Novel integrated optimization algorithm for trajectory planning of robot manipulators base

Novel integrated optimization algorithm for trajectory planning of robot manipulators based

on integrated evolutionary programming

Xiong LUO;Xiaoping FAN;Heng ZHANG;Tefang CHEN

【期刊名称】《控制理论与应用（英文版）》 【年(卷),期】2004(002)004

【摘要】Optimal trajectory planning for robot manipulators plays an important role in implementing the high productivity for robots.The performance indexes used in optimal trajectory planning are classified into two main categories:optimum traveling time and optimum mechanical energy of the actuators.The current trajectory planning algorithms are designed based on one of the above two performance indexes.So far,there have been few planning algorithms designed to satisfy two performance indexes simultaneously.On the other hand,some deficiencies arise in the existing integrated optimization algorithms of trajectory planning.In order to overcome those deficiencies,the integrated optimization algorithms of trajectory planning are presented based on the complete analysis for trajectory planning of robot manipulators.In the algorithm,two object functions are designed based on the specific weight coefficient method and \point\strategy.Moreover,based on the features of optimization problem,the intensified evolutionary programming is proposed to solve