 5 presents the definition of formal procedures to verify the correctness of industrial control systems, designed and modeled with the methods proposed in Chapter 4, and briefly describes how the design models can be implemented on real controllers. - Chapter 6 summarizes the features of the proposed approach to Manufacturing Systems control design, that aim to introduce the use of formal methods in the industrial practice, and ends with proposals for future work. - The thesis ends with an illustrative example of control system design and verification, described in Appendix A, referred to a machine component quite common in the packaging industry

    Mechatronic objects encapsulation in IEC 1131-3 norm

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    This paper concerns with the definition and use of 'mechatronic objects' for the design of complex manufacturing system as large machinery. In particular the programming languages and structures defined under the IEC 1131-3 norm are considered regarding the software encapsulation of the mechanical system. The paper reports about a real application example of the proposed concepts showing effectiveness of the object-oriented framework for industrial applications

    Discussion on "A comparison of sliding mode and unknown input observers for fault reconstruction" by Christopher Edwards and Chee Pin Tan

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    The paper by Christopher Edwards and Chee Pin Tan represents an interesting contribution to the important area of the fault diagnosis of dynamic systems. The work under discussion compares a diagnosis method based on sliding mode observers for fault reconstruction [1] with the linear technique relying on unknown input observers (UIOs) [2].Bot h the schemes described in the mentioned references exploit their robustness properties to overcome uncertainty acting on the system under diagnosis.In particular, Tan and Edwards in Ref.[1] suggested an observer design method, based on the solution of a linear matrix inequality (LMI), which seeks to minimize the L2 gain between the uncertainty and the fault reconstruction signal.In terms of the UIO literature, the work of Saif and Guan has been chosen because the problem it tackles is the closest to the one associated with the sliding mode scheme and because the assumptions in Ref.[2] are similar to those from Ref.[1].On the basis of this hypothesis and using also the results achieved from other related works by the same authors, the links between the two approaches are recalled and investigated, even if the details of the methods are quite different.These methods are finally compared by exploiting a nonlinear dynamic model of a crane system affected by simulated faults

    Data Driven Approach for Wind Turbine Actuator and Sensor Fault Detection and Isolation

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    In order to improve reliability of wind turbines, it is important to detect and isolate faults as fast as possible, and handle them in an optimal way. An important component in modern wind turbines is the converter, which for a wind turbine control point of view normally provides the torque acting on the wind turbine generator, as well as measurement of this torque. In this work, a diagnosis strategy based on fuzzy prototypes is presented, in order to detect these faults in the converter, and isolate them either to be an actuator or a sensor fault. The fuzzy system is used since the model under investigation is nonlinear, whilst the wind speed measurement is highly noisy, due to the turbulence around the rotor plane. The fuzzy system consists of a set of piecewise affine Takagi Sugeno models, which are identified from the noisy measurements acquired from the simulated wind turbine. The fault detection and isolation strategy is thus designed based on these fuzzy models. The wind turbine simulator is finally used to validate the achieved performances of the suggested fault detection and isolation scheme

    A non linear fuzzy PID controller for robotic visual-servoing

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    This paper presents a very simple fuzzy pid non linear algorithm used to control a Puma 260 robot arm. On the end effector of the robot is mounted a CCD b/w camera, and by means of this camera the system performs the tracking of an object moving on a plane parallel to the CCD. The paper presents the results of practical experiments and the comparison between the fuzzy algorithm and a previous non linear PID algorithm

    Formal Verification of Hybrid Models for Physical Systems

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    Industrial automation is an application field in which logic controllers play a dominant role. These controllers typically interact with an heterogeneous physical system, composed by mechanical parts, electrical drives, chemical processes and so on, which means that the overall system's behavior should be represented and analyzed with tools derived from hybrid systems theory. This paper proposes a modeling approach that aims to provide a unified framework, based on the cardinal principles of object orientation, for the specification and verification of logic controllers for multi-domain physical systems. The proposed modeling methodology allows to describe both control software and physical components using the same basic concepts and the same modeling notation, based on the UML language. Moreover, the paper describes how to analyze the behavior of the closed-loop system with formal verification techniques for hybrid systems, in order to prove the correctness of the designed logic controller

    Online Smooth Trajectory Planning for Mobile Robots by Means of Nonlinear Filters

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    The paper presents a nonlinear filtering technique that can be adopted to generate smooth trajectories for mobile robotic applications. The proposed trajectory planner can be fully executed online by the robot control system, thanks to its inherently discrete-time behavior and to its limited computational requirement. The outputs of the nonlinear filter used as a trajectory planner include the derivatives of the desired position in the cartesian plane up to the third order. This allows the implementation of feedback linearization control schemes that can transform the dynamics of a mobile robot in a double chain of three integrators, exploiting the highest derivative of the filter’s output as a feedforward action. Finally, the paper reports experimental results obtained by the full implementation of the proposed trajectory planning and control scheme on a real unicycle-like robot

    Unified modeling of control software and physical plants

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    The aim of this paper is to provide a unified language for modeling both control software and physical plants in real time control systems. This is done by embedding the bond graph modeling language for physical systems into the UMLRT framework, widely used to model distributed real-time software

    Motorised Digital Level: development and applications

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    A low-cost motorisation of the Leica DNA03 digital level was designed to enable the automatic monitoring of deformations without compromising its manual use in levelling. The upgrade of the instrument and its electronic control system are described together with laboratory tests carried out to study the effects of ambient temperature on the level. A simple model for the correction of measurements as a function of the temperature is proposed. The detection of vertical movements with sub-millimetre accuracy was obtained in a simulated permanent monitoring system. The operational advantages of the instrument are shown in a field test. Despite the encouraging results, research is still needed to find a reliable model for the correction of the staff readings under changing temperature conditions
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