Designing Time Delay Compensation Methods for Functional Modes Using Sensory Evaluation

2015 ◽  
Vol 135 (7) ◽  
pp. 755-764 ◽  
Author(s):  
Shuhei Shimizu ◽  
Yoshiki Ohno ◽  
Takahiro Nozaki ◽  
Kouhei Ohnishi
Keyword(s):  
Time Delay ◽  
Sensory Evaluation ◽  
Delay Compensation ◽  
Compensation Methods ◽  
Time Delay Compensation

Simulation Research on Networked Control System Based on NS-2

2012 ◽  
Vol 490-495 ◽  
pp. 608-612
Author(s):  
Xiao Hui Zhang ◽  
Mu Li ◽  
Na Li
Keyword(s):  
Time Delay ◽  
Data Transmission ◽  
Networked Control System ◽  
Network Control ◽  
Delay Compensation ◽  
Simulation Research ◽  
Compensation Methods ◽  
Environment Simulation ◽  
Network Transmission ◽  
Time Delay Compensation

A key issue in NCS is network transmission. In the research of network control, in some special fields, the system performance could be evaluated based on the real-time character of data transmission in the LAN, but the result gotten in this kind of method isn’t representative. In this paper, a simulation model is firstly established via the NS-2 software under research of network transmission, and then the interval segmentation time-delay and the constant time-delay compensation methods of network control are investigated under this environment. Simulation result validates the effectiveness of the model.

scholarly journals Comprehensive Control of Networked Control Systems with Multistep Delay

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Jie Jiang ◽  
Changlin Ma
Keyword(s):  
Time Delay ◽  
Control Systems ◽  
Networked Control Systems ◽  
Sampling Period ◽  
Networked Control ◽  
Control Methods ◽  
Delay Compensation ◽  
Linear Quadratic ◽  
Long Time ◽  
Time Delay Compensation

In networked control systems with multi-step delay, long time-delay causes vacant sampling and controller design difficulty. In order to solve the above problems, comprehensive control methods are proposed in this paper. Time-delay compensation control and linear-quadratic-Guassian (LQG) optimal control are adopted and the systems switch different controllers between two different states. LQG optimal controller is used with probability1-αin normal state, which is shown to render the systems mean square exponentially stable. Time-delay compensation controller is used with probabilityαin abnormal state to compensate vacant sampling and long time-delay. In addition, a buffer window is established at the actuator of the systems to store some history control inputs which are used to estimate the control state of present sampling period under the vacant sampling cases. The comprehensive control methods simplify control design which is easier to be implemented in engineering. The performance of the systems is also improved. Simulation results verify the validity of the proposed theory.

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