Embedded architecture description language

Li, Juncao; Pilkington, Nicholas T.; Xie, Fei; Liu, Qiang

doi:10.1016/j.jss.2009.09.043

Cited by 10 publications

(4 citation statements)

References 24 publications

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“…Power and performance constraints of embedded systems require that hardware and software closely interact and the trade-off between hardware and software be effectively exploited. This requires co-verification [5]. That is, embedded system is very close to hardware resources and operation environment.…”

Section: Embedded Systemmentioning

confidence: 99%

A Design of Software Quality Model for Embedded System

Jeong

Kim

2012

AMM

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This research aims to make a quality model for embedded system to consider special environment such as the development of adaptation with each system unit, work of interface between the units, and so on. For this process, we extract the attributes to fit on embedded system from DeLone and McLean’s IS model. Their model is not for embedded system but for information system. Therefore we delete and insert some attributes to correspond embedded system functions from their model. The proposed model has three qualities; system quality, information quality and operation quality in system design part, and we make the quality model to consider the relation of influence with each other.

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Section: Embedded Systemmentioning

confidence: 99%

A Design of Software Quality Model for Embedded System

Jeong

Kim

2012

AMM

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“…In this paper, component-based models are built to illuminate what a hardware module is composed of [5] [6]. Every functional component in the hardware module is built as a component-based model, and the relationships between the component-based modules are defined as interfaces [7] [8].…”

Section: Component-based Modelmentioning

confidence: 99%

Component-Based Model for Simulating the MMU CoProcessor

Zhang

Yang

Desheng

2010

2010 2nd International Conference on Information Engineering and Computer Science

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Embedded system is pervasive in software engineering and building a correct and stable model of a hardware module is important for developing embedded software. In this paper, we present an approach to build component-base models for simulating the MMU, which includes loading instructions, reading data and writing data. The component-based models raise the abstraction of the MMU architecture and principles. Interfaces for each model are defined to simulate MMU when the CPU fetches instructions and accesses data. The case study has demonstrated that the component-based models can be successfully applied to simulate the MMU.

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“…Owing to the current trend in exploiting open embedded platforms as main controllers in robot control applications [19][20][21], we developed a low-cost, real-time EtherCAT controller based on an open embedded hardware: i.MX6Q SABRELite [22]. However, the software development on these platforms is more difficult in contrast to commercial distributions owing to the limited availability of systematic documentation and technical support [23,24]. Although manufacturers provide software sources such as the Linux kernel, compatibility with the other software and patches is also a concern.…”

Section: Introductionmentioning

confidence: 99%

Network-Oriented Real-Time Embedded System Considering Synchronous Joint Space Motion for an Omnidirectional Mobile Robot

Delgado

Choi

2019

Electronics

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This paper proposes a real-time embedded system for joint space control of omnidirectional mobile robots. Actuators driving an omnidirectional mobile robot are connected in a line topology which requires synchronization to move simultaneously in translation and rotation. We employ EtherCAT, a real-time Ethernet network, to control servo controllers for the mobile robot. The first part of this study focuses on the design of a low-cost embedded system utilizing an open-source EtherCAT master. Although satisfying real-time constraints is critical, a desired trajectory on the center of the mobile robot should be decomposed into the joint space to drive the servo controllers. For the center of the robot, a convolution-based path planner and a corresponding joint space control algorithm are presented considering its physical limits. To avoid obstacles that introduce geometric constraints on the curved path, a trajectory generation algorithm considering high curvature turning points is adapted for an omnidirectional mobile robot. Tracking a high curvature path increases mathematical complexity, which requires precise synchronization between the actuators of the mobile robot. An improvement of the distributed clock—the synchronization mechanism of EtherCAT for slaves—is presented and applied to the joint controllers of the mobile robot. The local time of the EtherCAT master is dynamically adjusted according to the drift of the reference slave, which minimizes the synchronization error between each joint. Experiments are conducted on our own developed four-wheeled omnidirectional mobile robot. The experiment results confirm that the proposed system is very effective in real-time control applications for precise motion control of the robot even for tracking high curvature paths.

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Embedded architecture description language

Abstract: In the state-of-the-art hardware/software (HW/SW) component-based co-design, cosimulation, co-verification, and system synthesis.

Cited by 10 publications

References 24 publications

A Design of Software Quality Model for Embedded System

A Design of Software Quality Model for Embedded System

Component-Based Model for Simulating the MMU CoProcessor

Network-Oriented Real-Time Embedded System Considering Synchronous Joint Space Motion for an Omnidirectional Mobile Robot

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