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contributor authorE. Lu
contributor authorJ. Ni
contributor authorS. M. Wu
date accessioned2017-05-08T23:50:56Z
date available2017-05-08T23:50:56Z
date copyrightFebruary, 1996
date issued1996
identifier issn1087-1357
identifier otherJMSEFK-27784#67_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/117341
description abstractAn integrated lattice filter adaptive control system is developed for the control of time-varying CMM structural vibrations. An efficient algorithm is developed to provide a link between the adaptive lattice filter and the minimum variance control by directly utilizing the lattice filter parameters at time t − 1 for control. The approach avoids the conversion to system parameters and is therefore computationally efficient for applications of real time control. To fully utilize the benefit of the lattice filter, a heuristic criterion for on-line order determination is developed using the lattice filter parameters. With a linear computational cost, the developed algorithm will perform on-line system order determination, parameter tracking, and control calculation at each sampling instance. The simulation result shows that the approximation of output prediction is reasonable and the integrated lattice filter adaptive control can reduce the system settling time by 82 percent as compared with no control.
publisherThe American Society of Mechanical Engineers (ASME)
titleAn Integrated Lattice Filter Adaptive Control System for Time-Varying CMM Structural Vibration Control, Part 1: Theory and Simulation
typeJournal Paper
journal volume118
journal issue1
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.2803649
journal fristpage67
journal lastpage76
identifier eissn1528-8935
keywordsAdaptive control
keywordsSimulation
keywordsCoordinate measuring machines
keywordsVibration control
keywordsFilters
keywordsAlgorithms
keywordsReal-time control
keywordsVibration
keywordsApproximation
keywordsSampling (Acoustical engineering) AND Simulation results
treeJournal of Manufacturing Science and Engineering:;1996:;volume( 118 ):;issue: 001
contenttypeFulltext


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