Robot will be used in the grinding industry widely to liberate human beings from harsh environments. In the grinding process,\noptimal trajectory planning will not only improve the processing quality but also improve the machining efficiency. The aims of\nthis study are to propose a new algorithm and verify its efficiency in achieving the optimal trajectory planning of the grinding\nrobot. An objective function has been defined terms of both time and jerk. Improved whale optimization algorithm (IWOA) is\nproposed based on whale optimization algorithm (WOA) and differential evolution algorithm (DE). Mutation operation and\nselection operation of DE are imitated in the part of initialization to process the population initialized by WOA, and then, the\nsearch tasks of WOA are performed. Motion with a constant velocity of the end-effector is considered during fine grinding. The\ncontinuity of acceleration and velocity will be achieved by minimizing jerk, and at the same time, smooth robot movement can be\nobtained. Cubic spline interpolation is implemented. A six-axis industrial robot is used for this research. Results show that optimal\ntrajectory planning based on IWOA is more efficient than others. This method presented in this paper may have some indirect\nsignificance in robot business.
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