Preliminaries in numerical simulation of isotope separation closed-loop processes

Author(s):  
Diana M. Sas ◽  
Secara Mihai
2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Qixin Zhu ◽  
Hongli Liu ◽  
Yiyi Yin ◽  
Lei Xiong ◽  
Yonghong Zhu

Mechanical resonance is one of the most pervasive problems in servo control. Closed-loop simulations are requisite when the servo control system with high accuracy is designed. The mathematical model of resonance mode must be considered when the closed-loop simulations of servo systems are done. There will be a big difference between the simulation results and the real actualities of servo systems when the resonance mode is not considered in simulations. Firstly, the mathematical model of resonance mode is introduced in this paper. This model can be perceived as a product of a differentiation element and an oscillating element. Secondly, the second-order differentiation element is proposed to simulate the resonant part and the oscillating element is proposed to simulate the antiresonant part. Thirdly, the simulation approach for two resonance modes in servo systems is proposed. Similarly, this approach can be extended to the simulation of three or even more resonances in servo systems. Finally, two numerical simulation examples are given.


2006 ◽  
Vol 126 (9) ◽  
pp. 933-939 ◽  
Author(s):  
Alessandro Liberati ◽  
Tomoyuki Murakami ◽  
Yoshihiro Okuno ◽  
Hiroyuki Yamasaki

2008 ◽  
Vol 163 (1) ◽  
pp. 25-33
Author(s):  
Hidemasa Takana ◽  
Yoshihiro Okuno ◽  
Hiroyuki Yamasaki

2017 ◽  
Vol 40 (10) ◽  
pp. 1453-1462
Author(s):  
Shashi Bajaj Mukherjee ◽  
Debabrata Datta ◽  
Soumyendu Raha ◽  
Debnath Pal

Author(s):  
Mahsan Tavakoli-Kakhki ◽  
Mohammad Saleh Tavazoei

This paper deals with integral based methods to estimate the order and parameters of simple fractional order models from the extracted noisy step response data of a process. This data can be obtained from both open-loop and closed-loop tests. Numerical simulation results are presented to verify the robustness of these proposed methods in the presence of the measurement noise.


2006 ◽  
Vol 34 (6) ◽  
pp. 2669-2677 ◽  
Author(s):  
Alessandro Liberati ◽  
Tomoyuki Murakami ◽  
Yoshihiro Okuno ◽  
Hiroyuki Yamasaki

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