Decentralized adaptive control design is developed for a class of large-scale interconnected nonlinear systems which do not satisfy the strict matching restriction. To this end, large-scale nonlinear systems transform...
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Decentralized adaptive control design is developed for a class of large-scale interconnected nonlinear systems which do not satisfy the strict matching restriction. To this end, large-scale nonlinear systems transformable to the decentralized strict feedback form are considered. The interconnections are assumed to be bounded by unknown polynomials in states. The controller maintains a global uniform boundedness of the model reference tracking error to a compact set which can be made arbitrarily small based on appropriate choice of control gains. In the regulation case, global asymptotic performance is achieved.
A new adaptive design procedure is presented which guarantees robustness to parametric and dynamic uncertainties for a class of nonlinear systems, and also rejects any bounded, unmeasurable disturbances entering the s...
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A new adaptive design procedure is presented which guarantees robustness to parametric and dynamic uncertainties for a class of nonlinear systems, and also rejects any bounded, unmeasurable disturbances entering the system. The uncertainties in the system are assumed to be unknown, except that they are bounded by an unknown pth order polynomial; in the arguments. For the state feedback case, we identify systems transformable to a special strict feedback form. For the case, where only the outputs are measured, the adaptive design procedure applies to systems transformable to the output feedback form, where the output dependent nonlinear terms are unknown. Results in both cases are presented for state-output tracking and regulation problems.
Presents a methodology which allows an autonomous agent i.e., a mobile robot, to learn and build maps of its operating environment by relying only on its range sensors. The maps, described with respect to the robot...
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Presents a methodology which allows an autonomous agent i.e., a mobile robot, to learn and build maps of its operating environment by relying only on its range sensors. The maps, described with respect to the robot's inertial frame, are developed in real time by correlating robot position and sensory data. This latter feature characterizes part of the uniqueness of the authors' approach. These maps are topologically isomorphic to the maps created for the same room(s) by humans. The methodology exploits the principle of self-organization, implemented as an artificial neural network module which processes incoming sensor range data. The generation of environmental maps can be visualized as an elastic string of neurons whereby every neuron represents a finite portion of the physical world. This elastic string stretches dynamically so as to take on the shape of the environment, a unique characteristic of the authors' methodology. In this respect, the neural net provides a discretized representation of the "continuous" physical environment as the latter is seen through the robot's own sensors. Experiments, focused on indoor applications, have successfully demonstrated the ability of a robot to build maps of geometrically complex environments. The results presented in this paper, compared with the authors' earlier efforts, show significant improvement in that every single sensor data point contributes equally to the location of the neurons of the spatial map at the end of the learning process. This is important because the authors wish to minimize the effect of the order in which data points are processed.
This paper considers an application of the decentralized adaptive output feedback scheme developed previously by the authors (1995) to maintain global robustness to parametric and dynamic uncertainties among interconn...
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This paper considers an application of the decentralized adaptive output feedback scheme developed previously by the authors (1995) to maintain global robustness to parametric and dynamic uncertainties among interconnections in large-scale power systems and also rejection of any bounded, unmeasurable disturbances entering the system. The proposed design utilizes only feedback from local rotor angle measurements. The scheme is applied to a two axis (fourth order) model of the generator with a second order turbine/governor model and an IEEE type I excitation control (fifth order) for each subsystem. The design presented is also applicable to higher order models of the generator and turbine/governor system. Furthermore, the design methodology proposed here obviates the need for controller redesign and therefore maintains robust connective stability if individual subsystems are appended or removed.
Passivity based controllers are used in structural control due to their inherent robustness properties. These controllers require sensor/actuator collocation. In this paper, we consider the design of a "squaring ...
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Passivity based controllers are used in structural control due to their inherent robustness properties. These controllers require sensor/actuator collocation. In this paper, we consider the design of a "squaring down" matrix which renders a system passive by using a linear combination of all collocated and non-collocated sensor/actuator pairs. The design uses experimental transfer functions and does not require the knowledge of the system model. The problem of finding the squaring down matrix is cast as a solution to a set of linear matrix inequalities (LMIs) subject to some additional performance considerations. The design procedure of the squaring down matrix assumes that velocity information is available from the sensors which is not generally the case. We show that the squaring down matrix can be implemented without the use of such velocity information. We provide experimental results gathered from the single link flexible beam setup in the C/sub La/MS laboratory at RPI to show that implementation of passive loops without velocity measurements provides very good results.
Smart materials such as piezoceramics and shape memory alloys (SMAs) exhibit significant hysteresis and in order to estimate the effect on open and closed loop control a suitable model is needed. One promising candida...
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Smart materials such as piezoceramics and shape memory alloys (SMAs) exhibit significant hysteresis and in order to estimate the effect on open and closed loop control a suitable model is needed. One promising candidate is the Preisach independent domain hysteresis model that is characterized by the congruent minor loop and wiping out properties. Comparable minor loop and decaying oscillation test data for a multi-sheet piezoceramic actuator (made of lead zirconate titanate) attached to a flexible beam are presented and are seen to be very consistent with the two Preisach model properties. The commanded parameter is the sheet transverse electric field while the measured parameter is an approximately colocated strain induced in the beam. Equivalent data for a Nitinol SMA wire muscle, attached to the same beam, are also presented. The input and output parameters are the SMA current and a beam strain respectfully. The minor loop and wiping out evidence is less strong than that of the piezoceramic case, but encouraging. In all experiments the quasi-steady state responses were generated in order to avoid exciting beam flexible modes which would complicate the analysis.
The teleprogramming system is a supervisory control approach to time delayed teleoperation that incorporates predictive graphics and reactive skills to accomplish dexterous manipulation tasks in the presence of signif...
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The teleprogramming system is a supervisory control approach to time delayed teleoperation that incorporates predictive graphics and reactive skills to accomplish dexterous manipulation tasks in the presence of significant time delay. This paper presents an experimental effort to validate the teleprogramming system using the GRASP laboratory of the University of Pennsylvania as the operator station and the TROPICS laboratory of the Jet Propulsion laboratory as the remote site. The teleprogramming experiment involved operator supervisory control of a robot performing puncture and slice operations on the thermal blanket securing tape of a satellite repair mission sub-task This experiment was successfully performed in August, 1994 using the Internet as the sole medium of communication. During experimentation, messages experienced time-varying time delay between three and fifteen seconds with an average delay of approximately six seconds.
The paper deals with the overall problem of process operations of large industrial processes and aims to idenify a number of important Systems and control Theory type issues which are of generic character and they are...
The paper deals with the overall problem of process operations of large industrial processes and aims to idenify a number of important Systems and control Theory type issues which are of generic character and they are also relevant to both continuous and discrete type processes. It is argued that modelling is central to the overall exercise of understanding global process operations and that some new form of systems theory is needed to transcent the boundaries of a given type model family. The development of the systems approach for understanding the issues of global operations is shown to be based on four general clusters of system type problems. These are the Model Embedding Problem (MEP), the Model Interface Problem (MIP), the Variable Complexity Modelling Problem (VCMP) and the Model Composition Problem (MCP) families. The role of such problems for global process operations is discussed and their main features are established
Computer animation on personal computers (PC) is becoming increasingly popular as an educational teaching aid. With the increasing CPU power and high-resolution graphics of PC, and the rapid evolution of animation sof...
Computer animation on personal computers (PC) is becoming increasingly popular as an educational teaching aid. With the increasing CPU power and high-resolution graphics of PC, and the rapid evolution of animation softwares, engineering courses can be developed on the PC using computer animation. Many engineering systems and processes in the engineering courses can be animated to enhance learning by university undergraduates. These animation projects could be developed into engineering courseware on certain subjects or topics for effective teaching in classrooms, at home, or as computer-aided laboratory lessons. Several types of animation software are introduced in this article.
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