Fine-Motion-Control Method for Realizing High-Accuracy and High-Speed Contact Motion of Industrial Robots by Employing Sensorless Force Control

2012 ◽  
Vol 132 (3) ◽  
pp. 322-332 ◽  
Author(s):  
Naoki Shimada ◽  
Takashi Yoshioka ◽  
Kiyoshi Ohishi ◽  
Toshimasa Miyazaki
2012 ◽  
Vol 217-219 ◽  
pp. 2664-2668
Author(s):  
Shi Yong Wang ◽  
Di Li

To implement high-speed and high-accuracy elliptic interpolation required in high-performance motion control, novel coordinate calculation and end point judgment schemes are proposed. Data Sample method is used for coordinate calculation. High accuracy is guaranteed by avoiding approximation calculation of interpolation points. Exact end point judgment is constructed based on the position relationship of the current interpolation point, the next interpolation point and the end point to avoid incomplete interpolation or over interpolation of elliptic trajectories. The proposed schemes feature fewer amounts of calculation and high accuracy and can produce any elliptic trajectories.


2006 ◽  
Vol 18 (5) ◽  
pp. 598-607 ◽  
Author(s):  
Tomoari Maruyama ◽  
◽  
Chunquan Xu ◽  
Aiguo Ming ◽  
Makoto Shimojo

We have developed a golf robot whose swing simulates human motion. The design concept is to realize ultra-high-speed dynamic manipulation using a dexterous mechanism. The robot consists of a shoulder joint with a high-power direct-drive motor and a wrist joint with a low-power direct-drive motor. High-speed golf swings are realized by a sort of motion control, called dynamically-coupled driving which compensates for the lack of drive in the wrist joint. In this paper a new model accounting for golf club flexibility with all parameters identified in experiments was developed. Based on this, we generated and implemented trajectories for different criteria. Experimental results confirmed the high accuracy of motion control and the feasibility of golf club flexibility in ultra-high-speed manipulation.


1996 ◽  
Vol 8 (3) ◽  
pp. 217-217
Author(s):  
Kiyoshi Ohishi ◽  

The special issue on Control Systems in Mechatronics is a significant and timely issue since many robotics and mechatronics engineers now pay attention to the research field of motion control and control theory. In Japan, advanced motion control technology is a key technics to improving the performance of robot systems and/or mechanical automation equipment. The definition of motion control in this issue is the control of mechanical systems driven by electrical actuators such as a do servo motor or an ac servo motor. The means or strategy of motion control has so far been of interest only to electrical engineers and mechanical engineers; it has not been as familiar to robotics engineers. Recently, a control system has been developed with industry applications. Advanced motor control technology in Japan is based on the robust control system, such as the disturbance observer, the H00 control system, the two-degrees-of-freedom control system and so on. The disturbance observer has a simple structure, and it is quite valid for disturbance torque rejection. The robust control system based on the disturbance observer is now widely used in robot and mechanical systems in Japan. The disturbance observer is the original Japanese technology designed by two electrical engineers, Prof. Ohnishi and myself, from the viewpoint of the electrical actuator but control theory. Ho control is linear control technics popular around the world. It can make the desired loop shaping of frequency characteristics for a plant system such as the actuator of a mechanical system. The robust control system based on the mixed sensitivity problem of H00 control theory has good frequency characteristics. Moreover, the availability of large amounts of computational power has enabled us to use complex control theory, and actuators for robotics applications are now mainly electrical ones because of the remarkable progress in power electronics. This change in the control of mechanical systems is a new and attractive one. Motion control is becoming a field of interest to control, electrical, and mechanical engineers who work in robotics. In this issue, the eight papers and the two news reports have been selected to show the current topics concerned with control systems in mechatronics. The first paper is a review paper titled ""robust motion control by the disturbance observer"". Prof. Ohnishi describes the physical meaning of motion control and the purpose of robust control. This review paper also shows the effectiveness of motion control based on the disturbance observer. Four papers in this issue deal with robot motion control systems using the disturbance observer. Mr. Oda explains the decoupling force control method of redundant robot manipulation by workspace disturbance observer which is not a joint space disturbance observer such as an ordinary disturbance observer. Dr. Komada explains the hybrid position/force control method based on second derivatives of position and force, which uses the force-based disturbance observer. Dr. Shimada explains the servo system considering a robot of low stiffness, which is based on the disturbance and velocity observer. This observer is mounted with each joint. Prof. Kuroe explains the decoupling control method of robot manipulation using a variable structure disturbance observer which is not an ordinary linear disturbance observer. The other three papers in this issue deal with robot motion control using the other advanced control system. Prof. Ohishi, myself explains the hybrid position/force control method without a force sensor, which is based on H00 acceleration controller and torque observer. This torque observer is the same observer as the ordinary disturbance observer. Mr. Fujimoto explains the three dimensional digital simulation of legged robots for advanced motion control. Mr. Kang explains the state estimation for mobile robots using a partially observable Markov decision process. This method can estimate the mobile robot state precisely and robustly. The two news reports in this issue deal with control and robot laboratory news from Japanese universities such as news generated by Prof. Hori of the University of Tokyo and Prof. Hori of Mie University. Both Prof. Horis are famous and active researchers in advanced motion control. This issue scans only one aspect of control systems, not the whole. Adaptive control, learning control, and other advanced control methods such as the LMI method are not mentioned. The subject of control systems in mechatronics is now expanding and developing. I greatly appreciate the efforts of the reviewers and authors in producing this issue, and I thank the Chief-Editor, Prof. Toshio Fukuda, for encouraging us to prepare it.


Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2539 ◽  
Author(s):  
Chao Li ◽  
Zhi Zhang ◽  
Guihua Xia ◽  
Xinru Xie ◽  
Qidan Zhu

Learning variable impedance control is a powerful method to improve the performance of force control. However, current methods typically require too many interactions to achieve good performance. Data-inefficiency has limited these methods to learn force-sensitive tasks in real systems. In order to improve the sampling efficiency and decrease the required interactions during the learning process, this paper develops a data-efficient learning variable impedance control method that enables the industrial robots automatically learn to control the contact force in the unstructured environment. To this end, a Gaussian process model is learned as a faithful proxy of the system, which is then used to predict long-term state evolution for internal simulation, allowing for efficient strategy updates. The effects of model bias are reduced effectively by incorporating model uncertainty into long-term planning. Then the impedance profiles are regulated online according to the learned humanlike impedance strategy. In this way, the flexibility and adaptivity of the system could be enhanced. Both simulated and experimental tests have been performed on an industrial manipulator to verify the performance of the proposed method.


2019 ◽  
Vol 256 ◽  
pp. 02010
Author(s):  
Jinxing Yang ◽  
Yinhui Xie ◽  
Mingqi Feng ◽  
Jun Li

Aimed at the situation lack of suitable industrial robots with speed requirement and space limitation, a novel simple structured and high speed dual-arm robot is designed. The robot control system has been achieved by using high speed controller, real-time bus EtherCAT and integrating the sensor system via Ethernet interface. Kinematic and dynamic analysis are the basis of its kinematic control and trajectory planning. This paper presents a force-free control method for direct teaching of the robot and adopts a Cartesian admittance control algorithm to realize human-machine interaction. The admittance control is conducted by utilizing six-dimensional force/torque sensor fixed to the end-effector of manipulator. To evaluate the performance of the proposed controller and control algorithm, a point-to-point teaching task is conducted.


2013 ◽  
Vol 694-697 ◽  
pp. 1771-1778
Author(s):  
Lei Zhang ◽  
Zhuo Wang ◽  
Jin Xin Zhao ◽  
Ying Liu

Both the high speed and the changing excess buoyancy can make it difficult in motion control of AUV, in order to solve the problems, an improved control method based on S-surface control is proposed. Taking static forces and coupling effects between longitude velocity and other dimensions into account, the compensation related to the speed is brought into the method to handle the effects caused by high speed. In accordance with the thoughts of S-surface control, an anti-windup intelligent integral method is presented to handle the changing excess buoyancy and propulsion loss via an adaptive weight determined by estimating the motion states of AUV. Finally, experiments of velocity control, yaw control and depth control are conducted, and the results prove the feasibility and advantages in application to AUV motion control.


2014 ◽  
Vol 599-601 ◽  
pp. 981-984
Author(s):  
Chuan Jun Li ◽  
Qiu Juan Liang

To realize the movement of high-speed, high-precision positioning, satisfy the requirement of the numerical control processing equipment and high precision, based on high performance motion control platform driven by linear motor, an optimized for high performance XY table structure design, the broadband modal coupling modeling and simulation movement, dynamics analysis and controller design, such as content, high performance motion platform organization structure optimization, the global optimization of mechanical system and electrical system. Eventually for high performance sports mechanism design, modeling method and system control method provides the key techniques such as solution, and to develop more high performance motion control of linear motor driven platform prototype machines.


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