Communication Module Design for BCM Based on AUTOSAR Specifications

2013 ◽  
Vol 318 ◽  
pp. 76-82
Author(s):  
Li Wei Qi ◽  
Ai Guo Cheng ◽  
Zhi Cheng He
Keyword(s):  
Software Development ◽  
Real Time ◽  
Open Systems ◽  
Design Method ◽  
Hardware In The Loop ◽  
Hierarchical Design ◽  
Communication Services ◽  
Systems Architecture ◽  
Module Design ◽  
Communication Module

Focus on the compatibility problem of the software development, according to the modular and hierarchical design method, the paper researches and designs the communication module of BCM using the design method that based on the Automotive open systems architecture. Finally, the paper builds a network model for the BCM communication module using the software of CANoe, and to verify the performance of the communication module that designed for the BCM, a hardware-in-the-loop test is conducted through introducing the true BCM, and the results obtained in this test indicate that the communication module designed in this paper can provide a dependable and real-time communication services for the BCM, and the design method can improve the compatibility of the software.

scholarly journals Learning Feedforward Control Using Multiagent Control Approach for Motion Control Systems

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 420
Author(s):  
Phong B. Dao
Keyword(s):  
Real Time ◽  
Feedforward Control ◽  
Design Method ◽  
Mechatronic Systems ◽  
Control Approach ◽  
Runtime Environment ◽  
Multiagent Control ◽  
On Line ◽  
Promising Solution ◽  
Function Approximator

Multiagent control system (MACS) has become a promising solution for solving complex control problems. Using the advantages of MACS-based design approaches, a novel solution for advanced control of mechatronic systems has been developed in this paper. The study has aimed at integrating learning control into MACS. Specifically, learning feedforward control (LFFC) is implemented as a pattern for incorporation in MACS. The major novelty of this work is that the feedback control part is realized in a real-time periodic MACS, while the LFFC algorithm is done on-line, asynchronously, and in a separate non-real-time aperiodic MACS. As a result, a MACS-based LFFC design method has been developed. A second-order B-spline neural network (BSN) is used as a function approximator for LFFC whose input-output mapping can be adapted during control and is intended to become equal to the inverse model of the plant. To provide real-time features for the MACS-based LFFC system, the open robot control software (OROCOS) has been employed as development and runtime environment. A case study using a simulated linear motor in the presence of nonlinear cogging and friction force as well as mass variations is used to illustrate the proposed method. A MACS-based LFFC system has been designed and implemented for the simulated plant. The system consists of a setpoint generator, a feedback controller, and a time-index LFFC that can learn on-line. Simulation results have demonstrated the applicability of the design method.

Software Design Method for Small Real Time Systems Using Modified Pro-Nets

1992 ◽  
Vol 25 (25) ◽  
pp. 263-265
Author(s):  
B.R. Andrievsky ◽  
A.A. Vasiljev ◽  
V.N. Utkin
Keyword(s):  
Real Time ◽  
Software Design ◽  
Design Method ◽  
Real Time Systems ◽  
Time Systems

XERIS/APEX

2021 ◽  
Vol 40 (2) ◽  
pp. 65-69
Author(s):  
Richard Wai
Keyword(s):  
Distributed Systems ◽  
Real Time ◽  
Distributed System ◽  
Dynamic Scaling ◽  
Distributed Application ◽  
Heavy Weight ◽  
System Models ◽  
In The Wild ◽  
On Line ◽  
Language Technologies

Modern day cloud native applications have become broadly representative of distributed systems in the wild. However, unlike traditional distributed system models with conceptually static designs, cloud-native systems emphasize dynamic scaling and on-line iteration (CI/CD). Cloud-native systems tend to be architected around a networked collection of distinct programs ("microservices") that can be added, removed, and updated in real-time. Typically, distinct containerized programs constitute individual microservices that then communicate among the larger distributed application through heavy-weight protocols. Common communication stacks exchange JSON or XML objects over HTTP, via TCP/TLS, and incur significant overhead, particularly when using small size message sizes. Additionally, interpreted/JIT/VM-based languages such as Javascript (NodeJS/Deno), Java, and Python are dominant in modern microservice programs. These language technologies, along with the high-overhead messaging, can impose superlinear cost increases (hardware demands) on scale-out, particularly towards hyperscale and/or with latency-sensitive workloads.

Language constructs for real-time distributed systems

1982 ◽  
Vol 7 (1) ◽  
pp. 11-20 ◽  
Author(s):  
D.M. Berry ◽  
C. Ghezzi ◽  
D. Mandrioli ◽  
F. Tisato
Keyword(s):  
Distributed Systems ◽  
Real Time ◽  
Language Constructs
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