Research on the Mixed Scheduling Algorithm of Networked Control System Based on CAN Bus

2012 ◽  
Vol 588-589 ◽  
pp. 1581-1584
Author(s):  
Zai Ping Chen ◽  
Fang Fang Yang
Keyword(s):  
Control System ◽  
Can Bus ◽  
Scheduling Algorithm ◽  
Networked Control System ◽  
Networked Control ◽  
Scheduling Problem ◽  
Control Loops ◽  
Message Scheduling ◽  
Network Utilization

CAN-based message scheduling problem is illustrated in detail in the thesis, the merit and demerit of the typical dynamic (EDF) and static RM) scheduling algorithm and the influence on NCS performance are analyzed. A kind of MTS is put forward, through setting up a NCS3 (containing 3 control loops). With the TrueTime toolbox simulation, the improvement on NCS performance is confirmed, and the Network utilization is improved.

Research on the Switch Scheduling Algorithm of Networked Control System

2012 ◽  
Vol 433-440 ◽  
pp. 3553-3559 ◽  
Author(s):  
Qing Quan Cui ◽  
Ya Hui Wang ◽  
Dong Wei ◽  
Shao Jun Zhang
Keyword(s):  
Control System ◽  
Data Transmission ◽  
Scheduling Algorithm ◽  
Scheduling Algorithms ◽  
Networked Control System ◽  
Networked Control ◽  
System Stability ◽  
Network Utilization ◽  
Schedule Performance ◽  
Shared Network

Networked Control System is the focus of current research in control field, and the use of a shared network introduces new challenges, therefore, it is significant to research scheduling algorithms for improving the control and schedule performance of NCS. In the paper, according to the challenges existing in scheduling algorithms, a new scheduling algorithm called Switch scheduling is proposed, and the calculation method of switching conditions is also given. In the proposed algorithm, network-induced delay and network utilization are considered to satisfy the different network condition with appropriate scheduling algorithm. The proposed algorithm improves the network utilization and the efficiency of data transmission, and guarantees the system stability. Finally, a simulation example is conducted to validate the feasibility and superiority of the proposed switch scheduling.

Deadband feedback-based scheduling approach for networked control system with variable sampling period

2021 ◽  
pp. 014233122098142
Author(s):  
Zhongda Tian
Keyword(s):  
Control System ◽  
Sampling Period ◽  
Networked Control System ◽  
Networked Control ◽  
Control Performance ◽  
Control Loops ◽  
Network Bandwidth ◽  
Network Utilization ◽  
Variable Sampling ◽  
Overall Performance

Reasonable information scheduling strategies in the networked control system (NCS) can improve the quality of service of the network, reduce the conflict of information transmission in the network, and improve the overall performance of the NCS. In order to improve the performance of the NCS, a deadband feedback-based scheduling approach for the NCS with a variable sampling period is proposed. For the NCS with multi control loops, considering the limitation of network bandwidth resources, the dynamic real-time adjustment of a multi-loop sampling period is achieved through network utilization prediction, network bandwidth configuration and sampling period calculation. Furthermore, deadband feedback scheduling is combined with a variable sampling period algorithm. Deadband is set in the sensor and controller nodes to effectively adjust the information flow of the forward channel and the feedback channel. The proposed scheduling approach can reduce the impact of network conflict and network delay on system stability, make the network resources allocated reasonably, save network data traffic, and improve the overall performance of the NCS. A NCS with five control loops is used as the simulation object and carried out by True Time toolbox. The simulation results show that the proposed scheduling approach can improve output control performance of the system, reduce integral absolute error value of the control loops, and improve network utilization. The overall control performance of the system is improved.

Optimal Co-Design of Control Algorithm and Bandwidth Scheduling for Networked Control Systems

2011 ◽  
Vol 314-316 ◽  
pp. 2124-2131
Author(s):  
Rong Chen
Keyword(s):  
Control System ◽  
Networked Control Systems ◽  
Scheduling Algorithm ◽  
Continuous System ◽  
Networked Control System ◽  
Networked Control ◽  
Bandwidth Utilization ◽  
Loop Control ◽  
Integrated Simulation ◽  
Bandwidth Scheduling

The performance of Networked Control System (NCS) is not only determined by controller, but also by network QoS. In this paper, aiming at the bandwidth scheduling problem of multiple closed loop control system, an approximate linear function of continuous system performance with delay and sample period is proposed firstly, and then the optimal scheduling algorithm under both non-preemptive rate monotonic (NPRM) schedulability constraint and NCS stability constraint is proposed which is to optimize the overall performance of NCS. Moreover, an algorithm of sample periods harmonization is presented to improve the bandwidth utilization. A reservation-based schedule of non-period data is also taken into account. Finally, an integrated simulation platform based on Truetime is present, and the experimental results show that the scheme is more effective than the former ones.

Scheduling method for networked control system with resource constraints based on fuzzy feedback priority and variable sampling period

2016 ◽  
Vol 40 (4) ◽  
pp. 1136-1149 ◽  
Author(s):  
Tian Zhongda ◽  
Li Shujiang ◽  
Wang Yanhong ◽  
Wang Xiangdong
Keyword(s):  
Control System ◽  
Data Transmission ◽  
Resource Constraints ◽  
Sampling Period ◽  
Networked Control System ◽  
Networked Control ◽  
Control Loop ◽  
Network Utilization ◽  
Variable Sampling ◽  
Scheduling Method

A scheduling method based on fuzzy feedback priority and variable sampling period for a networked control system with resource constraints is proposed in this paper. Firstly, each control loop weight is adjusted dynamically according to a control loop data transmission error through a quadratic square root mapping function. A different weight is given for each loop. A fuzzy feedback priority scheduling strategy is designed combined with dynamic weight, system output and system output error rate. The priority of each control loop is adjusted dynamically. Then, considering the current network status, the new network utilization is predicted through proportional control. A least-squares support vector machine (LSSVM) algorithm is used for controlled loop packet transmission time prediction. A variable sampling period for each control loop is determined by using a controlled loop dynamic weight, network utilization and data transmission time. Finally, a fuzzy feedback priority scheduler and variable sampling period scheduler are combined. The merits of the two schedulers are utilized to achieve the optimization goal. A simulation experiment is carried out using the True Time toolbox. Simulation results show that the scheduling method can make the network utilization rate converge to the desired value under resource constraints, improve the output response performance of the control loop, reduce the integral absolute error value of the control loop and decrease the data transmission time of the control loop. The networked control system performance is improved and the scheduling method of this paper is effective.

Modeling and Stability Analysis of Multi-Rate Networked Control Systems with Multiple Control Loops

2010 ◽  
Vol 139-141 ◽  
pp. 1827-1833 ◽  
Author(s):  
Dian Ting Liu ◽  
De Jian Zhou ◽  
Yao Ming Liu
Keyword(s):  
Control System ◽  
Networked Control Systems ◽  
Sampling Period ◽  
Networked Control System ◽  
Network Control ◽  
Networked Control ◽  
Control Loop ◽  
Multiple Control ◽  
Control Loops ◽  
Analysis And Design

A kind of multi-input and multi-output network control system with multiple independent control loops is examined in this paper. The controller of each control loop is connected with the sensor and actuator by a network and each control loop has a different sampling period. The whole mathematical model of this kind of networked control system is set up when the maximum network-induced delay is smaller than one sampling period. And the sufficient condition subject to the asymptotic stability of this kind of networked control system is derived based on the theorem for estimation of feature value deduced from perturbation theory. The research results of this paper have significance in the analysis and design of this kind of networked control system or a similar networked control system.

The Experimental Platform Design for NCS Based on CAN Bus

2015 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Zhao Weiquan ◽  
Yuan Huaqiang ◽  
Wei Xiaorui
Keyword(s):  
Control System ◽  
System Performance ◽  
Can Bus ◽  
Scheduling Algorithm ◽  
Performance Testing ◽  
Networked Control System ◽  
Master Node ◽  
Algorithm Performance ◽  
Experimental Platform ◽  
Experiment Platform

In order to facilitate research on the performance of Networked Control System, overcome the defects of unable to reflect the system performance, based on the CAN bus a kind of NCS experimental platform is designed. The system is composed of a main node and several slave nodes and Dc motor as the actuator. The master node is designed with ARM + U-boot + Linux structure, connecting with PC via Ethernet. For this experiment platform, using c + + Builder a scheduling algorithm performance testing software is developed, to further research on the effects of different scheduling algorithm on the NCS performance.

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