同时对六自由度运动平台在其他领域的应用做了简要介绍。
At the same time applications of six-freedom motion platform in other fields is introduced briefly.
分析了六自由度运动平台系统受到外力冲击干扰情况下的位姿响应。
Shock response of 6-dof parallel motion platform driven by hydraulic actuators is analyzed.
机械系统动力学模型是研究液压六自由度运动平台控制策略的重要组成部分。
The mechanical dynamics model is an important research area of the control strategy for the six-dof hydraulic motion platform.
本文采用矩阵和向量分析方法，对六自由度运动平台运动学特性进行了研究。
In this paper, kinematics characteristics of 6-dof motion platform are studied by using analysis method of matrix and vector.
以六自由度运动平台为研究对象，分析了平台的运动学和动力学问题，采用了CMAC神经网络作为控制器，实现运动轨迹的跟踪。
This paper analyzed the kinematics and dynamics of the 6 DOF platform, and adopted CMAC Neural Networks as controller to realize tailing track.
因此，深入地研究液压六自由度运动平台的控制策略及其相关的参数辨识方法，以提高液压六自由度运动平台的动态响应性能具有十分重要的意义。
Therefore, a widely and in-dept research on the control theory and parameter identification for the six-dof hydraulic motion platform to improve the performance has a great significance.
推导出张力腿平台六自由度有限运动非线性控制方程。
The governing differential equations of tension leg platform considering comprehensive nonlinearities are deduced.
与固定式平台不同，张力腿平台（TLP）是一个浮式结构，具有六个运动自由度。
The updated fatigue reliability of a tension leg platform(TLP) tendon system based on inspection was investigated.
与固定式平台不同，张力腿平台（TLP）是一个浮式结构，具有六个运动自由度。
Unlike fixed platform, Tension Leg Platform (TLP) is a floating structure with 6 degrees of freedom.
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。
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。
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.
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