scholarly journals Constraining State Variables and Control Signal via Sliding Mode Control Approach

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 111475-111481 ◽  
Author(s):  
Marek Jaskula ◽  
Piotr Lesniewski
2019 ◽  
Vol 93 ◽  
pp. 03002
Author(s):  
Plamena Zlateva

Biogas production by anaerobic digestion with addition of acetate is considered. Sliding mode control for regulation of the biogas flow rate using the addition of acetate as a control action is proposed. The control design is carried out with direct use of nonlinear model and expert knowledge. Chattering phenomena are avoided by realizing the sliding mode with respect to the control input derivative. The state variables, external disturbance, process output and control input are varied in the known intervals. The performance of the designed sliding mode control is investigated by varying the process set point and the uncertain process parameter, which reflecting the influence of the external disturbance. The excellent performance of presented control is proved through simulation investigations in MATLAB using Simulink.


2019 ◽  
Vol 52 (7-8) ◽  
pp. 832-843
Author(s):  
Majid Yarahmadi ◽  
Zahra Tavanaei Sereshki

In this paper, a new hybrid robust tracking control for an underwater vehicle in dive plane via [Formula: see text] method and time-variant sliding mode control is designed. The proposed controller is composed of two control signals. One control signal is designed via time-variant sliding function based on time-variant rejection parameter, and the other control signal is designed based on [Formula: see text] control approach. The underwater vehicle dynamics are nonlinear uncertain dynamical equation with unknown external disturbances. Therefore, in this paper, an observation of the external disturbance with a time-variant gain parameter is designed. The proposed method eliminates the effects of uncertainties and chattering phenomenon. Also, the time-variant sliding function filters all the unmodeled frequencies and external noises, such as a chain of [Formula: see text] first-order adaptive low-pass filters. A new theorem, for facilitating the presented method, is proved. Finally, two examples for demonstrating the advantages of the proposed method are simulated.


2020 ◽  
Vol 53 (2) ◽  
pp. 8860-8865
Author(s):  
Yuankang Zhu ◽  
Liuping Wang ◽  
Jyoti Mishra

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