Parameters optimization of a parallel three degree-of-freedom bionic eye based on genetic algorithm

At present, for the optimization of the parallel three degree-of-freedom bionic eye, it often takes the work-space and volume as the optimizing objective, and the theoretical motion accuracy of the bionic eye is ignored. In this paper, the inverse kinematics model of the bionic eye is established, and then its flexibility is analyzed. Finally, taking the comprehensive performance index, which is used to evaluate the work-space, volume and theoretical motion accuracy, as the optimizing objective, we use the genetic algorithm to optimize the structure parameters of the bionic eye. The result shows that the bionic eye after optimization not only meets the design requirements for the target work-space and small volume, but also has the advantages of high theoretical motion accuracy and good comprehensive performance.