沙角C电厂一次风机故障分析及处理

风机是火电厂的重要辅机,风机工作点偏离最佳经济工况、运行中出现动叶卡瑟、喘振是风机最常见故障,如果处理不当可能导致火电厂事故停炉。通过对沙角C电厂660MW机组轴流式一次风机在运行时出现动叶卡涩、过力矩、液压油温高等一系列问题的分析,采取相应的措施进行处理,从根本上解决了一次风机的故障,对同类型一次风机的故障处理具有参考作用。     

基于背景分类的运动目标检测算法

针对光线暗、对比度和分辨率低的监控视频,提出了一种基于背景分类的运动目标检测算法。 首先用视频第一帧图像HSV空间的色度H和亮度V作为背景特征进行初始化,建立两种包含色度和亮度特征的背景模型类,即初始化得到的原始背景类和受光照或者其他因素影响得到的在原始背景周围波动的背景波动类,利用这两个背景模型进行前景检测和背景更新。为提高前景检测的准确率,背景模型的更正加入背景更正机制和权重机制,使得背景中样本的数量根据背景的实际情况处在一种动态的变化中,提高前景分割的效率。用不同场景下的监控视频进行算法对比实验,结果证明,该算法获得的前景完整清晰,视频处理的速度较快。提出的算法简单实用,对噪声干扰表现出良好的鲁棒性。     

3-RRRT并联机器人鲁棒自适应模糊滑模控制

针对3-RRRT型搬运并联机器人提出了一种直接自适应模糊滑模控制方法.根据机器人的系统动力学模型特点,基于Lyapunov函数的综合设计方法和滑模控制理论,利用模糊逻辑系统与自适应技术相结合,提出了一种控制律,然后进行了系统控制仿真实验.结果表明,采用这种直接自适应模糊滑模控制方法的3-RRRT型并联机器人在周期干扰状况下达到了较高的轨迹控制精度,其闭环系统具有较强的自适应性和鲁棒稳定性.     

变电运行动态培训仿真系统的研制

本文重要介绍用于电气运行人员培训的动态仿真专家系统的设计思想、实现方法及其应用效果。     

一种基于ROS 的分布式安防巡逻机器人系统

针对目前安防巡逻机器人系统中对机器人主控机负载能力要求较高的问题,设计一种基于机器人操作系 统(robot operating system,ROS)的分布式安防巡逻机器人系统。将同时定位与建图(simultaneous localization and mapping,SLAM)节点以及视觉识别节点分布于局部ROS 网络中的机器人主控机和远程监控端,SLAM 方面采用 gmapping 算法实现动态环境中的地图构建以及机器人的定位;视觉识别方面采用TensorFlow 深度学习框架,利用 TensorFlow Object Detection API 实现场景里多个物体的识别。结果表明,该系统为基于ROS 的分布式安防巡逻机器 人系统的设计提供了参考。     

基于广域网的遥操作工程机器人神经网络控制

针对在广域网环境下因较大网络时延造成遥操作工程机器人系统操作性能下降甚至系统不稳定的问题,提出一种神经网络控制方法。借助于广域网模拟器,在局域网环境下进行了不同网络时延下的位置阶跃响应和稳态跟踪实验研究。结果表明:与常规PID控制方法相比,该方法具有更好的动态和稳态特性,对网络时延具有较好的适应性和鲁棒性。研究结果对提高广域网环境下的遥操作工程机器人系统的操作性能具有指导意义。     

Optimal robot positioning using task-dependent and direction-selective performance indexes: General definitions and application to a parallel robot

Performance evaluation is an important issue for optimal robot positioning within workcells. Performance indexes can provide essential contributions to such an evaluation, in particular if they can account for the specific task with respect to which the optimization is carried out.     

A cognitive robot architecture based on tactile and visual information

In this paper, we propose an architecture for a cognitive robot based on tactile and visual information. Visual information contains various features such as location and area of various colored regions. Most of these features are irrelevant for object recognition to achieve the given task. In the architecture, tactile information plays a key role in the selection of visual features and discritization of selected features. In order to find appropriate visual features we use a correlation coefficient between the values of the features and action series. Then the ChiMerge algorithm is employed to discritize the value of the selected feature into a small number of intervals. Consequently, quantization of a state space to accomplish the given task is achieved. An appropriate behavior to the given task is acquired by using this state space with reinforcement learning algorithm. We give experimental results of computer simulation to show the validity of our method.     

Transition Motion from Ladder Climbing to Brachiation with Optimal Load-Allocation Control

Abstract

This paper describes the transition motion from ladder climbing to brachiation for a multi-locomotion robot (MLR). The MLR has versatile modes of locomotion, such as biped walking, quadruped walking, brachiation and ladder climbing. The transition is a challenging motion, because the environmental boundaries change and the robot has to switch the form of its locomotion depending on its surroundings, situations and purposes. The robot supports itself with three end-effectors that maintain its stability, while one hand transfers from a rung on the vertical ladder to a new rung behind the robot for brachiation. A closed kinematic chain is formed by the robot links and the ladder. In this case, if the number of position-controlled active joints is greater than the number of the chain’s degrees of freedom, an internal stress appears because of unavoidable position errors. The huge internal stress may lead some motors to become overloaded. Since the safety of each motor is very important for a serial-link robot, a load-allocation algorithm is proposed to balance the loads of the joint motors. The algorithm is verified through experiments.     

On rotations and translations with application to robot manipulators

Robot motion is described by a set of positions and orientations of the robot's end-effector relative to some base coordinate system. Different methods to describe this motion are available and most of them are presented in this paper. Methods for position vector, free vector, and line vector transformation are presented and compared, and the advantages and disadvantages, the simplicity, and the number of arithmetic operations required of the different methods are addressed. An example of the application of these methods to a six degree-of-freedom robot is given.