Simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides inf...
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Simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides information for its controller to account for (expected) stochasticity present in the manufacturing processes. In turn, the controller can provide (near) optimal decisions for the operation of the processes and thus handle uncertainty in customer demands. In this paper, we describe an environment that synthesizes discrete-event system specification (DEVS) with model predictive control (MPC) paradigms using a knowledge interchange broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.
In this paper, a method for the parallel operation of inverters in an ac-distributed system is proposed. The paper explores the control of active and reactive power flow through the analysis of the output impedance of...
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In this paper, a method for the parallel operation of inverters in an ac-distributed system is proposed. The paper explores the control of active and reactive power flow through the analysis of the output impedance of the inverters and its impact on the power sharing. As a result, adaptive virtual output impedance is proposed in order to achieve a proper reactive power sharing regardless of the line impedance unbalances. A soft-start operation is also included, avoiding the initial current peak, which results in a seamless hot-swap operation. Active power sharing is achieved by adjusting the frequency in load transient situations only, thanks to which the proposed method obtains constant steady-state frequency and amplitude. As opposed to the conventional droop method, the transient response can be modified by acting on the main control parameters. Linear and nonlinear loads can be properly shared due to the addition of a current harmonic loop in the control strategy. Experimental results are presented from a two 6-kVA parallel-connected inverters system, showing the feasibility of the proposed approach.
We consider a motion planning method based on cooperative biological swarming models with virtual attractive and repulsive potentials (VARP). We derive a map between the model and fan speeds for the Kelly, a second or...
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We consider a motion planning method based on cooperative biological swarming models with virtual attractive and repulsive potentials (VARP). We derive a map between the model and fan speeds for the Kelly, a second order vehicle on the Caltech multi vehicle wireless testbed. The motion planning map results leads to the development and implementation of a point to point controller which is subsequently used as part of a cooperative searching algorithm. The VARP control method is scalable and can be used to organize a swarm of robotic vehicles.
We employ set oriented methods in combination with graph partitioning algorithms to identify key dynamical regions in the Sun-Jupiter-particle three-body system. Transport rates from a region near the 3∶2 Hilda reson...
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We employ set oriented methods in combination with graph partitioning algorithms to identify key dynamical regions in the Sun-Jupiter-particle three-body system. Transport rates from a region near the 3∶2 Hilda resonance into the realm of orbits crossing Mars’ orbit are computed. In contrast to common numerical approaches, our technique does not depend on single long term simulations of the underlying model. Thus, our statistical results are particularly reliable since they are not affected by a dynamical behavior which is almost nonergodic (i.e., dominated by strongly almost invariant sets).
In this paper a new design for controlling dynamical systems has been applied to buck converters driven with a PWM centered pulse and (Zero Average Dynamics) ZAD-strategy. Chaotic operation has been stabilized with th...
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In this paper a new design for controlling dynamical systems has been applied to buck converters driven with a PWM centered pulse and (Zero Average Dynamics) ZAD-strategy. Chaotic operation has been stabilized with the so-called Fixed Point Induced control (FPIC) technique. Also, the same converter with delay whose 1-periodic orbit is always unstable, has been stabilized. Simulations are compared with the TDAS stabilization technique. Once a 1-periodic orbit has been stabilized, the dynamics shows the same characteristics and advantages of the ZAD design, such as robustness, fixed switching frequency (with zero average on the sliding surface) and a low output error.
Developing robust and reliable control code for autonomous mobile robots is difficult, because the interaction between a physical robot and the environment is highly complex, it is subject to noise and variation, and ...
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Developing robust and reliable control code for autonomous mobile robots is difficult, because the interaction between a physical robot and the environment is highly complex, it is subject to noise and variation, and therefore partly unpredictable. This means that to date it is not possible to predict robot behaviour, based on theoretical models. Instead, current methods to develop robot control code still require a substantial trial-and-error component to the software design *** iterative refinement could be reduced, we argue, if a more profound theoretical understanding of robot-environment interaction existed. In this paper, we therefore present a modelling method that generates a faithful model of a robot's interaction with its environment, based on data logged while observing a physical robot's behaviour. Because this modelling method — nonlinear modelling using polynomials — is commonly used in the engineering discipline of system identification, we refer to it here as “robot identification”.We show in this paper that using robot identification to obtain a computer model of robot-environment interaction offers several distinct advantages:*** compact representations (one-line programs) of the robot control program are *** model can be analysed, for example through sensitivity analysis, leading to a better understanding of the essential parameters underlying the robot's behaviour, *** generated, compact robot code can be used for cross-platform robot programming, allowing fast transfer of robot code from one type of robot to *** demonstrate these points through experiments with a Magellan Pro and a Nomad 200 mobile robot.
The existing U.S. Paradigm of individual departmental laboratories is increasingly difficult to justify due to the interdisciplinary nature of modern controlengineering, the high cost and rapid obsolescence of techno...
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The existing U.S. Paradigm of individual departmental laboratories is increasingly difficult to justify due to the interdisciplinary nature of modern controlengineering, the high cost and rapid obsolescence of technology, and the demands on faculty time. The College of engineeringcontrolsystems Laboratory (COECSL) at the University of Illinois advocates a shift from departmental labs to college labs for pedagogical, as well as financial, reasons. This approach is proving to be an effective approach to undergraduate controlsystems education.
This research is aimed to the development of a dynamic control to enhance the performance of the existing dynamic controllers for mobile robots. System dynamics of the car-like robot with nonholonomic constraints were...
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This research is aimed to the development of a dynamic control to enhance the performance of the existing dynamic controllers for mobile robots. System dynamics of the car-like robot with nonholonomic constraints were employed. A Backstepping approach for the design of discontinuous state feedback controller is used for the design of the controller. It is shown that the origin of the closed loop system can be made stable in the sense of Lyapunov. The control design is made on the basis of a suitable Lyapunov function candidate. The effectiveness of the proposed approach is tested through simulation on a car-like vehicle mobile robot.
Capturing 3-d information using several 2-d images of topological 3-d objects obtained by acquiring the images under varying illumination conditions is a technique which can be employed in manufacturing systems. The p...
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3-d topography of objects is often obtained only on a qualitative basis by a sequential reconstruction process using segmented images obtained under different illumination conditions. The approach we present in this p...
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