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《世界制造技术与装备市场》2015,(1):95
<正>1月15日,"2015中国伺服与运动控制工业机器人企业家高峰论坛"在吉林长春盛大举行。近两百位运动控制及工业机器人业界领袖齐聚一堂。本次论坛由中国传动网、《伺服与运动控制》杂志、中国机器人网、长春禹衡光学有限公司联合主办,以"工业智变·‘动'赢未来"为主题,旨在探讨中国伺服、运动控制、工业机器人未来发展,提供上下游产业链交流互通、商机挖掘最佳平台。 相似文献
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在小型液压挖掘机实验平台上,建立了挖掘机工作装置运动学模型,将挖掘机工作装置视为具有冗余自由度的机械臂,用梯度投影法对机械臂进行逆运动学求解,并用径向基函数(RBF)神经网络对投影法中的放大系数K进行在线优化,规划了挖掘机器人工作装置运动轨迹,并对工作装置运动轨迹进行了仿真,为挖掘机的机器人化运动控制的实现奠定基础. 相似文献
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针对变电站特殊的应用环境,为保证巡检机器人的运行可靠性和停车定位精度,研究设计了变电站巡检机器人运动控制系统.重点论述其行走方式、引导与定位方式、系统软硬件设计、运动控制算法等.通过磁轨迹引导与RFID定位,确定机器人本体姿态和位置,简单可靠,定位精度高,抗干扰能力强.通过两驱动轮差速,两万向轮随动,跟踪磁轨迹,执行运动控制指令,控制灵活,可靠性高.采用S曲线加减速、比例微分寻磁、分段补偿等运动控制算法,运动冲击小,控制误差小.经过工程验证,设计的运动控制系统能够满足变电站巡检机器人的应用要求. 相似文献
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挖掘机器人控制具有严重的非线性,其动力系统控制、成形挖掘、自主控制等需要大量的计算,并要求控制的实时性。为解决上述困难,提出了应用分布式控制策略实现挖掘机器人的实时控制。分布式控制系统属于第三代过程控制系统。 相似文献
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针对液压挖掘机器人工作装置和液压系统高度非线性,单一的控制策略不能实现有效精确控制的特点。提出了挖掘机器人轨迹跟踪控制的综合策略。在传统的轨迹规划器中,加入了轨迹优化模块;在关节伺服控制中,采用了基于规则的智能PID控制策略;在泵控制中,采用了改进的负流量节能控制技术。实验结果证实了这种方案的有效性,可以在很大程度上提高挖掘机器人的轨迹跟踪精度,使操作更加平稳。 相似文献
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针对挖掘机器人位置伺服控制中,各关节伺服控制子系统相互独立,关节间速度无法匹配引起的轨迹轮廓误差问题,提出了一种基于交叉耦合路径预补偿算法的挖掘机器人多关节协调控制方法.以一台小型液压挖掘机为实验对象,实验结果表明该方法可以有效地提高斗齿尖轨迹的跟踪精度. 相似文献
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基于虚拟样机的挖掘机器人轨迹规划控制仿真和优化技术研究 总被引:6,自引:2,他引:6
阐述了用虚拟样机技术进行挖掘机器人轨迹规划控制的仿真和优化的必要性;提出了轨迹规划控制的实现方案,分析了关键技术及其解决方法,重点研究了用挖掘机器人虚拟样机进行控制系统参数优化和轨迹规划仿真实验的方法,并以动态响应特性的仿真为例,用物理样机的相应实验结果验证了虚拟样机轨迹规划控制仿真实验模型的正确性;借助在虚拟样机上的仿真实验,分析了液压系统流量分配对轨迹规划效果的影响,提出了轨迹规划的改进措施,用以提高轨迹规划的速度和轨迹跟踪的精度。 相似文献
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The tele-operation robotic system which consists of an excavator as the construction robot, and two joysticks for operating the robot from a safe place are useful for performing restoration in damaged areas. In order to accomplish a precise task, the operator needs to feel a realistic sense of task force brought about from a feedback force between the fork glove of slave robot and unfamiliar environment. A novel force feedback model is proposed based on velocity control of cylinder to determine environment force acting on fork glove. Namely, the feedback force is formed by the error of displacement of joystick with velocity and driving force of piston, and the gain is calculated by the driving force and threshold of driving force of hydraulic cylinder. Moreover, the variable gain improved algorithm is developed to overcome the defect for grasping soft object. Experimental results for fork glove freedom of robotic system are provided to demonstrate the developed algorithm is available for grasping soft object. 相似文献
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Mechanism optimal design of backhoe hydraulic excavator working device based on digging paths 总被引:2,自引:0,他引:2
In order to solve the problem that hydraulic excavator in the real working process cannot meet the design requirements and reveals insufficient digging force, a new method on mechanism optimal design of backhoe hydraulic excavator working device based on digging paths is introduced and discussed in this paper. Considering the characteristics of consecutive digging process of hydraulic excavator, a digging path is composed of bucket digging trajectories and arm digging trajectories. The feasible working region is divided into a series of uniform paths according to the working position of boom. The practical digging performance of excavator is evaluated based on the digging force parameters under combined work condition of the discrete points on the digging paths. It is turned out that the method is more accurate to analyze excavator’s real-world digging performance via the analysis of some practical cases. Based on the new digging performance analysis method, the optimization mathematical model is built to ensure the digging force under combined work condition and the average digging force of every operating path as big as possible. The layout design of hinge position on the working device is optimized through genetic algorithm. The optimization result shows that a certain model of an excavator’s maximum digging force on the customary digging paths is improved by 10% and the average digging force is improved by 4% after the optimization on the working device of the excavator with weak digging force. 相似文献
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Digital Servo Control of a Robotic Excavator 总被引:4,自引:1,他引:3
GU Jun SEWARD Derek 《机械工程学报(英文版)》2009,22(2):190-197
An electro-hydraulic control system is designed and implemented for a robotic excavator known as the Lancaster University Computerised and Intelligent Excavator (LUCIE). The excavator is being developed to autonomously dig trenches without human intervention. Since the behavior of the excavator arm is dominated by the nonlinear dynamics of the hydraulic actuators and by the large and unpredictable external disturbances when digging, it is difficult to provide adequate accurate, quick and smooth movement under traditional control methodology, e.g., PI/PID, which is comparable with that of an average human operator. The data-based dynamic models are developed utilizing the simplified refined instrumental variable (SRIV) identification algorithm to precisely describe the nonlinear dynamical behaviour of the electro-hydraulic actuation system. Based on data-based model and proportional-integral-plus (PIP) methodology, which is a non-minimal state space method of control system design based on the true digital control (TDC) system design philosophy, a novel control system is introduced to drive the excavator arm accurately, quickly and smoothly along the desired path. The performance of simulation and field tests which drive the bucket along straight lines beth demonstrate the feasibility and validity of the proposed control scheme. 相似文献
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Seungjin Yoo Cheol-Gyu Park Seung-Han You 《Journal of Mechanical Science and Technology》2018,32(9):4045-4056
This paper presents a systematic method for estimating the inertial parameters of an excavator. The method utilizes dynamic excavator models with the pressure and displacement measurements of the hydraulic actuators. Provided that the geometrical parameters of the mechanical linkages are obtained with relatively high accuracy, the dynamic model is factored into the unknown inertial parameter vector and the known kinematic matrix. The contribution of each inertial parameter on the actuator force under the specific motion is explored through a dynamic sensitivity analysis. The results are then used to investigate various properties of the inertial parameters and categorize them into identifiable, unrelated to dynamics, and known parameter groups, according to numerical properties of the kinematic matrix. Then the identifiable inertial parameters are estimated sequentially, and the guideline for the optimal excavator position at each estimation step is suggested in order to minimize estimation error. The practicality of this method is demonstrated via data acquired using an actual hydraulic excavator. 相似文献