Research Article
Research on Design of a Planar Parallel Hybrid Actuator Based on Improved Genetic Algorithm
@INPROCEEDINGS{10.1145/1577389.1577393, author={Ke Zhang and Kun Gao and Hui Zhang}, title={Research on Design of a Planar Parallel Hybrid Actuator Based on Improved Genetic Algorithm}, proceedings={1st International ICST Workshop on Artificial Intelligence in Grid Computing}, publisher={ACM}, proceedings_a={AIGC}, year={2007}, month={8}, keywords={Planar Parallel hybrid actuator Design Improved genetic algorithm.Algorithms Performance Design Theory.}, doi={10.1145/1577389.1577393} }- Ke Zhang
Kun Gao
Hui Zhang
Year: 2007
Research on Design of a Planar Parallel Hybrid Actuator Based on Improved Genetic Algorithm
AIGC
ACM
DOI: 10.1145/1577389.1577393
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.
