基于免疫RBF神经网络的逆运动学求解

求解机械臂逆运动学问题可以采用神经网络来建立逆运动学模型,通过遗传算法或BP算法训练神经网络的权值从而得到问题的解,在求解精度和收敛速度上有待进一步改进。采用人工免疫原理对RBF网络训练数据集的泛化能力在线调整隐层结构,生成RBF网络隐层。当网络结构确定时,采用递推最小二乘法确定网络连接权值。由此对神经网络的网络结构和连接权进行自适应调整和学习。通过仿真可以看出,用免疫原理训练的神经网络收敛速度快,泛化能力强,可大幅提高机械臂逆运动学求解精度。     

自动机械臂定位精度分析

针对某种自动机械臂的控制进行了研究,该系统主要由控制单元、执行机构、测量单元及显示单元4部分组成。介绍了控制系统的工作原理,建立了机械吊臂数学模型,对转载过程中机械臂的定位精度进行了计算分析,在最大工作距离5 m范围内,机械臂定位标准差小于10 mm,达到了较高的精度,为自动转载系统的工程实现奠定了理论基础。     

Noise analysis of robot manipulator using neural networks

Due to a lot of robot manipulators application in industry, low noise degree is very important criteria for robot manipulator's joints. In this paper, joint noise problem of a robot manipulator with five joints is investigated both theoretically and experimentally. The investigation is consisted of two steps. First step is to analyze the noise of joints using a hardware and software. The hardware is a part of noise sensors. The second step; according to experimental results, some neural networks are employed for finding robust neural noise analyzer. Five types of neural networks are used to compare each other. From the results, it is noted that the proposed RBFNN gives the best results for analyzing joint noise of the robot manipulator.     

嵌入式Linux下的FRAM驱动程序设计

针对铁电存储器(FRAM)在基于ARM9的嵌入式Linux系统下设备节点的读写及应用问题,研究Linux系统的驱动设计,分析FRAM的工作原理和硬件特性,提出基于Linux系统标准驱动架构与铁电底层预处理、读写、控制等工作机制相结合的FRAM驱动程序设计与实现流程。底层实现采用内核级基于FRAM的寻址方式,结果证明了该驱动在相应数据存储、传输中的可行性与稳定性。     

Joint stiffness identification of six-revolute industrial serial robots

Although robots tend to be as competitive as CNC machines for some operations, they are not yet widely used for machining operations. This may be due to the lack of certain technical information that is required for satisfactory machining operation. For instance, it is very difficult to get information about the stiffness of industrial robots from robot manufacturers. As a consequence, this paper introduces a robust and fast procedure that can be used to identify the joint stiffness values of any six-revolute serial robot. This procedure aims to evaluate joint stiffness values considering both translational and rotational displacements of the robot end-effector for a given applied wrench (force and torque). In this paper, the links of the robot are assumed to be much stiffer than its actuated joints. The robustness of the identification method and the sensitivity of the results to measurement errors and the number of experimental tests are also analyzed. Finally, the actual Cartesian stiffness matrix of the robot is obtained from the joint stiffness values and can be used for motion planning and to optimize machining operations.     

基于LabVIEW串口通信的多路数据采集系统

本文介绍了一种基于LabVIEW软件平台的单片机多路数据采集系统的设计原理和过程。本设计选用ATmega 128单片机组成的系统作为前端数据采集系统进行多路数据采集,通过RS-485串口通信将数据传输至上位机;利用LabVIEw强大的数据处理和显示功能对采集的数据进行实时处理、分析、显示和存储。     

Modeling of tracked mobile manipulators with consideration of track–terrain and vehicle–manipulator interactions

This paper presents a systematic method to establish the kinematics model for a tracked mobile manipulator on firm grounds, with consideration of the interactive motions between the tracks and the terrain, as well as those between the tracked vehicle and the onboard manipulator. Kinematics analysis is essential for real-time pose estimation and online autonomous navigation of tracked mobile manipulators. Furthermore, to improve the effectiveness of motion planning, and to simulate or control tracked mobile manipulators, a reliable kinematics model is required. However, kinematics modeling for a tracked mobile manipulator is complicated by the fact that there are infinite number of contact points between the tracks and the terrain, which makes slippage unavoidable. The track–terrain and vehicle–manipulator interactions make the problem even more complicated as the motion of the onboard manipulator and the centrifugal forces during moderate or high speed motion give rise to transfer of the load distribution, which will affect the longitudinal and lateral tractive forces and the resistance. Also, the motion of the mobile platform contributes to the inertial forces of the manipulator, and the track–terrain interactive forces help balance the gravity as well as the manipulation forces. The developed kinematics modeling approach is presented on the basis of a tracked mobile manipulator in our laboratory, but the forward kinematics analysis method, and the track–terrain and vehicle–manipulator interaction analysis algorithm are general, and can be used for any tracked mobile manipulators with little modification. This work lays a solid foundation for autonomous control, online slippage estimation, real-time traction optimization as well as tip-over prediction and prevention of tracked mobile manipulators.     

基于TMS320F2812的高速数据采集处理系统

介绍一种基于TMS320F2812的多路数据采集系统的设计方案。采用DSP芯片TMS320F2812实现对多路数据的实时采集处理。通过USB2．0将数据传到上位机,由上位机对数据进行具体分析并将结果反馈给DSP进行控制。该系统具有结构简单、可靠性高、使用灵活和性价比高等优点。     

2．4GHz无线USB技术的开发与应用

分析USB协议和无线通信协议,针对2．4GHz无线USB设备的应用,在应用层上提出一种协议模型,使一个从属设备可以同时与多个主控设备进行通信。改进直接序列扩频机制和独立通信信道机制,减少通信过程中的干扰和冲突。利用Cypress CYRF6936和Freescale MC68HC908JW32芯片实现一个应用实例。     

低成本单伺服注塑机械手控制系统设计

在注塑行业,注塑机械手已经逐渐替代人工操作并发挥着重要作用,而注塑机械手的精度又直接影响到注塑机的工艺和注塑件的质量.针对目前注塑机械手存在部分问题的现状,设计了一种基于STM32单片机的高精度低成本的注塑机械手控制系统,并对其硬件系统和软件系统做了详细的介绍.经过实验测试,注塑机械手达到了预期的功能和控制精度,但是其价格相比工业上的注塑机机械手降低了30％.