Robust simultaneous optimal design of structure and control for a wire bonding force control system

Author(s):  
L Fang ◽  
Y H Yin ◽  
Z N Chen

This paper presents a novel methodology for a wire bonding force control system based on robust simultaneous optimal design of structure and control system. By this approach, overshoot of bonding force and effects of fluctuation of system parameters can be dealt with to fulfill the requirement of advanced wire bonding system. The first step is to investigate the close loop of wire bonding force control system. Next step, a robust optimization model and a performance index combined the overshoot and fluctuations of bonding force are presented. The third step is to optimize these parameters of controller and structure simultaneously to achieve the high-performance control system of the wire bonding force. Sensitivity analysis and genetic search algorithm are adopted to solve the optimization model. The experiments show that it is an effective way to design high-performance wire bonding force control system.

2014 ◽  
Vol 703 ◽  
pp. 250-253 ◽  
Author(s):  
Yi Chen Liu ◽  
Huang Qiu Zhu ◽  
Li Dong Zhu

A bearingless brushless DC motor is a new type of high performance motor, which integrates the function of magnetic bearings into a brushless DC motor. In this paper, the suspension force control system is improved and optimization designed according to the radial suspension force mathematical model. The bearingless brushless DC motor control system model is established with the aid of Matlab/Simulink software. From the simulation results, it is confirmed that the rotor shaft is stably suspended without the mechanical contacts. The proposed suspension control system is found suitable to realize the stable suspension of the rotor in the bearingless brushless DC motor.


2014 ◽  
Vol 61 (2) ◽  
pp. 994-1008 ◽  
Author(s):  
Thao Tran Phuong ◽  
Kiyoshi Ohishi ◽  
Yuki Yokokura ◽  
Chowarit Mitsantisuk

Author(s):  
K. Shibazaki ◽  
H. Nozaki

In this study, in order to improve steering stability during turning, we devised an inner and outer wheel driving force control system that is based on the steering angle and steering angular velocity, and verified its effectiveness via running tests. In the driving force control system based on steering angle, the inner wheel driving force is weakened in proportion to the steering angle during a turn, and the difference in driving force is applied to the inner and outer wheels by strengthening the outer wheel driving force. In the driving force control (based on steering angular velocity), the value obtained by multiplying the driving force constant and the steering angular velocity,  that differentiates the driver steering input during turning output as the driving force of the inner and outer wheels. By controlling the driving force of the inner and outer wheels, it reduces the maximum steering angle by 40 deg and it became possible to improve the cornering marginal performance and improve the steering stability at the J-turn. In the pylon slalom it reduces the maximum steering angle by 45 deg and it became possible to improve the responsiveness of the vehicle. Control by steering angle is effective during steady turning, while control by steering angular velocity is effective during sharp turning. The inner and outer wheel driving force control are expected to further improve steering stability.


2021 ◽  
Vol 21 (2) ◽  
pp. 1-22
Author(s):  
Chen Zhang ◽  
Zhuo Tang ◽  
Kenli Li ◽  
Jianzhong Yang ◽  
Li Yang

Installing a six-dimensional force/torque sensor on an industrial arm for force feedback is a common robotic force control strategy. However, because of the high price of force/torque sensors and the closedness of an industrial robot control system, this method is not convenient for industrial mass production applications. Various types of data generated by industrial robots during the polishing process can be saved, transmitted, and applied, benefiting from the growth of the industrial internet of things (IIoT). Therefore, we propose a constant force control system that combines an industrial robot control system and industrial robot offline programming software for a polishing robot based on IIoT time series data. The system mainly consists of four parts, which can achieve constant force polishing of industrial robots in mass production. (1) Data collection module. Install a six-dimensional force/torque sensor at a manipulator and collect the robot data (current series data, etc.) and sensor data (force/torque series data). (2) Data analysis module. Establish a relationship model based on variant long short-term memory which we propose between current time series data of the polishing manipulator and data of the force sensor. (3) Data prediction module. A large number of sensorless polishing robots of the same type can utilize that model to predict force time series. (4) Trajectory optimization module. The polishing trajectories can be adjusted according to the prediction sequences. The experiments verified that the relational model we proposed has an accurate prediction, small error, and a manipulator taking advantage of this method has a better polishing effect.


2006 ◽  
Vol 55 (5) ◽  
pp. 1725-1733 ◽  
Author(s):  
P.G. Papageorgas ◽  
D. Maroulis ◽  
G. Anagnostopoulos ◽  
H. Albrecht ◽  
B. Wagner ◽  
...  

2015 ◽  
Author(s):  
Shengdong Feng ◽  
Xiaojun Liu ◽  
Liangzhou Chen ◽  
Liping Zhou ◽  
Wenlong Lu

2017 ◽  
Vol 89 (6) ◽  
pp. 791-796
Author(s):  
Yasser A. Nogoud ◽  
Attie Jonker ◽  
Shuhaimi Mansor ◽  
A.A.A. Abuelnuor

Purpose This paper aims to propose a spreadsheet method for modeling and simulation of a retraction system mechanism for the retractable self-launching system for a high-performance glider. Design/methodology/approach More precisely, the method is based on parametric link design using Excel spreadsheets. Findings This method can be used for kinematic and dynamic analysis, graphical plotting and allows simulation of control kinematics with the ability to make quick and easy parametric changes to a design. It also has the ability to calculate the loads imposed on each component in the control system as a function of input loads and position. Practical implications This paper shows that it is possible to model complex control systems quickly and easily using spreadsheet programs already owned by most small companies. The spreadsheet model is a parametric model, and it gives a simple visual presentation of the control system with interactive movement and control by the user. Originality/value This spreadsheet model in conjunction with a simple CAD program enables the rapid and cost-effective development of control system components.


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