Research Article
Study on Kinematics Design of a Planar Controllable Mechanism Based on Particle Swarm Optimization Algorithm
@INPROCEEDINGS{10.1145/1577389.1577398, author={Ke Zhang and Kun Gao and Hui Zhang}, title={Study on Kinematics Design of a Planar Controllable Mechanism Based on Particle Swarm Optimization Algorithm}, proceedings={1st International ICST Workshop on Artificial Intelligence in Grid Computing}, publisher={ACM}, proceedings_a={AIGC}, year={2007}, month={8}, keywords={Controllable mechanism Kinematics design Particle Swarm Optimization.Algorithms Performance Design Theory.}, doi={10.1145/1577389.1577398} }- Ke Zhang
Kun Gao
Hui Zhang
Year: 2007
Study on Kinematics Design of a Planar Controllable Mechanism Based on Particle Swarm Optimization Algorithm
AIGC
ACM
DOI: 10.1145/1577389.1577398
Abstract
Hybrid mechanism, which are a combination of two types of motor and mechanism, has good flexibility. In this paper, the kinematics analysis for a hybrid five-bar mechanism is introduced. An optimization design of hybrid actuator is performed with reference to kinematics objective function. Compared with conventional optimum evaluation methods such as simplex search and Powell method, Particle Swarm Optimization (PSO) algorithm can improve the efficiency of searching in the whole field by gradually shrinking the area of optimization variable. Compared to GA, PSO is easy to implement and there are few parameters to adjust. In order to solve the design problem, integrating MATLAB Optimization Toolbox and PSO optimization algorithm for the constraint equations. The precision of optimum dimensions obtained by using the hybrid optimization method can be improved evidently. Finally, a numerical example is carried out, and the simulation results show that the optimization method is feasible and satisfactory in the design of hybrid mechanism.
