Data input/output control system

1995 ◽  
Vol 9 (3) ◽  
pp. V
Author(s):  
S Masayuk
1987 ◽  
Vol 19 (1) ◽  
pp. 88-97 ◽  
Author(s):  
Levent Onur ◽  
Wolter J. Fabrycky

2011 ◽  
Vol 328-330 ◽  
pp. 2288-2291 ◽  
Author(s):  
Pei Xing Li ◽  
Zhi Jun Sun ◽  
He Lei Zhu ◽  
Yi Ze Sun

In this article, the Control System based on the OMRON CJIM series PLC has been discussed, which meets requirements of the auto-packing pantyhose machine well. The principle and hardware configuration of the Control System were introduced, and the assignment of input/output, control programs as well as Human-machine Interface were designed. Importantly, the speed and quality of the packing of pantyhose were successfully enhanced, so this control system can effectively reduce the human resources.


Author(s):  
Fumie Costen ◽  
Akos Balasko

The computational architecture of Enabling Grids for E-sciencE is introduced as it made our code porting very challenging, and the discussion presented is directly applicable to EGEE users. The final solution to the code poring problem is proposed, and its performance is examined. The solution to this problem be generally faced in the other large scale computation and so is applicable to users of other HPC facilities. This chapter gives a hint to those who have difficulties in applications with heavy data Input/Output (I/O) under the computational environment whose weak point is the data I/O.


2019 ◽  
Vol 9 (2) ◽  
pp. 276 ◽  
Author(s):  
Yugong Luo ◽  
Yun Hu ◽  
Fachao Jiang ◽  
Rui Chen ◽  
Yongsheng Wang

To solve the problems with the existing active fault-tolerant control system, which does not consider the cooperative control of the drive system and steering system or accurately relies on the vehicle model when one or more motors fail, a multi-input and multi-output model-free adaptive active fault-tolerant control method for four-wheel independently driven electric vehicles is proposed. The method, which only uses the input/output data of the vehicle in the control system design, is based on a new dynamic linearization technique with a pseudo-partial derivative, aimed at solving the complex and nonlinear issues of the vehicle model. The desired control objectives can be achieved by the coordinated adaptive fault-tolerant control of the drive and steering systems under different failure conditions of the drive system. The error convergence and input-output boundedness of the control system are proven by means of stability analysis. Finally, simulations and further experiments are carried out to validate the effectiveness and real-time response of the fault-tolerant system in different driving scenarios. The results demonstrate that our proposed approach can maintain the longitudinal speed error (within 3%) and lateral stability, thereby improving the safety of the vehicles.


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