scholarly journals Sliding mode control of biogas production by anaerobic digestion with addition of acetate

2019 ◽  
Vol 93 ◽  
pp. 03002
Author(s):  
Plamena Zlateva
Keyword(s):  
Anaerobic Digestion ◽  
Sliding Mode Control ◽  
Expert Knowledge ◽  
Sliding Mode ◽  
Biogas Production ◽  
External Disturbance ◽  
Control Input ◽  
State Variables ◽  
Mode Control ◽  
And Control

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.

scholarly journals Synchronization of a Non-Equilibrium Four-Dimensional Chaotic System Using a Disturbance-Observer-Based Adaptive Terminal Sliding Mode Control Method

Entropy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 271 ◽  
Author(s):  
Shaojie Wang ◽  
Amin Yousefpour ◽  
Abdullahi Yusuf ◽  
Hadi Jahanshahi ◽  
Raúl Alcaraz ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Chaotic System ◽  
Disturbance Observer ◽  
Sliding Mode ◽  
Input Saturation ◽  
Control Input ◽  
Terminal Sliding Mode Control ◽  
Terminal Sliding Mode ◽  
Mode Control ◽  
And Control

In this paper, dynamical behavior and synchronization of a non-equilibrium four-dimensional chaotic system are studied. The system only includes one constant term and has hidden attractors. Some dynamical features of the governing system, such as invariance and symmetry, the existence of attractors and dissipativity, chaotic flow with a plane of equilibria, and offset boosting of the chaotic attractor, are stated and discussed and a new disturbance-observer-based adaptive terminal sliding mode control (ATSMC) method with input saturation is proposed for the control and synchronization of the chaotic system. To deal with unexpected noises, an extended Kalman filter (EKF) is implemented along with the designed controller. Through the concept of Lyapunov stability, the proposed control technique guarantees the finite time convergence of the uncertain system in the presence of disturbances and control input limits. Furthermore, to decrease the chattering phenomena, a genetic algorithm is used to optimize the controller parameters. Finally, numerical simulations are presented to demonstrate the performance of the designed control scheme in the presence of noise, disturbances, and control input saturation.

scholarly journals A modified sliding mode control of a nonlinear methane fermentation process

2020 ◽  
Vol 167 ◽  
pp. 05007
Author(s):  
Plamena Zlateva
Keyword(s):  
Sliding Mode Control ◽  
Fermentation Process ◽  
Sliding Mode ◽  
Biogas Production ◽  
Nonlinear Differential Equations ◽  
Control Input ◽  
Methane Fermentation ◽  
Mode Control ◽  
Output Stabilization ◽  
Binary Control

A continuous methane fermentation process for biogas production is considered. This biogas production process is described by a system of two nonlinear differential equations and one nonlinear algebraic equation. The paper purpose is to propose an approach for designing a modified sliding mode control (so-called binary control) of a nonlinear methane fermentation process. The control design is carried out with direct use of nonlinear model and on-line measurement for two variables only (the concentration of the organic pollutants and biogas production rate). The model of the sliding mode control is developed with respect to an auxiliary input variable in order to obtain the smooth signal of the dilution rate, which is need in the fermentation processes. The state variables, external disturbance, process output and control input are varied in the known intervals. The asymptotic output stabilization problem is solved. The good system robustness with the designed modified sliding mode control (the binary control) about various disturbances is proved through simulation investigations in MATLAB using Simulink.

scholarly journals Output Feedback Tracking Sliding Mode Control for Systems with State- and Input-Dependent Disturbances

Actuators ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 117
Author(s):  
Yi-Liang Yeh
Keyword(s):  
Sliding Mode Control ◽  
Output Feedback ◽  
Sliding Mode ◽  
Estimation Error ◽  
External Disturbance ◽  
Control Input ◽  
System State ◽  
Control Approach ◽  
Mode Control ◽  
Feedback Tracking

In this paper, output feedback tracking sliding mode control was considered for uncertain multivariable linear systems. The uncertainties included external disturbance, the system state, and control input. A new property of the loop transfer recovery (LTR) observer was first established: the state estimation error of the LTR observer can be made arbitrarily small with respect to state- and input-dependent system uncertainties. Observer-based output feedback tracking sliding mode control using the LTR observer is presented. The proposed sliding mode control approach can maintain the boundedness of the system state and drive the system outputs arbitrarily close to the desired reference outputs; the degree of closeness was determined by a design parameter in the LTR observer. In the proposed approach, the most general and simple observer-based output feedback control formulation was used to achieve global tracking. Simulations with a two-degree-of-freedom (DOF) robotic manipulator application illustrated the claimed properties, and a peaking and chattering reduction technique was demonstrated to protect the actuator.

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