Enacting objects for plant-wide HARD real-time online distributed control system (P-hard-RODCS): Oosim

2002 ◽  
Author(s):  
N.C. Low ◽  
K.T. Ng
Keyword(s):  
Control System ◽  
Real Time ◽  
Distributed Control ◽  
Distributed Control System ◽  
System P ◽  
Hard Real Time

INTELLECTUALIZATION OF MECHATRONIC MODULES

2020 ◽  
pp. 56-62
Author(s):  
V.A. Kokovin
Keyword(s):  
Control System ◽  
Real Time ◽  
Distributed Control ◽  
Functional Network ◽  
Distributed Control System ◽  
Industrial Automation ◽  
Iec 61499 ◽  
Network Component

The paper discusses the interaction of mechatronic devices in real time through events and messages. The approach to the development of a distributed control system for mechatronic devices based on the IEC 61499 standard is analyzed. The analysis of the use of IoT, IoRT in industrial automation is given, the advantages and features of using these network components are considered. The concept of a Functional Network Component and the requirements for it are given.

Fuzzy-Neural Petri Net Distributed Control System Using Hybrid Wireless Sensor Network and CAN Fieldbus

2016 ◽  
Vol 12 (1) ◽  
pp. 54-70
Author(s):  
Ali Abed ◽  
Abduladhem Ali ◽  
Nauman Aslam ◽  
Ali Marhoon
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Distributed Control ◽  
Petri Net ◽  
Wireless Sensor ◽  
Distributed Control System ◽  
Sensor Actuator ◽  
Fuzzy Neural

The reluctance of industry to allow wireless paths to be incorporated in process control loops has limited the potential applications and benefits of wireless systems. The challenge is to maintain the performance of a control loop, which is degraded by slow data rates and delays in a wireless path. To overcome these challenges, this paper presents an application–level design for a wireless sensor/actuator network (WSAN) based on the “automated architecture”. The resulting WSAN system is used in the developing of a wireless distributed control system (WDCS). The implementation of our wireless system involves the building of a wireless sensor network (WSN) for data acquisition and controller area network (CAN) protocol fieldbus system for plant actuation. The sensor/actuator system is controlled by an intelligent digital control algorithm that involves a controller developed with velocity PID-like Fuzzy Neural Petri Net (FNPN) system. This control system satisfies two important real-time requirements: bumpless transfer and anti-windup, which are needed when manual/auto operating aspect is adopted in the system. The intelligent controller is learned by a learning algorithm based on back-propagation. The concept of petri net is used in the development of FNN to get a correlation between the error at the input of the controller and the number of rules of the fuzzy-neural controller leading to a reduction in the number of active rules. The resultant controller is called robust fuzzy neural petri net (RFNPN) controller which is created as a software model developed with MATLAB. The developed concepts were evaluated through simulations as well validated by real-time experiments that used a plant system with a water bath to satisfy a temperature control. The effect of disturbance is also studied to prove the system's robustness.

scholarly journals Research on Safe Communication Architecture for Real-Time Ethernet Distributed Control System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 89821-89832
Author(s):  
Zhengyu Huang ◽  
Xianliang Jiang ◽  
Lingyu Chen ◽  
Dapeng Fan
Keyword(s):  
Control System ◽  
Real Time ◽  
Distributed Control ◽  
Distributed Control System ◽  
Communication Architecture

Research on Distributed Multi-Axis Motion Control System Based on CANopen

2013 ◽  
Vol 579-580 ◽  
pp. 680-685
Author(s):  
Guang You Yang ◽  
Zong Mei Tang ◽  
Zhi Yan Ma
Keyword(s):  
Control System ◽  
Real Time ◽  
Motion Control ◽  
Distributed Control ◽  
Modular Design ◽  
Protocol Stack ◽  
Distributed Control System ◽  
Software Module ◽  
Motion Control System ◽  
Control Requirement

The 32-bit ARM Cortex-M3 core processor Stm32f107vc which integrates two sets of bxCAN interfaces is used as hardware platform to achieve the design of hardware module and software module in this paper. Firstly, real-time multi-tasking operating system μCOS-II is ported to stm32 processor, then open source protocol stack microCANopen which is high real-time and reliable is transplanted under the μCOS-II, so a design of CANopen slave station is achieved. The CAN analyzer which is equipped with monitor trace functionality is used as CANopen master station to start the network, with three CANopen slave stations and one HMI, a distributed multi-axis motion control system based on CANopen which achieves network management and synchronous transmission of data in distributed control system is designed. On above basis, Fuji ALPHA5 Smart servo is used as executive member, modular design of reconfigurable motion control algorithm is realized, furthermore, The flexible module configuration enables the designer to develop systems conveniently according to the change of control requirement and network topology. This distributed control system not only has good real-time performance and stability, but also can reduce the complexity, enhance the flexibility of control system and save cost.

Sign in / Sign up

Export Citation Format

Share Document