Automatic Equipment Design of Intelligent Manufacturing Flexible Production Line Based on Industrial Motorized Spindle

2022 ◽  
Vol 15 (2) ◽  
pp. 1-13
Author(s):  
Runqin He
Keyword(s):  
Pid Control ◽  
Production Line ◽  
Intelligent Manufacturing ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Motorized Spindle ◽  
Automatic Equipment ◽  
Automatic Production ◽  
Control Scheme ◽  
Automatic Production Line

Based on the previous research on the production line automation, this paper carries out further research and further design and development on the basis of the original production line automation equipment. In this paper, the overall design of the automatic production line is carried out, and the various systems in the automatic production line are optimized, and the backward instruments are eliminated, and then some more advanced and convenient instruments are applied. Then, the hardware and software of the automatic production line are studied respectively, and the human-computer interaction module and real-time main control circuit module are re developed, and the electric shaft is applied to the automatic production line. Finally, the fuzzy PID controller of the stepping motor is designed. The experiment shows that the fuzzy PID control scheme is better than the traditional PID control scheme. After the rationalization of the system, the quality robustness of proactive planning is improved obviously. Then, the temperature of motorized spindle was tested.

Study of Tobacco-Redrying System Based on Fuzzy PID Control

2012 ◽  
Vol 220-223 ◽  
pp. 1240-1243
Author(s):  
Yu Yu Zhu ◽  
Ya Jun Zhou
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Fuzzy Inference ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Scheme ◽  
Simulation Results ◽  
Performance Target

The process of tobacco-redrying has the characteristics of lagging, uncertainty and being nonlinear, so it is unable to satisfy every performance target only by using the traditional PID controlling method. In response to this reality, this paper, by using the fuzzy inference ability of fuzzy control, proposes a fuzzy PID based control scheme to achieve the online adjustment of the PID parameters in tobacco-redrying process and to make them in the required range. Simulation results show that the controller can effectively control the process of tobacco-redrying.

Design of PLC Control System in Automatic Production Line for Casing Fin Tube

2014 ◽  
Vol 971-973 ◽  
pp. 1176-1179
Author(s):  
Zhe Xu ◽  
Qing Yi He ◽  
Xiang Shi
Keyword(s):  
Production Line ◽  
Finned Tube ◽  
Raw Material ◽  
Motor Drive ◽  
Tube Production ◽  
Automatic Production ◽  
Plc Control ◽  
Control Scheme ◽  
Automatic Production Line ◽  
Fin Tube

Finned tube is a kind of highly efficient heat exchange component, widely used in heat exchanger. In order to improve the automation level of finned tube production line, this paper, according to the composition of finned tube production line and the function of each part, designed the control scheme of the production line, including motor drive technology, hydraulics technology, PLC control technology etc. The control scheme makes raw material of aluminum sheet feeding, punching, shearing, winged, tube expanding process to form a whole, which improved the efficiency of the production line and the processing precision.

scholarly journals Novel hybrid fuzzy-PID control scheme for air supply in PEM fuel-cell-based systems

2017 ◽  
Vol 42 (15) ◽  
pp. 10435-10447 ◽  
Author(s):  
Zakaria Baroud ◽  
Mohammed Benmiloud ◽  
Atallah Benalia ◽  
Carlos Ocampo-Martinez
Keyword(s):  
Fuel Cell ◽  
Pid Control ◽  
Pem Fuel Cell ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Air Supply ◽  
Control Scheme ◽  
Hybrid Fuzzy Pid

scholarly journals Fuzzy PID Feedback Control of Piezoelectric Actuator with Feedforward Compensation

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Ziqiang Chi ◽  
Minping Jia ◽  
Qingsong Xu
Keyword(s):  
Feedback Control ◽  
Piezoelectric Actuator ◽  
Pid Control ◽  
Feedforward Control ◽  
Comparative Investigation ◽  
Preisach Model ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Scheme ◽  
Feedforward Controller

Piezoelectric actuator is widely used in the field of micro/nanopositioning. However, piezoelectric hysteresis introduces nonlinearity to the system, which is the major obstacle to achieve a precise positioning. In this paper, the Preisach model is employed to describe the hysteresis characteristic of piezoelectric actuator and an inverse Preisach model is developed to construct a feedforward controller. Considering that the analytical expression of inverse Preisach model is difficult to derive and not suitable for practical application, a digital inverse model is established based on the input and output data of a piezoelectric actuator. Moreover, to mitigate the compensation error of the feedforward control, a feedback control scheme is implemented using different types of control algorithms in terms of PID control, fuzzy control, and fuzzy PID control. Extensive simulation studies are carried out using the three kinds of control systems. Comparative investigation reveals that the fuzzy PID control system with feedforward compensation is capable of providing quicker response and better control accuracy than the other two ones. It provides a promising way of precision control for piezoelectric actuator.

Continuous automatic production line for porcelain plates

1969 ◽  
Vol 26 (6) ◽  
pp. 356-357
Author(s):  
I. I. Moroz ◽  
M. G. Sivchikova ◽  
G. G. Sarkisov ◽  
L. L. Oleinik
Keyword(s):  
Production Line ◽  
Automatic Production ◽  
Automatic Production Line
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