Application Model in AUTOSAR Software Development for Control Systems Design Through Fuzzy Methods

被引:0
|
作者
Spirleanu, Cristian [1 ]
Diaconescu, Eugen [2 ]
机构
[1] Inst Solid Mech, Bucharest, Romania
[2] Univ Pitesti, Pitesti, Romania
来源
30TH SIAR INTERNATIONAL CONGRESS OF AUTOMOTIVE AND TRANSPORT ENGINEERING: SCIENCE AND MANAGEMENT OF AUTOMOTIVE AND TRANSPORTATION ENGINEERING | 2020年
关键词
AUTOSAR; Fuzzy control; CVT; ECU; Software component; VFB;
D O I
10.1007/978-3-030-32564-0_59
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The paper is related to some aspects of the AUTOSAR standard application in software design and development of CVT type powertrain transmission control system in a vehicle. To overpass the difficulties generated by the powerfull non-linear characteristics of the process and of the involved components, a fuzzy methods approach by using AUTOSAR methodology was proposed. In this context, there are presented the structure and the rule base of the proposed fuzzy regulator model, the software components modelling by using the artext language in ARTOP environment and their connections to virtual functional bus VFB of CVT-ECU. It is also presented the SWC-CVT components interaction with others ECU that are connected to the same Ethernet or CAN communication bus through hardware communication abstractization. This approach leads to control algorithms design simplicity and flexibility of software development process ensured by the Autosar standard.
引用
收藏
页码:508 / 517
页数:10
相关论文
共 50 条
  • [1] Model-Based Software Development - Autocode to Autosar
    Patel, Keyur R.
    2022 IEEE/AIAA TRANSPORTATION ELECTRIFICATION CONFERENCE AND ELECTRIC AIRCRAFT TECHNOLOGIES SYMPOSIUM (ITEC+EATS 2022), 2022, : 534 - 539
  • [2] Design and Implementation of a Dynamic Component Model for Federated AUTOSAR Systems
    Ni, Ze
    Kobetski, Avenir
    Axelsson, Jakob
    2014 51ST ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2014,
  • [3] A software development system for fuzzy control
    Yang, L
    Guo, YK
    Huang, X
    ROBOTICA, 2000, 18 : 375 - 380
  • [4] Fuzzy Control of Software Systems: A Case Study
    Yang Qiliang
    Li Juelong
    Xing Jianchun
    Wang Ping
    2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 2952 - 2957
  • [5] A survey on analysis and design of model-based fuzzy control systems
    Feng, Gang
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (05) : 676 - 697
  • [6] PI predictive fuzzy controllers for electrical drive speed control: methods and software for stable development
    Precup, RE
    Preitl, S
    Faur, G
    COMPUTERS IN INDUSTRY, 2003, 52 (03) : 253 - 270
  • [7] INDUSTRIAL APPLICATION CONTROL WITH FUZZY SYSTEMS
    Lugli, Alexandre Baratella
    Neto, Egidio Raimundo
    Carvalho Henriques, Joao Paulo
    Arambulo Hervas, Maureen Daniela
    Dias Santos, Max Mauro
    Justo, Joao Francisco
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2016, 12 (02): : 665 - 676
  • [8] Fuzzy control design for nonlinear systems
    Chen, Song-Shyong
    Wu, Jenq-Lang
    Chang, Yuan-Chang
    Su, Shun-Feng
    2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 2007, : 1320 - 1325
  • [9] Design and Simulation of Fuzzy Control in Network Control Systems
    Ghodrati, Mojtaba
    Sahab, Alireza
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2018, 18 (09): : 1 - 11
  • [10] Development and application of a gradient descent method in adaptive model reference fuzzy control
    Naman, AT
    Abdulmuin, MZ
    Arof, H
    IEEE 2000 TENCON PROCEEDINGS, VOLS I-III: INTELLIGENT SYSTEMS AND TECHNOLOGIES FOR THE NEW MILLENNIUM, 2000, : B358 - B363