Integrating scheduling and control functions in computer integrated manufacturing using artificial intelligence

Proper integration of scheduling and control in Flexible Manufacturing Systems will make available the required level of decision-making capacity to provide a flexibly-automated, efficient, and quality manufacturing process. To achieve this level of integration, the developments in computer technology and sophisticated techniques of artificial intelligence (AI) should be applied to such FMS functions as scheduling. In this paper, we present an Intelligent Scheduling System for FMS under development that makes use of the integration of two AI technologies. These two AI technologies — Neural Networks and Expert Systems — provide the intelligence that the scheduling function requires in order to generate goodschedules within the restrictions imposed by real-time problems. Because the system has the ability to plan ahead and learn, it has a higher probability of success than conventional approaches. The adaptive behavior that will be achieved contribute to the integration of scheduling and control in FMS.     

信令网的核心--下一代信令转接点

本文在讨论了下一代信令转接点在满足传统信令网络功能的基础上，着重介绍了下一代的信令转接点上实现的号码携带、灵活路由等新业务，并如何实现传统STP面向下一代网络的平滑过渡。     

The Influence of Gravity on Trajectory Planning for Climbing Robots with Non-Rigid Legs

In this paper questions related to the occurrence of departures of a legged climbing robot from the given trajectory are considered. The basic idea of the paper is to show that, if there are slackness and non-rigidities, the legged climbing robot moving upon an inclined or vertical plane, departs systematically from the planned trajectory. It is demonstrated that these departures result from the gravity and are of systematic character. It is also shown how the inclusion of torsion effect changes substantially the nature of systematic errors arising from robot's movement along the inclined surface.     

步行机攀登横杆的受力模型及分析

针对４足步行机器人的横杆攀登过程，在考虑弹性变形的基础上利用刚度矩阵建立其受力模型，并通过计算机仿真对攀登过程的不同情况进行了分析，其结果为具有攀登功能的步行机构结构设计及控制算法确定提供了理论依据。     

Manipulating Deformable Linear Objects: Fuzzy-Based Active Vibration Damping Skill

Human can handle a deformable object and damp its vibration with recognized skill. However, for an industrial robot, handling a deformable object with acute vibration is often a difficult task. This paper addresses the problem of active damping skill for handling deformable linear objects (DLOs) by using a strategy inspired from human manipulation skills. The strategy is illustrated by several rules, which are explained by a fuzzy and a P controller. A proportional-integral-derivative (PID) controller is also employed to explain the rules as a comparison. The interpretations from controllers are translated into high level commands in a robotic language V+. A standard industrial robot with a force/torque sensor mounted on the wrist was employed to demonstrate the skill. Experimental results showed the fuzzy based damping skill is quite effective and stable even without any previous acknowledge of the deformable linear objects.Category (5)     

High accuracy path tracking for vehicles in presence of sliding: Application to farm vehicle automatic guidance for agricultural tasks

When designing an accurate automated guidance system for vehicles, a major problem is sliding and pseudo-sliding effects. This is especially the case in agricultural applications, where five-centimetre accuracy with respect to the desired trajectory is required, although the vehicles are moving on slippery ground. It has been established that RTK GPS was a very suitable sensor to achieve automated guidance with such high precision: several control laws have been designed for vehicles equipped with this sensor, and provide the expected guidance accuracy as long as the vehicles do not slide. In previous work, further control developments have been proposed to take sliding into account: guidance accuracy in slippery environments has been shown to be preserved, except transiently at the beginning/end of curves. In this paper, the design of this control law is first recalled and discussed. A Model Predictive Control method is then applied in order to preserve accuracy of guidance even during these curvature transitions. Finally, the overall control scheme is implemented, and improvements with respect to previous guidance laws are demonstrated through full-scale experiments.     

Minimizing total weighted completion time when scheduling orders in a flexible environment with uniform machines

We consider the scheduling of orders in an environment with m uniform machines in parallel. Each order requests certain amounts of k different product types. Each product type can be produced by any one of the m machines. No setup is required if a machine switches over from one product type to another. Different product types intended for the same order can be produced at the same time (concurrently) on different machines. Each order is released at time zero and has a positive weight. Preemptions are allowed. The completion time of an order is the finish time of the product type that is completed last for that order. The objective is to minimize the total weighted completion time. We propose heuristics for the non-preemptive as well as the preemptive case and obtain worst case bounds that are a function of the number of machines as well as the differences in the speeds of the machines. Even though the worst-case bounds we showed for the two heuristics are not very tight, our experimental results show that they yield solutions that are very close to optimal.     

打捆机器人自动控制系统

介绍了莱钢中小型轧钢生产线打捆机器人自动控制系统的硬件配置、软件结构及其主要控制功能，并对打捆定位和打捆过程作了详细说明。     

基于Matlab的教学型机器人空间运动轨迹仿真

根据教学型机器人的实际结构特点，利用Matlab中SimMechanics工具箱建立了运动学仿真模型。并进行机器人关节空间和直角坐标系下的运动仿真。仿真结果表明利用仿真模型可以准确、有效地得到机器人的运动参数和运动轨迹，为机器人分析设计提供了可靠依据。