scholarly journals System uncertainties estimation based adaptive robust backstepping control for DC DC buck converter

2021 ◽  
Vol 11 (1) ◽  
pp. 347
Author(s):  
Ali Hussien Mary ◽  
Abbas Hussien Miry ◽  
Mohammed Hussein Miry
Keyword(s):  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
External Disturbance ◽  
Input Voltage ◽  
Load Resistance ◽  
Backstepping Control ◽  
Buck Converter ◽  
Adaptive Estimator ◽  
Mode Control

This paper proposed a novel adaptive robust backstepping control scheme for DC-DC buck converter subjected to external disturbance and system uncertainty. Uncertainty in the load resistance and the input voltage represent the big challenge in buck converter control. In this work, an adaptive estimator for matched and mismatched uncertainties based backstepping control is applied for DC-DC buck converter. The updating laws are determined based on the lyapunov theorem. Thus, the difference between the estimated parameters and actual parameters converges to zero. The proposed control method is compared with the conventional sliding mode control and integral sliding mode control. Simulation results demonstrate the effectiveness and robustness of the proposed controller.

Design and Implementation of a Rocket Launcher with Improved High Speed & Accuracy

2012 ◽  
Vol 466-467 ◽  
pp. 1334-1338 ◽  
Author(s):  
De Ying Li
Keyword(s):  
Sliding Mode Control ◽  
High Speed ◽  
Position Control ◽  
Control Method ◽  
Sliding Mode ◽  
External Disturbance ◽  
Strong Impact ◽  
Internal Mode ◽  
Mode Control ◽  
Speed Accuracy

Aiming at high speed and accuracy position control, this paper introduces design of an optimal internal mode control and sliding mode control for rocket launcher servo systems which have large varied moment of inertia, strong impact moment and load moment. Internal mode control designed by LQR theory can satisfy system requirement of the position loop in PMSM system. Sliding mode control can restrain effects that caused by model parameter perturbation and external disturbance and realize high performance position control. Simulation results show that the control method is simple and has better performances compared with PID controller.

scholarly journals Adaptive Fuzzy Backstepping Control of MEMS Gyroscope Using Dynamic Sliding Mode Approach

2015 ◽  
Vol 44 (4) ◽  
pp. 380-386
Author(s):  
Yunmei Fang ◽  
Zhuli Yuan ◽  
Juntao Fei
Keyword(s):  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Backstepping Control ◽  
Control Input ◽  
Adaptive Fuzzy ◽  
Mode Control ◽  
Dynamic Sliding Mode Control ◽  
Micro Electromechanical System ◽  
Dynamic Sliding Mode

In this paper, a dynamic sliding mode control using adaptive fuzzy backstepping (DSMCAFB) approach for a micro-electromechanical system (MEMS) vibratory z-axis gyroscope is presented. Based on an adaptive fuzzy backstepping control method, a dynamic sliding mode control is proposed to compensate and adjust the external disturbances and model uncertainties. The fuzzy control method with adaptive backstepping control design can avoid depending on the system model and approximate the system nonlinearities well. What’s more ,it can make the controller have the ability to learn and adjust the fuzzy parameters in real time. In addition, dynamic sliding mode control can transfer discontinuous terms to the first-order derivative of the control input in order to effectively reduce the chattering. The simulation studies are investigated to demonstrate the satisfactory performance of the proposed method.DOI: http://dx.doi.org/10.5755/j01.itc.44.4.9110

scholarly journals Research on Variable Cycle Engine Control Based on Model Reference Adaptive Sliding Mode Control Method

2018 ◽  
Vol 36 (5) ◽  
pp. 824-830
Author(s):  
Hongliang Xiao ◽  
Huacong Li ◽  
Jia Li ◽  
Jiangfeng Fu ◽  
Kai Peng
Keyword(s):  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
External Disturbance ◽  
Adaptive Sliding Mode Control ◽  
Engine Control ◽  
Model Reference ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Model Reference Adaptive

As to solve the problem of multivariable output tracking control of variable cycle engine under system uncertainties and external disturbances, an augmented model reference adaptive sliding mode control method based on LQR method was developed. Firstly, the model is augmented and the reference state is provided to the controller by designing the reference model using the optimal LQR method. Then, based on the state tracking sliding mode control method, the adaptive law is derived based on the strict stability condition of Lyapunov function to estimate the upper bound of the system perturbation matrix and the upper bound of the external disturbances. Finally, the controller achieves the asymptotic zero tracking error of the system under the conditions of uncertainty and external disturbance. The simulation results showed that the LQR-based augmented model reference adaptive sliding mode control method can solve the problem that the traditional sliding mode control method needs to specify the reference state in advance and improve the control performance of the variable cycle engine control with system uncertainties and external disturbance. The tracking of the control command is effectively achieved and the steady-state and dynamic performance are improved. The steady-state control errors under different conditions are less than 0.1%, the system overshoot is less than 0.5%, and the adjustment time is less than 1s, which conformed to the requirements of the aero engine control system technology.

Adaptive sliding mode formation control for multiple flight vehicles with considering autopilot dynamic

2021 ◽  
pp. 1-21
Author(s):  
W. Li ◽  
Q. Wen ◽  
H. Zhou
Keyword(s):  
Sliding Mode Control ◽  
Formation Control ◽  
Control Method ◽  
Sliding Mode ◽  
Dimensional Space ◽  
External Disturbance ◽  
Control Law ◽  
Terminal Sliding Mode ◽  
Mode Control ◽  
Flight Vehicles

ABSTRACT This paper mainly focuses on the cooperative control of formation configuration for multiple flight vehicles in the three-dimensional space. Considering the external disturbance of the system, the adaptive non-singular terminal sliding mode control law (NTSMC) is designed based on the virtual leader-follower method, which aims to ensure that each flight vehicle reaches the expected terminal position in a limited time and meet the configuration constraints. Further considering the first-order dynamic characteristic of the autopilot, a novel second-order sliding mode control (SOSMC) law is deduced with using the estimated information of sliding mode disturbance observer. The proposed control method ensures that all flight vehicles form the required space formation configuration simultaneously at a pre-designed time, and the chattering phenomenon of the sliding mode surface and acceleration response that nears the equilibrium point is effectively weaken. The stability of the proposed control law is verified by theoretical analysis and lots of mathematical simulations. The results show that the control algorithm in this paper can be used to guidance the formation controller design of multiple flight vehicles in the mid-guidance phase to some extent, and thus the cooperative flight stability of the system can be effectively improved.

scholarly journals High-Order Sliding Mode-Based Synchronous Control of a Novel Stair-Climbing Wheelchair Robot

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Juanxiu Liu ◽  
Yifei Wu ◽  
Jian Guo ◽  
Qingwei Chen
Keyword(s):  
Sliding Mode Control ◽  
Attitude Control ◽  
Control Method ◽  
Sliding Mode ◽  
External Disturbance ◽  
High Order ◽  
Lyapunov Theory ◽  
Stair Climbing ◽  
Synchronous Control ◽  
Mode Control

For the attitude control of a novel stair-climbing wheelchair with inertial uncertainties and external disturbance torques, a new synchronous control method is proposed via combing high-order sliding mode control techniques with cross-coupling techniques. For this purpose, a proper controller is designed, which can improve the performance of the system under conditions of uncertainties and torque perturbations and also can guarantee the synchronization of the system. Firstly, a robust high-order sliding mode control law is designed to track the desired position trajectories effectively. Secondly, considering the coordination of the multiple joints, a high-order sliding mode synchronization controller is designed to reduce the synchronization errors and tracking errors based on the controller designed previously. Stability of the closed-loop system is proved by Lyapunov theory. The simulation is performed by MATLAB to verify the effectiveness of the proposed controller. By comparing the simulation results of two controllers, it is obvious that the proposed scheme has better performance and stronger robustness.

A New Discrete-time Sliding Mode Control Method Based on Restricted Variable Trending Law

2014 ◽  
Vol 39 (9) ◽  
pp. 1552-1557 ◽  
Author(s):  
Xi LIU ◽  
Xiu-Xia SUN ◽  
Wen-Han DONG ◽  
Peng-Song YANG
Keyword(s):  
Sliding Mode Control ◽  
Discrete Time ◽  
Control Method ◽  
Sliding Mode ◽  
Mode Control

Fractional Dynamic Sliding Mode Control for uncertain chaotic systems Applied to a Chaotic Robot arm under dynamic load.

2020 ◽  
Vol 10 ◽  
Author(s):  
Sara Gholipour P ◽  
Sara Minagar ◽  
Javad Kazemitabar ◽  
Mobin Alizadeh
Keyword(s):  
Sliding Mode Control ◽  
Chaotic Systems ◽  
Control Method ◽  
Sliding Mode ◽  
Qualitative And Quantitative ◽  
Mode Control ◽  
Quantitative Characteristics ◽  
Dynamic Sliding Mode Control ◽  
Dynamic Sliding Mode ◽  
Qualitative And Quantitative Characteristics

Background: A novel type of control strategy is presented for control of chaotic systems particularly a chaotic robot in joint and workspace which is the result of applying fractional calculus to dynamic sliding mode control. Objectives: To guarantee the sliding mode condition, control law is introduced based on the Lyapunov stability theory. Methods: A control scheme is proposed for reducing the chattering problem in finite time tracking and robust in presence of system matched disturbances. Conclusion: Also, all of chaotic robot's qualitative and quantitative characteristics have been investigated. Numerical simulations indicate viability of our control method. Results: Qualitative and quantitative characteristics of the chaotic robot are all proven to be viable thru simulations.

scholarly journals Backstepping Sliding-Mode Control of Piezoelectric Single-Piston Pump-Controlled Actuator

Actuators ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 154
Author(s):  
Bin Wang ◽  
Pengda Ren ◽  
Xinhao Huang
Keyword(s):  
Sliding Mode Control ◽  
Position Control ◽  
Control Method ◽  
Sliding Mode ◽  
Piezoelectric Pump ◽  
Mode Control ◽  
Control Precision ◽  
Backstepping Sliding Mode Control ◽  
Actuator System ◽  
The Mathematical Model

A piston piezoelectric (PZT) pump has many advantages for the use of light actuators. How to deal with the contradiction between the intermittent oil supplying and position control precision is essential when designing the controller. In order to accurately control the output of the actuator, a backstepping sliding-mode control method based on the Lyapunov function is introduced, and the controller is designed on the basis of establishing the mathematical model of the system. The simulation results show that, compared with fuzzy PID and ordinary sliding-mode control, backstepping sliding-mode control has a stronger anti-jamming ability and tracking performance, and improves the control accuracy and stability of the piezoelectric pump-controlled actuator system.

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