Identification of dual-rate sampled systems with time delay subject to load disturbance

2017 ◽  
Vol 11 (9) ◽  
pp. 1404-1413 ◽  
Author(s):  
Shijian Dong ◽  
Tao Liu ◽  
Qing-Guo Wang
Keyword(s):  
Time Delay ◽  
Load Disturbance ◽  
Sampled Systems

Recursive estimation of time delay in sampled systems

Automatica ◽  
1991 ◽  
Vol 27 (4) ◽  
pp. 653-661 ◽  
Author(s):  
G. Ferretti ◽  
C. Maffezzoni ◽  
R. Scattolini
Keyword(s):  
Time Delay ◽  
Recursive Estimation ◽  
Sampled Systems ◽  
Estimation Of Time

Limiting zeros of sampled systems with time delay

2015 ◽  
Vol 76 (8) ◽  
pp. 1327-1346 ◽  
Author(s):  
V. A. Bondarko
Keyword(s):  
Time Delay ◽  
Sampled Systems

scholarly journals Multi-innovation based Identification of Output Error Model with Time Delay under Load Disturbance

2018 ◽  
Vol 51 (21) ◽  
pp. 224-228 ◽  
Author(s):  
Jun Du ◽  
Shijian Dong ◽  
Tao Liu ◽  
Jun Zhao
Keyword(s):  
Time Delay ◽  
Error Model ◽  
Output Error ◽  
Load Disturbance

Cascade controllers design based on model matching in frequency domain for stable and integrating processes with time delay

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohd Atif Siddiqui ◽  
Md Nishat Anwar ◽  
Shahedul Haque Laskar
Keyword(s):  
Time Delay ◽  
Frequency Domain ◽  
Disturbance Rejection ◽  
Low Frequency ◽  
Cascade Control ◽  
Model Matching ◽  
Content Type ◽  
Proportional Integral ◽  
Load Disturbance ◽  
Wide Range

Purpose This paper aims to present an efficient and simplified proportional-integral/proportional-integral and derivative controller design method for the higher-order stable and integrating processes with time delay in the cascade control structure (CCS). Design/methodology/approach Two approaches based on model matching in the frequency domain have been proposed for tuning the controllers of the CCS. The first approach is based on achieving the desired load disturbance rejection performance, whereas the second approach is proposed to achieve the desired setpoint performance. In both the approaches, matching between the desired model and the closed-loop system with the controller is done at a low-frequency point. Model matching at low-frequency points yields a linear algebraic equation and the solution to these equations yields the controller parameters. Findings Simulations have been conducted on several examples covering high order stable, integrating, double integrating processes with time delay and nonlinear continuous stirred tank reactor. The performance of the proposed scheme has been compared with recently reported work having modified cascade control configurations, sliding mode control, model predictive control and fractional order control. The performance of both the proposed schemes is either better or comparable with the recently reported methods. However, the proposed method based on desired load disturbance rejection performance outperforms among all these schemes. Originality/value The main advantages of the proposed approaches are that they are directly applicable to any order processes, as they are free from time delay approximation and plant order reduction. In addition to this, the proposed schemes are capable of handling a wide range of different dynamical processes in a unified way.

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