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.

A Scheduler Design for Coordinating Network Control System Load with Redundancy

2014 ◽  
Vol 898 ◽  
pp. 624-628
Author(s):  
Zheng Fu Peng ◽  
Wei Huang ◽  
Juan Liu ◽  
Yue Yue Lv
Keyword(s):  
Control System ◽  
Real Time ◽  
Resource Scheduling ◽  
Network Control ◽  
Network Control System ◽  
Network Resource ◽  
Real Time Scheduling ◽  
Quality Of Control ◽  
Network Load

For a network control system (NCS) with redundancy structure, this paper designs a network scheduler, which can coordinate network load and support redundancy to enhance system availability, safety and reliability. Considering the Quality of Service (QoS) and the Quality of Control (QoC) to constitute the objective function of network resources scheduling, the scheduler uses fuzzy system to establish the network resource scheduling strategy, which dynamically decides communication channels of network control loops by calculating online and real-time scheduling. The scheduler can improve real-time performance and availability of the NCS, and quickly switch redundancy network under fault conditions to ensure reliability of the NCS. At last, the experiment results demonstrate that the proposed scheduler meets the requirements of the resource scheduling and redundancy network, and can effectively improve the performance of the NCS when network load increases.

Promising designs multipurpose cultivator to slopes with automatic corrected biometric control system lateral stability

2015 ◽  
Vol 5 (2) ◽  
pp. 158-165
Author(s):  
Туровский ◽  
Yaroslav Turovskiy ◽  
Кургалин ◽  
Sergey Kurgalin ◽  
Лысыч ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Control System ◽  
Real Time ◽  
Network Control ◽  
Lateral Stability ◽  
Neural Network Control ◽  
Network Control System ◽  
Unit Operator

The authors propose the concept of a control system based on the creation of avated biometric corrected neural network control system implemented on the basis tillage machines and tractors unit capable to function effectively within the system.For this approach, it is planned to develop a software system that provides for tracking the behavior of machine and tractor unit operator in real time. The resulting data will be fed to the input of artificial neural networks of different topologies.

Applied-Information Technology in Network Control System under the VB-Matlab Integration Environment

2014 ◽  
Vol 540 ◽  
pp. 385-389
Author(s):  
Zhong Shi Zhang ◽  
Li Xia Fu ◽  
Yong Zhang ◽  
Jian Lin Mao
Keyword(s):  
Control System ◽  
Real Time ◽  
Inverted Pendulum ◽  
Data Communication ◽  
Network Control ◽  
Network Environment ◽  
Network Control System ◽  
Time Data ◽  
Multiple Variables ◽  
Controlled Object

In order to get better effect to control the controlled object with uncertainty, non-linear and Multiple variables in the network environment,we designed the Network Control System in this paper which is based on Interface Programming between Matlab and VB.By using the Winsock of VB in network environment, the data can communicate between control system and controlled object under TCP-IP protocol,the data communication which is between VB and Matlab is depended on ActiveX in control system. In this paper,we take a linear inverted pendulum experiment with linear quadratic optimal level control for example in a network environment. the results show that the system can be stable and reliable on real-time object inverted pendulum control,The system has a certain reference value for factory equipment real-time data transferring and monitoring.

Sign in / Sign up

Export Citation Format

Share Document