Loading [MathJax]/extensions/TeX/ieeemacros.js
Design of A Nonlinear Discrete Communication Network Vehicle Control System Based on DSP Active Queue Management | IEEE Conference Publication | IEEE Xplore

Design of A Nonlinear Discrete Communication Network Vehicle Control System Based on DSP Active Queue Management


Abstract:

A new continuous approximate control method is proposed for nonlinear discrete vehicle communication control system based on active DSP sequence. The initial optimal cont...Show More

Abstract:

A new continuous approximate control method is proposed for nonlinear discrete vehicle communication control system based on active DSP sequence. The initial optimal control of vehicle coupling is a set of non-uniform optimization rules of linear problems. It consists of precise linear feedback and nonlinear time compensation, which limits the coherence of the resolution of the conjugate vector equation. In order to obtain the best classification of vehicle communication commands, the simulation example finally shows the effectiveness of continuous approximation.
Date of Conference: 16-18 June 2023
Date Added to IEEE Xplore: 07 August 2023
ISBN Information:
Conference Location: Chongqing, China
References is not available for this document.

I. Introduction

At present, the development of electric vehicle networking is highly valued by all countries [1] . The interconnection between electric vehicles has become the main direction of future automobile development [2] . There are many electrical components in electric vehicles. A large amount of data must be transmitted and transmitted in real time. How to improve the real-time communication, reliability and emergency response of electric vehicles has become a problem in the research of electric vehicle communication [3] . DSP TMS320F28335 is the central processor of vehicle electronic communication system. We use good DSP fast processing ability to improve data processing speed. In order to improve real-time communication, the CAN module integrated in DSP is used for control, so as to reduce the complexity of hardware circuit and improve communication reliability [4] . This module can improve the emergency response capability of electric vehicles.

Select All
1.
C Dong, H Wang and D Ni, "Impact Evaluation of Cyber-Attacks on Traffic Flow of Connected and Automated Vehicles", IEEE Access, vol. 8, pp. 86824-86835, 2020.
2.
K Abboud, H Omar and W Zhuang, "Interworking of DSRC and Cellular Network Technologies for V2X Communications: A Survey", IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 9457-9470, 2016.
3.
Miad Faezipour, Mehrdad Nourani, Adnan Saeed and Sateesh Addepalli, "Progress and challenges in intelligent vehicl earea networks", Communications of the ACM, vol. 2, no. 12, pp. 32-37, 2012.
4.
P. Liu, "A New Approximation Congestion Controller for Multiplayer Networked Control Systems with Time Delay", Journal of Computational Information Systems, vol. 6, no. 11, pp. 3725-3730, 2019.
5.
Van X. Thai, Gi C. Jang and Seog Y. Jeong, "Symmetric Sensing Coil Design for the Blind-Zone Free Metal Object Detection of a Stationary Wireless Electric Vehicles Charger", Measurement, vol. 35, no. 4, pp. 3466-3477, 2020.
6.
Chen Hao, Qian Zhongnan and Zhang Ruoqi, "Modular Four-Channel 50 kW WPT System With Decoupled Coil Design for Fast EV Charging", IEEE Access, vol. 9, pp. 136083-136093, 2021.
7.
R-D Hofheinz, S Lorenzen and J Trojan, "EVITA-a double-blind vehicle-controlled randomized phase II trial of vitamin K1 cream as prophylaxis for cetuximab-induced skin toxicity", Annals of Oncology, vol. 29, pp. 1010-1015, 2018.
8.
H Rahimi-Eichi, U Ojha and F Baronti, "Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles", IEEE Industrial Electronics Magazine, vol. 7, no. 2, pp. 4-16, 2013.
9.
P. Liu, "A New Congestion Controller for Multilayer Networked Control Systems with persistent Disturbances", Key Engineering Materials, vol. 439–440, no. 5, pp. 805-810, 2015.
10.
Yi Liu, Xingliang Yuan and Zehui Xiong, "Federated Learning for 6G Communications: Challenges Methods and Future Directions", China Communications, vol. 17, no. 9, pp. 105-118, 2020.
11.
P. Liu, "A New Decision-Making for Nonlinear Input-Output Systems with Persistent Disturbances", Proceeding of 2010 International Conference on the Development of Educational Science and Computer Technology (Page: 442 Year of Publication: 2010 ISBN: 978-988-18242-3-3).
12.
H. Tong and P. Liu, "Study on the Congestion Controller for Time-Delay Networked Control Systems with External Disturbances", International Journal on Smart Sensing and Intelligent Systems, vol. 5, no. 4, pp. 859-878, 2018.
13.
G. Y. Tang, N. Xie and P. Liu, "Sensitivity Approach to Optimal Control for Affine Nonlinear Discrete-time Systems", Asia Journal of Control, vol. 7, no. 4, pp. 448-454, 2015.
14.
P. Liu, "An Approximate Discrete Controller for Networked Control Systems with Time Delay", Journal of Computational Information Systems, vol. 4, no. 5, pp. 1955-1959, 2018.
15.
P. Liu, "A New Congestion Control Algorithm of CDMA Systems", Advanced Materials Research, vol. 255, no. 11, pp. 2220-2223, 2021.

References

References is not available for this document.