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针对Stewart平台位姿正解,数值解法计算速度较慢,迭代初始值选取不当可能得不到位姿正解等问题。采用BP神经算法解算解决上述问题,仿真和实验结果表明该方法快速有效。
Aiming at the Stewart platform pose positive solution, the numerical solution method is slow in calculation, the initial value of iteration is not properly selected and may not get the pose and attitude positive solution and so on. The BP neural algorithm solves the above problems and the simulation and experimental results show that the method is fast and effective.