This paper will review the successful master controller revamp of Sappi Fine Paper North America's #3 Paper Machine at its Skowhegan, Maine mill. The rebuild project included upgrading the press section and increa...
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This paper introduces the concept of proactive execution of robot tasks in the context of human-robot cooperation with uncertain knowledge of the human's intentions. We present a system architecture that defines t...
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This paper introduces the concept of proactive execution of robot tasks in the context of human-robot cooperation with uncertain knowledge of the human's intentions. We present a system architecture that defines the necessary modules of the robot and their interactions with each other. The two key modules are the intention recognition that determines the human user's intentions and the planner that executes the appropriate tasks based on those intentions. We show how planning conflicts due to the uncertainty of the intention information are resolved by proactive execution of the corresponding task that optimally reduces the system's uncertainly. Finally, we present an algorithm for selecting this task and suggest a benchmark scenario.
A new approach based on a genealogical decision tree is suggested for solving an open-loop tracking problem. The algorithm associates Gaussian distributions to both the norms of the control actions and the tracking er...
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A new approach based on a genealogical decision tree is suggested for solving an open-loop tracking problem. The algorithm associates Gaussian distributions to both the norms of the control actions and the tracking errors. It solves the optimization problem sequentially, using random resampling from a population of solutions. This stochastic search model can be interpreted as a simple genetic particle evolution model with a natural birth and death interpretation. It converges in probability. Two numerical examples, dealing with rapid thermal processing and robotics, illustrate the feasibility and the performance of this control algorithm.
Manipulating in the micro- or even nano world still poses a great challenge to robotics. Conventional (stationary) systems suffer from drawbacks regarding integration into process supervision and multi-robot approache...
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Manipulating in the micro- or even nano world still poses a great challenge to robotics. Conventional (stationary) systems suffer from drawbacks regarding integration into process supervision and multi-robot approaches, which become highly relevant to fight scaling effects. This paper describes work currently being carried out which aims to make automated manipulation of micrometer-scaled objects possible by robots with nanometer precision. The goal is to establish a small cluster of (up to five) micro robots equipped with on-board electronics, sensors and wireless power supply. Power autonomy has been reached using inductive energy transmission from an external wireless power supply system or a battery based system. Electronics requirements are fulfilled in the electronic module with the full custom integrated circuit design for the robot locomotion control and the closed loop force control for AFM tool in cell manipulation applications. The maximum velocity obtained is about 0.4 mm/s with a saw tooth voltage signals of 20Vpp and 2500 Hz. In order to keep a AFM tool on micro-robot a specific tip with integrated piezoresistance, instead of the classical laser beam methodology, is validated for force measurement.
In this paper we are interested in the approximation of continuous surface texture profiles defined only at discretely obtained points. A continuous representation is required in order to be able to apply filtration m...
In this paper we are interested in the approximation of continuous surface texture profiles defined only at discretely obtained points. A continuous representation is required in order to be able to apply filtration methods that assume uniform data spacing to practical data that in general is not uniformly spaced. By reconstructing surface profiles as natural cubic spline interpolants accurately using numerically stable fitting algorithms, we can provide a mathematically sound basis on which to compute surface texture profile parameters. As an important direct benefit, parameters involving the integrals of surface profiles can be calculated directly from the spline interpolant. Examples are given to illustrate the advantages of using this reconstruction method.
For stochastic disturbance, such as stochastic demands and breakdown of the system, the production systems is presented as a piecewise deterministic process model. At any given time only one type of product can be pro...
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This paper proposes a new estimator for evolutionary spectrum (ES) based on short time Fourier transform (STFT) and modified group delay function (GDFM). The STFT due to its built-in averaging suppresses the crossterm...
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For stochastic disturbance, such as stochastic demands and breakdown of the system, the production systems is presented as a piecewise deterministic process model. At any given time only one type of product can be pro...
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For stochastic disturbance, such as stochastic demands and breakdown of the system, the production systems is presented as a piecewise deterministic process model. At any given time only one type of product can be produced by the system. A setup (with setup time and cost) is required if production is to be switched from one type of product to another. Preventive maintenance activity is performed for reducing the aging of the system, and the jump rates of the system state depend on the aging of the system. The objective of the problem is to minimize the costs of setup, production, maintenance and the quadratic costs of inventory. The decision variables are a sequence of setups and the production and preventive maintenance plan. According to two time horizons, the original problem is decomposed into two sub-problems. The asymptotic optimality solution of the original problem is constructed via receding optimize the sub-problems. Simulation results show the feasibility of the proposed approach in practice.
A hybrid stochastic production system involving fast model and slow model is formulated with multi-time scales. One time scale is 1, the processing time scale, which is frequency and represents fast model. The other t...
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ISBN:
(纸本)0780382730
A hybrid stochastic production system involving fast model and slow model is formulated with multi-time scales. One time scale is 1, the processing time scale, which is frequency and represents fast model. The other time scale is Ε-1, system failure time scale, which is infrequency and indicates slow model of the system. On different time scale, the original system is decomposed into two subsystems. Based on the two subsystems, the optimal control policy of the system is gotten by using approximation numerical technique. Simulation illustrates and confirms the method.
In this paper the detailed procedure of model development for a laboratory scale rolling mill (the Hille mill) is given. The main framework of the roll speed and gap model is based on the classic Newton motion equatio...
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In this paper the detailed procedure of model development for a laboratory scale rolling mill (the Hille mill) is given. The main framework of the roll speed and gap model is based on the classic Newton motion equation, with the critical model parameters, such as the inertia of the different rotational parts, the frictions, the stiffness, etc. to be determined by different approaches ranging from analytical to experimental approaches as well as know-how. The developed models have been incorporated into a mill simulation package, and computer simulation results show a good agreement with the actual rolling process. The final goal of the models will be two-fold: to generate a decision support for the upgrading and modernisation of the Hille mill, and to develop advanced model-based rolling control strategies.
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