Topic
Inertia
About: Inertia is a research topic. Over the lifetime, 12006 publications have been published within this topic receiving 164291 citations.
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01 Jan 2007
TL;DR: In this article, a two-dimensional model of a press nip which takes into account elasticity and flow phenomena is presented, with a numerical solution algorithm and a numerical investigation of the model with special focus on inertia effects.
Abstract: We are concerned with modeling and simulation of the pressing section of a paper machine. We state a two-dimensional model of a press nip which takes into account elasticity and flow phenomena. Nonlinear filtration laws are incorporated into the flow model. We present a numerical solution algorithm and a numerical investigation of the model with special focus on inertia effects.
46 citations
46 citations
TL;DR: In this article, the natural frequencies and stability of a string traveling between two fixed supports and in contact with a stationary load system, which contains such parameters as dry friction, inertia, damping, and stiffness, are investigated both numerically and analytically.
Abstract: The natural frequencies and stability of a string traveling between two fixed supports and in contact with a stationary load system, which contains such parameters as dry friction, inertia, damping, and stiffness, are investigated both numerically and analytically. After establishing the orthogonality properties between. the eigenfunctions of a freely traveling string, the eigenvalues of the coupled system are calculated by a numerical procedure based on eigenfunction expansion method. It is found that the stiffness in the load system tends to increase the natural frequencies of the traveling string, while the inertia tends to decrease the natural frequencies. When the load system contains both inertia and stiffness elements with natural frequency W z , inertia effect is dominant for the modes with natural frequencies higher than W z , and stiffness effect is dominant for the modes with natural frequencies lower than W z . Large dry friction causes flutter instability in the high speed range, which cannot be suppressed by the damping element in the load system. The expressions for the derivatives of eigenvalues with respect to various load parameters are derived to verify the numerical results.
46 citations
Patent•
27 Oct 1980
TL;DR: In this article, a control system for a programmable manipulator having an arm movable in a plurality of axes that results in improved dynamic performance and control of a manipulator arm over a wide range of arm loads, dynamic operating parameters of the arm, and over the full range of operating positions.
Abstract: A control system is provided for a programmable manipulator having an arm movable in a plurality of axes that results in improved dynamic performance and control of a manipulator arm over a wide range of arm loads, dynamic operating parameters of the arm, and over the full range of arm operating positions. The control system for one or more of the controlled axes includes several servo control loops utilizing force or pressure feedback from the axis actuators and variable inertia scaling of selected loop command signals and loop parameters. The variable inertia scaling in accordance with the inertia of the arm provides improved dynamic performance of the manipulator arm while maintaining stable servo-loop operation over a wide range of operating parameters. In a preferred arrangement, the variable inertia scaling is accomplished by the use of a look up table with appropriate interpolation of the table entries. The look up table is stored in a digital axis processor with the appropriate variable inertia scaling factors being determined by the axis processor for use by the respective axis servo-loop. The look up table in accordance with various predetermined operating requirements of the manipulator apparatus includes data entries representing inertia scaling factors according to the mass of the arm load, the commanded velocity in a particular axis, and the operating positions of one or more of the major control axes of the arm.
46 citations
12 Dec 2008
TL;DR: This novel self-adaptive PSO can greatly accelerate the convergence rate and improve the capability to reach the global minimum for large-scale problems, and exhibits a consistent methodology: a larger swarm size leads to a better performance.
Abstract: The particle swarm optimization algorithm (PSO) has successfully been applied to many engineering optimization problems. However, the most of existing improved PSO algorithms work well only for small-scale problems on low-dimensional space. In this new self-adaptive PSO, a special function, which is defined in terms of the particle fitness, swarm size and the dimension size of solution space, is introduced to adjust the inertia weight adaptively. In a given generation, the inertia weight for particles with good fitness is decreased to accelerate the convergence rate, whereas the inertia weight for particles with inferior fitness is increased to enhance the global exploration abilities. When the swarm size is large, a smaller inertia weight is utilized to enhance the local search capability for fast convergence rate. If the swarm size is small, a larger inertia weight is employed to improve the global search capability for finding the global optimum. For an optimization problem on multi-dimension complex solution space, a larger inertia weight is employed to strengthen the ability to escape from local optima. In case of small dimension size of solution space, a smaller inertia weight is used for reinforcing the local search capability. This novel self-adaptive PSO can greatly accelerate the convergence rate and improve the capability to reach the global minimum for large-scale problems. Moreover, this new self-adaptive PSO exhibits a consistent methodology: a larger swarm size leads to a better performance.
46 citations