Network Optimization of X-by-Wire System Based on FlexRay Bus

2015 ◽  
Vol 734 ◽  
pp. 220-223
Author(s):  
Fang Li ◽  
Li Fang Wang ◽  
Cheng Lin Liao
Keyword(s):  
Control System ◽  
Real Time ◽  
Optimization Algorithm ◽  
Network Optimization ◽  
Algorithm Design ◽  
Network Control ◽  
Task Graph ◽  
Task Execution ◽  
Time Performance ◽  
Wire System

X-by-Wire system is a typical automotive network control system. The control of x-by-wire system depends on communication network (like CAN, TTCAN or FlexRay), it must meet not only the control performance, but also the real-time performance and reliability requirement. Network optimization in x-by-wire system is great significant for achieving these targets. In this paper, first task graph was designed for the x-by-wire system, and different control links were distinguished from the task graph. Then the network optimization algorithm was designed to implement message slot arrangement coordinated with task execution time in the control links, and the principle of the network optimization algorithm design is reducing the control link response time for the best effort. Through a typical car x-by-wire control system, we can see that the network optimization algorithm research has important guidance for the optimization of the system message transmission, and can improve the system's real-time performance.

scholarly journals A New Method of Applying Data Engine Technology to Realize Neural Network Control

Algorithms ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 97
Author(s):  
Song Zheng ◽  
Chao Bi ◽  
Yilin Song
Keyword(s):  
Neural Network ◽  
Control System ◽  
Real Time ◽  
Control Algorithm ◽  
Network Control ◽  
Neural Network Control ◽  
Hybrid Controller ◽  
Advanced Control ◽  
Real Time Database ◽  
And Control

This paper presents a novel diagonal recurrent neural network hybrid controller based on the shared memory of real-time database structure. The controller uses Data Engine (DE) technology, through the establishment of a unified and standardized software architecture and real-time database in different control stations, effectively solves many problems caused by technical standard, communication protocol, and programming language in actual industrial application: the advanced control algorithm and control system co-debugging difficulties, algorithm implementation and update inefficiency, and high development and operation and maintenance costs effectively fill the current technical gap. More importantly, the control algorithm development uses a unified visual graphics configuration programming environment, effectively solving the problem of integrated control of heterogeneous devices; and has the advantages of intuitive configuration and transparent data processing process, reducing the difficulty of the advanced control algorithms debugging in engineering applications. In this paper, the application of a neural network hybrid controller based on DE in motor speed measurement and control system shows that the system has excellent control characteristics and anti-disturbance ability, and provides an integrated method for neural network control algorithm in a practical industrial control system, which is the major contribution of this article.

Controller Design for Network Control System Based on Gray Prediction

2013 ◽  
Vol 340 ◽  
pp. 489-492
Author(s):  
Xin Lan Guo ◽  
Yan Xia Li ◽  
Tao Li
Keyword(s):  
Control System ◽  
Lyapunov Function ◽  
Real Time ◽  
Controller Design ◽  
Network Control ◽  
Necessary Condition ◽  
Sample Period ◽  
Gray Prediction ◽  
Controller Gain ◽  
Controlled Object

This paper models the controlled object with varying sample period by using predicted delay as sample period based on model and proves a necessary condition for making the system stable using Lyapunov function, then obtain the real-time controller gain in every step with LMI. The three cases illustrate the correctness and validity of the proposed method.

Research on Real-Time Performance of the Distributed Control System Based on RTLinux

2014 ◽  
Vol 945-949 ◽  
pp. 1372-1375
Author(s):  
Peng Zhang ◽  
Qin Guo ◽  
Bin Wang
Keyword(s):  
Control System ◽  
Real Time ◽  
Robot Control ◽  
Real Time Control ◽  
Control Effect ◽  
The Real ◽  
Time Performance ◽  
Time Control ◽  
Testing Experiment ◽  
Time Systems

Through the analysis of RTLinux source code and real-time performance of various testing experiment on the RTLinux, and its application in a distributed robot control system using CAN bus, realize the real-time control of robot joints. Write the code of real-time module on RTLinux, analyzing the real-time performance using related kernel time testing function. Under Linux using QT write user interface for robot control, running on the Linux user space. The interface program and the real-time program communicate via RT-FIFO. Specify the location of each robot joint in the interface program, compared with the feedback from the actual joint position trajectory, evaluate the control effect of real-time systems.

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.

Development of Phosphate Dosing Control System Based on ADAM 6050 and WebAccess

2012 ◽  
Vol 549 ◽  
pp. 519-522
Author(s):  
Yu Chun Li ◽  
Ya Jiang ◽  
Heng Zheng ◽  
Xiao Wei Liu
Keyword(s):  
Control System ◽  
Power Plant ◽  
Real Time ◽  
Practical Application ◽  
Time Performance ◽  
Device Type ◽  
Fossil Power Plant

Automatic supervision of chemical dosing system was developed in fossil power plant by use of ADAM 6050 module and Advantech WebAccess. Communication configuration must be accorded with Bus protocol and device type; the system is confirmed to achieve stability and real-time performance after practical application.

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