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Research on design of a planar parallel hybrid actuator based on improved genetic algorithm

Published: 14 August 2007 Publication History

Abstract

Hybrid actuators, which are a combination of two types of motor and mechanism, have great flexibility. The concise and available method of dynamics analysis and optimal design for a hybrid actuator is derived on the basis of geometric configuration of the hybrid five bar actuator in this paper. The classical dynamics analysis principle and calculus of variations are applied to derive equations of dynamics analysis. By means of the method, it is simple and convenient for solving the main driving power, the assist driving power or the dynamic reaction forces of a hybrid actuator. Based on an improved genetic algorithm (GA) and dynamics analysis, optimal dynamic design of hybrid five bar actuator is proposed in the study presented here.

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Conner, A. M. The synthesis of hybrid mechanism using genetic algorithm. Ph.D. Thesis, Livepool John Moores University, 1996.
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Greenough, J. D., Bradshaw, W. K., Gilmartin, M. J. Design of Hybrid machine. In Proceedings of the 9th World congress on the Theory of Machines and Mechanisms, 4, 1995, 2501--2505.
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Dülger, L. C., Kireçci, A., Topalbekiroglu, M. Modelling and simulation of hybrid actuator. Mechanism and Machine Theory, 38, 4 (April 2003), 395--407.
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Kireçci, A., Dülger, L. C. A study on a hybrid actuator. Mechanism and Machine Theory, 35, 8 (August 2000), 1141--1149.
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Shames, I. H., Engineering Mechanics. Prentice-Hall, Englewood Cliffs, NJ, 1980.
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Josephs, H., Huston, R. L. Dynamics of Mechanical System. CRC Press LLC, 2002.
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cover image ACM Other conferences
AIGC '07: First International Workshop on Artificial Intelligence in Grid Computing
August 2007
42 pages
ISBN:9781595937599
DOI:10.1145/1577389
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 August 2007

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Author Tags

  1. design
  2. improved genetic algorithm
  3. parallel hybrid actuator
  4. planar

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