The proposed DFNN controller was applied on tracking control system of 6-dof parallel platform, and the results show that this method has better tracking performance and robustness.
利用动态模糊神经网络控制器对并联平台的轨迹跟踪控制进行了仿真，结果表明此控制算法具有较好的跟踪性能和较强的鲁棒性。
Aiming at the low control accuracy of 6-dof parallel platform, a dynamical fuzzy neural network (DFNN) was proposed to control the parallel platform which had advantages of artificial neural networks.
针对六自由度并联平台运动控制精度不高的缺点，结合人工神经网络的优点，提出了一种动态模糊神经网络(DFNN)控制器来控制并联平台。
This paper studies the calibration method of structure parameter of Parallel 6-dof Docking Platform (PSDP).
对并联六自由度对接平台的结构参数标定问题进行了研究。
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