Self-tuning control scheme of non-uniformly sampled data systems with time delay and unknown colored noise

Author(s):  
Hongwei Wang ◽  
Hao Xia
2020 ◽  
Vol 374 ◽  
pp. 125041 ◽  
Author(s):  
Hong-Bing Zeng ◽  
Zheng-Liang Zhai ◽  
Yong He ◽  
Kok-Lay Teo ◽  
Wei Wang
Keyword(s):  

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Katarzyna Adamiak

The paper addresses the problem of chattering elimination in sliding mode control for sampled data dynamical systems and proposes an innovative control scheme. The key to the proposed control method is utilizing a pregenerated nonswitching type reference sliding variable profile to control the disturbed plant. As sampled data systems contain sample-and-hold devices in their input and output channels, we carry out a discrete time analysis. We consider the discretization effects on the controller in two aspects: the pace of convergence of the system and the ultimate band width. Consequently, in the reference sliding variable generator, we analyse two reaching laws, differently adapting to changes of the controller’s frequency. We prove that this approach not only minimizes the chattering phenomenon but also provides a reduction of the quasi-sliding mode band width, which in general case remains of O(T) order. Furthermore, the proposed control method incorporates a disturbance compensation algorithm, which results in the ultimate band width of O(T2) order. Finally, we also show that a certain selection of the sliding plane guarantees limitation of all the state variables’ errors to O(T2) order as well. Therefore, the proposed control algorithm significantly improves the system’s robustness.


2013 ◽  
Vol 19 (3) ◽  
pp. 222-234 ◽  
Author(s):  
B.P. Lampe ◽  
E.N. Rosenwasser

2008 ◽  
Vol 2008 ◽  
pp. 1-15 ◽  
Author(s):  
F. Ricardo García ◽  
Baltazar Aguirre ◽  
Rodolfo Suárez

We consider one-dimensional, time-invariant sampled-data linear systems with constant feedback gain, an arbitrary fixed time delay, which is a multiple of the sampling period and a zero-order hold for reconstructing the sampled signal of the system in the feedback control. We obtain sufficient conditions on the coefficients of the characteristic polynomial associated with the system. We get these conditions by finding both lower and upper bounds on the coefficients. These conditions let us give both an estimation of the maximum value of the sampling period and an interval on the controller gain that guarantees the stabilization of the system.


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