自动化

戴尔麦克工业机械（苏州）有限公司工业机械手任何一台戴尔麦克工业机械手都是客户定制的,完美地适用于特定的环境中,与其他机械相互配合,提高生产效率。戴尔麦克机械手可以分为立柱式和天桥式两种。机械手使人工的搬运过程更加容易,使操作者可以不费气力对任何形状、大小的产品进行搬运、旋转、倾斜以及定位,可以精确、快速并安全地搬运12～900 kg的负载。戴尔麦克机械手在机械产品的铸造线、     

五自由度液压伺服机械手研制

针对液压机械手在实际生产中存在的问题,设计了满足大功率负载搬运的高负载、高位置精度、高生产率等要求的液压机械手。该机械手采用五自由度机构设计方案,包括夹取机构、俯仰机构、推拉机构及回转机构,实现了负载多自由度的自动定位、夹紧和传递功能,通过机械手正运动学的分析,及末端执行器运动轨迹的仿真试验验证了设计的合理性;设计了机械手液压系统,包括回转机构驱动回路、俯仰机构驱动回路、推拉机构驱动回路、手抓机构驱动回路,并且进行了元件的选型与参数计算;采用西门子控制器和电液伺服控制技术,实现了机械手高性能运动控制。研究结果表明,该液压机械手具有结构简单、运行平稳、精度符合要求、传递效率高等特点,能够较好地解决生产搬运的问题。     

气动搬运机械手的机械结构设计思考

主要针对气动搬运机械手的设计进行研究,首先对气动搬运机械手的设计方案进行了概述,然后分别详细阐述了气动搬运机械手手部结构的设计、气动搬运机械手的手腕结构设计,最后分析介绍了气压系统的设计,以起到推动气动搬运机械手发展的作用。     

搬运机械手机械结构及控制研究

从机械手的应用背景出发,对搬运机械手的总体结构进行了分析和设计,分别从手部结构、手腕结构和气压系统等方面介绍了机械设计思路,采用PLC实现了机械手的运动控制.本文设计的搬运机械手结构紧凑、动作灵活、反应敏捷、稳定可靠,可以满足多种工业控制要求.     

基于虚拟样机技术的搬运机械手仿真设计与研制

针对某企业的车间生产现况,为减轻工人的简单重复性繁重劳动设计了搬运机械手.根据构想利用ADAMS软件建立了搬运机械手的虚拟样机仿真模型,进行运动学仿真,在物理样机制造之前使其运动过程直观化,为搬运机械手的研制奠定了基础.     

基于单片机控制的气动搬运机械手的研制

设计了一种基于气动元件及步进电机的三自由度搬运机械手,可广泛应用于多种棒料、板料物体的搬运中.论述了该机械手的机械结构及其控制系统硬件、软件设计等.     

机械手智能物料搬运装置及其控制系统的设计

设计了机械手智能物料搬运装置,介绍了其特点与功能。同时设计了这一机械手搬运装置的控制系统,介绍了控制系统的软硬件设计,可以使机械手实现对物料进行分色搬运。这一机械手搬运装置成本低,操作简单,实用性强。     

动力电池组装线电芯搬运机械手应用设计

针对动力电池组装线卷绕段至平压段输送线之间需要人工搬运电芯,自动化程度低,劳动强度大的现状,文中提出将自动化搬运机械手引入到动力电池组装线的生产过程中,使用机械手代替人员简单重复的搬运劳动。搬运机械手将卷绕段输送线上的电芯,自动取料放置到平压段输送线上,实现两段输送线间的自动化连接,提高电芯搬运的自动化程度,降低劳动强度,提高生产效率。     

灌装线码垛机械手的设计与研究

介绍了一种用于灌装生产线搬运码垛的新型机械手.该机械手采用机械加电动为主、气动为辅的码垛方式,完成桶装水的抓取、搬运、码放工作,具有效率高、结构简单、运动平稳、符合食品卫生要求的特点,这种技术同样适用于其他桶装物品的搬运、码垛作业.     

气吸盘式注塑件拾取机械手的研制

针对小型带有平面的注塑件拾取,设计了基于气吸盘的注塑件拾取机械手,广泛应用于带有小平面的盘类、板料物体的搬运.该机械手由步进电动机实现机械手绕垂直立柱的旋转,由TN型气缸实现水平伸缩,由MAL型气缸实现垂直伸缩,由负压发生器生成吸盘所需的负压,机械手可搬运小于10kgf的带有小平面的物体.论述该机械手的机械结构及其控制系统硬件、软件设计等.     

新型6-SPS并联机床局部承载能力分析

应用并联机器人机构学理论 ,定义了一种新型 6 SPS并联机床处于初始装配位姿时的承载能力性能指标 ,并分析其承载能力性能指标与结构参数关系 ,为设计和使用该结构方案的并联机床提供理论依据。     

Online payload estimation for the control of underactuated mechanical systems

This paper presents a payload estimation scheme for underactuated robotic manipulators with passive joints that are not driven by actuators. In the proposed scheme, only the payload, which can be quite uncertain when a robot performs various tasks, is estimated, because the manipulator’s electrical and other mechanical parameters are generally known in advance. In comparison to other adaptive schemes for underactuated robotic manipulators, the proposed scheme produces satisfactory transient performance and also reduces the computational burden in real-time implementation. The proposed estimation law is also based on the theory of Variable Structure Systems. In contrast to existing adaptation laws that have an integral form, the proposed law estimates uncertain payload using lowpass filtering of a switching signal that is always bounded, which avoids the parameter-drifting problem that is often encountered when using the previous integral laws. Real-time experiments are conducted using an inverted pendulum and the experimental results demonstrate the feasibility and effectiveness of the proposed scheme.     

Influence of external magnetic field on permanent magnet by EDM

REMORA aims at offering an agile robotic solution for manufacturing tasks done on very large parts (e.g., very long and slender parts found in aeronautic industries). For such tasks, classical machine tools are designed at several tens of meters. Both their construction and operation require huge infrastructure supports. REMORA is a novel lightweight concept and flexible robotic solution that combines the ability of walking and manufacturing. The robot is a mobile manufacturing system which can effectuate operations with good payload capacity and good precisions for large workspace applications. This new concept combines parallel kinematics to ensure high stiffness but low inertia and mobile robotics to operate in very large workspaces. This results in a machining center of new generation: (1) agile manufacturing system for large workspace applications, (2) heavy load and good precisions, (3) 5-axis machining and 5-axis locomotion/clamping, (4) self-reconfigurable for specific tasks (workspace and force), and (5) flexible and multifunctional.     

Performance analysis of two-degree of freedom fractional order PID controllers for robotic manipulator with payload

The robotic manipulators are multi-input multi-output (MIMO), coupled and highly nonlinear systems. The presence of external disturbances and time-varying parameters adversely affects the performance of these systems. Therefore, the controller designed for these systems should effectively deal with such complexities, and it is an intriguing task for control engineers. This paper presents two-degree of freedom fractional order proportional-integral-derivative (2-DOF FOPID) controller scheme for a two-link planar rigid robotic manipulator with payload for trajectory tracking task. The tuning of all controller parameters is done using cuckoo search algorithm (CSA). The performance of proposed 2-DOF FOPID controllers is compared with those of their integer order designs, i.e., 2-DOF PID controllers, and with the traditional PID controllers. In order to show effectiveness of proposed scheme, the robustness testing is carried out for model uncertainties, payload variations with time, external disturbance and random noise. Numerical simulation results indicate that the 2-DOF FOPID controllers are superior to their integer order counterparts and the traditional PID controllers.     

Automatic measurement of payload for heavy vehicles using strain gages

Accidents caused by heavy vehicles have been increasing in recent years. This is mainly due to the fact that vehicle overloading results in steering difficulty and long braking distance. Therefore, this work aims to develop an automatic payload measurement for heavy vehicles, so that drivers and police officers can monitor vehicle payload while on board the measured vehicle. For the ease of installation, high accuracy, and low cost, this work proposes to paste strain gages onto each leaf spring in vehicle suspensions. Based on measured output voltages of bridge circuits in each suspension, the vehicle payload is calculated. Moreover, for promoting the accuracy of calculated payload, this work develops neural network models to account for nonlinearity in measurement. Finally, this work verifies model accuracy based on experimental data.     

Implementation of robust adaptive control for robotic manipulator using TMS320C30

A new adaptive digital control scheme for the robotic manipulator is proposed in this paper. Digital signal processors are used in implementing real time adaptive control algorithms to provide an enhanced motion for robotic manipulators. In the proposed scheme, adaptation laws are derived from the improved Lyapunov second stability analysis based on the adaptive model reference control theory. The adaptive controller consists of the adaptive feedforward and feedback controller and PI type time-varying control elements. The control scheme is simple in structure, fast in computation, and suitable for implementation of real-time control. Moreover, this scheme does not require an accurate dynamic modeling, nor values of manipulator parameters and payload. Performance of the adaptive controller is illustrated by simulation and experimental results for a SCARA robot.     

3-(2SPS)三平动并联机构局部承载能力分析

少自由度并联机构应用于机床上时要求具有较好的承载能力,而其承载能力与机构的雅可比矩阵密切相关,应用机构学理论求出其力雅可比矩阵,定义承载能力性能指标,得出了该指标在工作空间内的分布情况,并分析了局部承载能力性能指标与结构参数之间的关系,为该型并联机构的设计与开发提供了依据。     

3-（2SPS）三平动并联机构局部承载能力分析

少自由度并联机构应用于机床上时要求具有较好的承载能力,而其承载能力与机构的雅可比矩阵密切相关,应用机构学理论求出其力雅可比矩阵,定义承载能力性能指标,得出了该指标在工作空间内的分布情况,并分析了局部承载能力性能指标与结构参数之间的关系,为该型并联机构的设计与开发提供了依据。     

A robust real time adaptive controller design for robot manipulator with eight-joints based on DSPs

In this paper we propose a new technique to the design and real-time control of an adaptive controller for robotic manipulator based on digital signal processors. The Texas Instruments DSPs (TMS320C80) chips are used in implementing real-time adaptive control algorithms to provide enhanced motion control performance for robotic manipulators. In the proposed scheme, adaptation laws are derived from model reference adaptive control principle based on the improved Lyapunov second method. The proposed adaptive controller consists of an adaptive feed-forward and feedback controller and time-varying auxiliary controller elements. The proposed control scheme is simple in structure, fast in computation, and suitable for realtime control. Moreover, this scheme does not require any accurate dynamic modeling, nor values of manipulator parameters and payload. Performance of the proposed adaptive controller is illustrated by simulation and experimental results for robot manipulator with eight joints at the joint space and cartesian space.     

Maximum load-carrying capacity of autonomous mobile manipulator in an environment with obstacle considering tip over stability

In order to increase the efficiency of wheeled mobile manipulators (WMM), it is preferred to carry the maximum payload, but in the case of a small-sized platform, which is desirable in applications, it may cause dangerous tip over, especially in the presence of obstacles. So, it is necessary to consider stability constraint in the determination of robot motion planning. This paper presents a novel approach for the determination of the maximum payload-carrying capacity of a coordinated mobile manipulator in an environment with presence of obstacle, based on stability. The proposed method considers the tip over stability on zero moment point criterion, which must be considered when the path of the end-effector is predefined but the position of the mobile platform is free, because tipping over in this condition is probable. Hence, the full dynamic model of WMM (including the coordinating vehicle and manipulator) is used, the obstacle avoidance scheme is implied based on potential functions, and the maximum payload path for a specified payload is generated using the optimal control approach. Then, an iterative method based on the stability criterion and motor restriction, including torque and jerk, was implied to calculate the maximum payload capacity. To the best of our knowledge, this is the first paper reporting on some simulation results as well as successful experiments of implementing the algorithm. The proposed approach has been implemented and tested on a nonholonomic WMM consisting of a differential-drive mobile base and a robotic arm to demonstrate the efficiency and effectiveness of the proposed approach.