Optimizing Transplanting Mechanism with Planetary Elliptic Gears Based on Multi-body Dynamic Analysis and Approximate Models

Abstract

Abstract The multidisciplinary design optimization (MDO) strategy of the transplanting mechanism was determined, which was decomposed into three disciplines of kinematics, dynamics, and structural mechanics. The multidisciplinary design collaborative optimization models of the transplanting mechanism were established. The Latin hypercube design method was used to generate the initial sample points and construct the kriging model between the system-level variables and the discipline-level optimization. The MDO platform on the planetary elliptic gears transplanting mechanism was established on the basis of ISIGHT software and calculated by using the hybrid algorithm of multi-island genetic algorithm and sequential quadratic programming method. Optimization results showed that the width of the trajectory dynamic hole of the seedling needle tip, the frame vibration peak force, and the overall quality of the transplanting mechanism decreased by 55.6%, 20.5%, and 9.33%, respectively. The optimum overall performance of the transplanting mechanism was obtained by using the MDO based on approximation technique to meet the agronomic requirements of rice transplanting under high-accuracy computation and low computation time.