scholarly journals Real-Time Scheduling Method for Middleware of Industrial Automation Devices

Author(s):  
Hong Seong Park
2013 ◽  
Vol 52 (4) ◽  
pp. 934-946
Author(s):  
Si-Yeong Lim ◽  
You-Jin Park ◽  
Hyun Lee ◽  
Sun Hur

2014 ◽  
Vol 12 (3) ◽  
pp. 227-235
Author(s):  
Yongho Kang ◽  
Kimoon Keum ◽  
Seongjong Kim ◽  
Kwangyoun Jin ◽  
Jooman Kim

Author(s):  
Koji Iwamura ◽  
Hitoshi Hayashi ◽  
Yoshitaka Tanimizu ◽  
Nobuhiro Sugimura

A real-time scheduling method considering human operators has been proposed to generate suitable production schedules for human operators, manufacturing equipment and jobs real-timely in the autonomous distributed manufacturing systems (ADMSs). The proposed scheduling method gives the higher priorities to the human operators, and generates the production schedules based on preference values, in order to improve the human operator’s motivation. It was shown, through case studies, that the proposed real-time scheduling method is effective to satisfy the preferences of the human operators. However, the make span is deteriorated especially for the cases where the human operators have similar preferences. Therefore, a new method is proposed to calculate the preference values considering not only the preferences of human operators but also improvement of productivity.


2015 ◽  
Vol 799-800 ◽  
pp. 1045-1048
Author(s):  
Lu Ping Luo ◽  
Chao Yuan ◽  
Gang Xue ◽  
Mei Zhi Yang ◽  
Xue Wei Zhang

An approach of energy minimization in humanoid robots is proposed in our paper. The techniques of dynamic power management method and real-time scheduling method are combined to be used in the humanoid robots. The common components of humanoid robots are motors, sensors, computers and controllers and so on which are electronic systems, and humanoid robots are real-time systems. Therefore, the dynamic power management method is used to dynamically adjust power state of components adaptive to the task’s need to reduce energy consumption, and the real-time scheduling method is applied to schedule multiple tasks and meet the deadlines. Through simulation of the humanoid robot developed by our lab, the feasibility of our method is proved.


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