| 水轮机修复专用机器人的位姿控制方法 |
| |
| 引用本文： | 所丽娜,周欣荣. 水轮机修复专用机器人的位姿控制方法[J]. 哈尔滨理工大学学报, 2003, 8(4): 1-4 |
| |
| 作者姓名： | 所丽娜 周欣荣 |
| |
| 作者单位： | 哈尔滨理工大学,测控技术与通信工程学院,黑龙江,哈尔滨,150040 |
| |
| 基金项目： | 黑龙江省科技攻关项目(G00A12013) |
| |
| 摘 要： | 为实现水轮机修复专用机器人的位姿控制，依据神经网络可以逼近任何非线性函数这一特性，采用融合遗传算法的神经网络建立机器人逆运动学模型，针对机器人的结构特点，改进了神经网络的输出训练样本，设计了用遗传算法学习神经网络权系数的软件实现方法，并提出了应用轨迹插补算法取得轨迹中间点位姿．运行结果表明，该方法可大大提高机器人的位姿控制准确度，并能快速地实现位姿控制．
|
| 关 键 词： | 水轮机维修 机器人 位姿控制 神经网络 遗传算法 逆运动学模型 轨迹插补算法 |
| 文章编号： | 1007-2683(2003)04-0001-04 |
| 修稿时间： | 2002-10-21 |
Control Method of Position and Pose of Special Robot Repairing Hydraulic Turbines |
| |
| SUO Li-na,ZHOU Xin-rong. Control Method of Position and Pose of Special Robot Repairing Hydraulic Turbines[J]. Journal of Harbin University of Science and Technology, 2003, 8(4): 1-4 |
| |
| Authors: | SUO Li-na ZHOU Xin-rong |
| |
| Abstract: | In order to realize the position and pose control of the special robot repairing hydraulic turbines,according to neural networks capable of approximating any nonlinear function, a kind of neural networks mixed with genetic algorithm is applied to build the inverse kinematics model of the robot. To counter the structural feature, the output training samples of networks are improved. The software in which the weights of neural networks are learned by genetic algorithm is designed. And interpolation algorithm is proposed to acquire position and pose of the track' midpoints. The method mentioned can improve considerably the accuracy of control and realize the pose control rapidly. |
| |
| Keywords: | robot neural networks genetic algorithm inverse kinematics |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
