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Multiobjective Optimization Design of a Hybrid Actuator with Genetic Algorithm

  • Ke Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4234)

Abstract

A hybrid mechanism is a configuration that combines the motions of two characteristically different electric motors by means of a mechanism to produce programmable output. In order to obtain better integrative performances of hybrid mechanism, based on the dynamics and kinematic analysis for a hybrid five-bar mechanism, a multi-objective optimization of hybrid five bar mechanism is performed with respect to four design criteria in this paper. Optimum dimensions are obtained assuming there are no dimensional tolerances and clearances. By the use of the properties of global search of genetic algorithm (GA), an improved GA algorithm is proposed based on real-code. Finally, a numerical example is carried out, and the simulation result shows that the optimization method is feasible and satisfactory in the design of hybrid actuator.

Keywords

Genetic Algorithm Multiobjective Optimization Bond Graph Hybrid Machine Kinematic Performance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ke Zhang
    • 1
  1. 1.School of Mechanical and Automation EngineeringShanghai Institute of TechnologyShanghaiChina

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