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.

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.

Simulation of Fault Detection in the Wireless Networked Control System

2013 ◽  
Vol 846-847 ◽  
pp. 778-781
Author(s):  
Hong Liang Guo ◽  
Shao Ying Kong
Keyword(s):  
Control System ◽  
Time Delay ◽  
Fault Detection ◽  
Wireless Network ◽  
Detection Method ◽  
State Space Model ◽  
Failure Detection ◽  
Networked Control System ◽  
Network Control ◽  
Network Control System

Wireless network control system is characterized by high uncertain delay time, thus the state of the system can not be fully observed. The fault characteristic is interfered by time delay so to be unstable, leading inaccurate fault detection. Traditional fault detection method of wireless network control system is usually based on the characteristics of the stability of the network status data. If the network has time delay fluctuations, it is unable to obtain accurate fault detection results. This paper presents a stochastic delay fault detection method. It builds a state space model of the system, analyzes the delay vector between the sensor end of the system and the controller end, depending on the delay residual signal of the system and the corresponding evaluation function to obtain the system failure detection result. The final simulation result shows that this method has high accuracy in the detection of Stability and randomness of the wireless network fault detection. Thus it is an effective wireless network control system fault detection method.

Research on Network Control System Using Improved EDF Dynamic Scheduling Algorithm

2011 ◽  
Vol 403-408 ◽  
pp. 2420-2423 ◽  
Author(s):  
Zai Ping Chen ◽  
Hong Qiao Xu
Keyword(s):  
Control System ◽  
Dynamic Scheduling ◽  
Scheduling Algorithm ◽  
Transmission Error ◽  
Network Control ◽  
Network Control System ◽  
Scheduling Strategy ◽  
Task Priority ◽  
True Time ◽  
Change Task

In this paper classic static and dynamic scheduling strategy is analyzed first, and then communication network of schedule ability judgment basis is given. An improved dynamic EDF scheduling algorithm is proposed in order to improve the scheduling task of real-time. The scheduling strategy is to change task priority according to the transmission error over deadline task when applying dynamic EDF scheduling strategy. True Time tool is used to build CAN network control system simulation platform. Dynamic EDF scheduling algorithm and improved scheduling algorithm are simulated respectively. The effectiveness of improved scheduling algorithm is verified by the simulation Keywords-Network control system; Scheduling Algorithm; True Time toolbox result.

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.

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