EDP: A Wireless Network Control System Energy-Efficient Real-Time Task Scheduling Algorithm

2015 ◽  
Author(s):  
Qiang Lin ◽  
Guowei Wu ◽  
Qing Liu
Keyword(s):  
Control System ◽  
Real Time ◽  
Wireless Network ◽  
Task Scheduling ◽  
Energy Efficient ◽  
Scheduling Algorithm ◽  
Network Control ◽  
Network Control System ◽  
Task Scheduling Algorithm ◽  
System Energy

scholarly journals Optimization of Multi-Intelligent Robot Control System Based on Wireless Communication Network

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bin Li
Keyword(s):  
Control System ◽  
Remote Control ◽  
Motion Planning ◽  
Real Time ◽  
Wireless Network ◽  
Pid Controller ◽  
Network Control ◽  
Robot Arm ◽  
Network Control System ◽  
The Real

The robot is a very complex multi-input multioutput nonlinear system. It has time-varying, strong coupling, and nonlinear dynamic characteristics, and its control is very complicated. Due to the inaccuracy of measurement and modeling, coupled with changes in the load and the influence of external disturbances, it is actually impossible to obtain an accurate and complete dynamic model of the robot. We must face the existence of various uncertain factors of the robot. This paper analyzes the real-time communication protocol in the wireless network control system and confirms that the main way to improve the real-time performance of the wireless network control system is to implement the real-time media access control (MAC) protocol. This paper studies robots from the perspective of control and mainly discusses how to use artificial immune algorithms to design robust nonlinear proportion integral derivative (PID) controllers. A nonlinear PID controller is used to replace the classic PID controller. The nonlinear link can be adjusted with the change of the error, so as to achieve the purpose of improving the adaptability and robustness to obtain satisfactory tracking performance. We carried out selective compliance assembly robot arm (SCARA) robot remote control experiment, dual robot following experiment, SCARA and ABB robot collisionless motion planning experiment, and multirobot intelligent collaborative assembly experiment. The experimental results show that the C/S mode remote control system has good practicability and can complete remote tasks; the P2P communication system has good information transmission effects and can realize real-time information sharing between robots; the collision-free motion planning algorithm enables the dual robots to complete obstacle avoidance tasks well in complex operating environments; the functional modules of the system can closely cooperate to complete the tasks in coordination, and the multirobot system has a certain degree of intelligence.

Design of Networked Control System of Vehicle Body Based on Hybrid Scheduling Algorithm

2014 ◽  
Vol 898 ◽  
pp. 887-891
Author(s):  
Yu Zhu ◽  
Shun Yue Wang ◽  
Yu Qiao ◽  
Tian Hao Wang ◽  
Jun Dong Zhang ◽  
...  
Keyword(s):  
Control System ◽  
Information Transmission ◽  
Real Time ◽  
Scheduling Algorithm ◽  
Networked Control System ◽  
Network Control ◽  
The Body ◽  
Vehicle Body ◽  
Network Control System ◽  
Hybrid Scheduling

Along with the body control system is becoming more intelligent, making the body network scale and the communication load increase dramatically, transmission delay of information in the body network is increasing obvious, greatly reduces the system's real-time performance and reliability. Based on the analysis of body network communication needs, we design the reasonable body CAN network topology structure. According to the characteristics of information transmission of the body network control system, designed a hybrid scheduling algorithm is applied to the body network control system, and is verified by experiments on the performance. Experimental results show that the design method of body network system can effectively guarantee the real-time and feasibility of information transmission, and optimized the body network control system as a whole.

Evaluation of a flexible task scheduling algorithm for distributed hard real-time systems

1985 ◽  
Vol C-34 (12) ◽  
pp. 1130-1143 ◽  
Author(s):  
John A. Stankovic ◽  
Krithivasan Ramamritham ◽  
Shengchang Cheng
Keyword(s):  
Real Time ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Real Time Systems ◽  
Task Scheduling Algorithm ◽  
Hard Real Time ◽  
Time Systems
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