IEEE-1451-based smart module for in-vehicle networking systems of intelligent vehicles
ABSTRACT As vehicles become intelligent for the convenience and safety of drivers, in-vehicle networking (IVN) systems and smart modules are essential components of intelligent vehicles. However, there are obstacles for the wide acceptance of smart modules. First, there exist numerous IVN protocols that a smart module should be able to support. Second, the whole smart module has to be replaced when only the sensor of the module fails. In order to overcome these obstacles, a smart module is implemented as two units; one responsible for network communication and the other for sensor/actuator operations. In addition, the modules use an interface between the two units as defined by the IEEE 1451 standard. This paper presents a design of the smart module based on the IEEE 1451 standard along with the experimental evaluation for time delays.
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ABSTRACT: Industrial network, often referred to as fieldbus, becomes an indispensable component for intelligent manufacturing systems. Thus, in order to satisfy the real-time requirements of field devices such as sensors, actuators, and controllers, numerous fieldbus protocols have been developed. But, the application of fieldbus has been limited due to the high cost of hardware and the difficulty in interfacing with multi-vendor products. As an alternative to fieldbus, the Ethernet (IEEE 802.3) technology is being adapted to the industrial environment. However, the crucial technical obstacle of Ethernet is its non-deterministic behavior that cannot satisfy the real-time requirements. Recently, the EtherCAT protocol becomes a very promising alternative for real-time industrial application due to the elimination of uncertainties in Ethernet. This paper focuses on the implementation of the IEC 61800 based real-time EtherCAT network for multi-axis smart driver. To demonstrate the feasibility of the implemented EtherCAT slave module, its synchronization performance is evaluated on the experimental EtherCAT testbed with a single axis smart driver.Journal of Institute of Control, Robotics and Systems. 02/2011; 17(2).
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ABSTRACT: This paper presents a mathematical model to determine the optimal length of static messages that can achieve more efficient use of a FlexRay network. In order to determine the optimal length of static message, the proposed model evaluates the given set of messages with respect to a network utilization index, which is defined in this work. The efficient use of a FlexRay network is achieved by reallocating any static message whose length is equal or greater than the resulting value to the dynamic segment. The effectiveness of the proposed method is investigated by applying to the SAE benchmark data.Transactions of the Korean Society of Automotive Engineers. 09/2013; 21(5).
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ABSTRACT: In this paper, the system to control the PWM inverter-induction motor drive system including ac current sensors, voltage sensors, and an encoder through the network is developed. Although the network-based control for an induction motor drive system is becoming increasingly important at factory automations, there will inevitably be time delay from the sensors to the motor control system, which may cause the instability. The algorithm to minimize the efforts for network induced time delay of sensor data is proposed, using both the synchronous signal and the method for estimating sensor data. The experiments with DSP are carried out in order to verify proposed algorithms.The Transactions of the Korean Institute of Power Electronics. 01/2006; 11(6).