Realization of Finishing Cuts Under Changing Machining Conditions by Machining Support Robots

Author(s):  
Tsuginobu Osada ◽  
Ken’ichi Yano ◽  
Mustapha S. Fofana

Finishing processes such as deburring are performed on a wide variety of products in various quantities by workers on a piece-by-piece basis. Accordingly, the accuracy of the product depends on the worker’s skill. The aim of this research is to develop a finish machining support system. The machining is supported by using a haptic device and controlled by a bilateral control system. Here, we propose a control method based on a machining model made up of several components, including tool speed, feed speed of the tool and others, in order to control the robots under conditions in which it is possible to achieve highly accurate machining surfaces. The motion of a slave robot that requires precise control is controlled automatically, and the worker is given the force calculated by this control method. The effectiveness of this system is shown in a machining experiment.

Author(s):  
Tsuginobu Osada ◽  
Ken’ichi Yano ◽  
Norihiko Kato ◽  
Mustapha S. Fofana

Finishing processes such as deburring are performed on a wide variety of products in various quantities by workers on a piece-by-piece basis. Accordingly, the accuracy of the product depends on the worker’s skill. The aim of this research is to develop a finish machining support system. The machining is supported by using a haptic device and controlled by a bilateral control system. Here, we propose a original bilateral controller which have the gain components on the line used to transfer the force signal between master and slave robot. These gains change the binding force between master and slave robot to change the construct of the system. The effectiveness of this system is shown in simulations using haptic device and virtual model of slave robot.


Author(s):  
Tsuginobu Osada ◽  
Norihiko Kato ◽  
Ken’ichi Yano ◽  
Mustapha S. Fofana

Finishing processes such as deburring are performed on a wide variety of products in various quantities by workers on a piece-by-piece basis. Accordingly, the accuracy of the product depends on the worker’s skill. To solve this problem, the bilateral control system is applied to a machining support system. The aim of this research is to develop a machining support system via the bilateral control system which can accept various machining theories and to reflect the operation force into the machining geometry. This system has a construction which makes it possible to change the connecting force between a master and a slave robot based on a symmetrical bilateral controller. This construction is useful to change the feature of a system dynamically according to machining condition. The effect of this system is shown by the experiment results.


2011 ◽  
Vol 138-139 ◽  
pp. 93-98
Author(s):  
Jia Song ◽  
Xiao Qiang Qi

According to the conditions of supercavitating vehicle stable control problems, the massive uncertain factors caused by reactions between the vehicle and cavity, and the control system real-time request, the paper presents a supercavitating vehicle stable navigation least squares support vector multiple intelligent control scheme. The scheme makes full use of the nonlinear mapping ability, self-learning adaptability and parallel information processing of the least squares support vector machine. Combining with fuzzy control method, complementary advantages, the closed-loop control has been formed. The simulation shows that the control system has good adaptive ability and robustness. The supercavitating movement stability and precise control realizes even in the situation that difficult to obtain an accurate model.


Author(s):  
Daiki Sakito ◽  
Yasushi Yasuda ◽  
Tsuginobu Osada ◽  
Ken’ichi Yano

In this paper we address the development of a finish machining support system that can operate without machining mistakes for the limited production of diversified products. The machining is supported by a haptic device. One challenge is that it is necessary to separate the force sensor output that exists in the operation force from the machining influence force. We propose a control method to remove the influence of the rotation tool disturbance force from the operation force by using adaptive modeling, which estimates the force of rotation tool friction torque in the tangential direction of the machining side from the contact force in the normal direction of the machining side. The effectiveness of this research is shown by a machining experiment.


2015 ◽  
Vol 135 (3) ◽  
pp. 268-275 ◽  
Author(s):  
Daisuke Yashiro ◽  
Tadashi Hieno ◽  
Kazuhiro Yubai ◽  
Satoshi Komada

1997 ◽  
Vol 36 (4) ◽  
pp. 135-142 ◽  
Author(s):  
Norihito Tambo ◽  
Yoshihiko Matsui ◽  
Ken-ichi Kurotani ◽  
Masakazu Kubota ◽  
Hirohide Akiyama ◽  
...  

A coagulation process for water purification plants mainly uses feedforward control based on raw water quality and empirical data and requires operator's help. We developed a new floc sensor for measuring floc size in a flush mixer to be used for floc control. A control system using model predictive control was developed on the floc size data. A series of experiments was performed to confirm controllability of settled water quality by controlling flush mixer floc size. An automatic control with feedback from the coagulation process was evaluated as practical and reliable. Finally this new control method was applied for actual plant and evaluated as practical.


Author(s):  
Shihuan Li ◽  
Lei Wang

For L4 and above autonomous driving levels, the automatic control system has been redundantly designed, and a new steering control method based on brake has been proposed; a new dual-track model has been established through multiple driving tests. The axle part of the model was improved, the accuracy of the transfer function of the model was verified again through acceleration-slide tests; a controller based on interference measurement was designed on the basis of the model, and the relationships between the controller parameters was discussed. Through the linearization of the controller, the robustness of uncertain automobile parameters is discussed; the control scheme is tested and verified through group driving test, and the results prove that the accuracy and precision of the controller meet the requirements, the robustness stability is good. Moreover, the predicted value of the model fits well with the actual observation value, the proposal of this method provides a new idea for avoiding car out of control.


Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 65
Author(s):  
Der-Fa Chen ◽  
Shen-Pao-Chi Chiu ◽  
An-Bang Cheng ◽  
Jung-Chu Ting

Electromagnetic actuator systems composed of an induction servo motor (ISM) drive system and a rice milling machine system have widely been used in agricultural applications. In order to achieve a finer control performance, a witty control system using a revised recurrent Jacobi polynomial neural network (RRJPNN) control and two remunerated controls with an altered bat search algorithm (ABSA) method is proposed to control electromagnetic actuator systems. The witty control system with finer learning capability can fulfill the RRJPNN control, which involves an attunement law, two remunerated controls, which have two evaluation laws, and a dominator control. Based on the Lyapunov stability principle, the attunement law in the RRJPNN control and two evaluation laws in the two remunerated controls are derived. Moreover, the ABSA method can acquire the adjustable learning rates to quicken convergence of weights. Finally, the proposed control method exhibits a finer control performance that is confirmed by experimental results.


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