An Improved Dynamic Surface Control Approach and Applications to the Control of DC-DC Power Converter

2012 ◽  
Vol 229-231 ◽  
pp. 811-814
Author(s):  
Wen Lei Li

This article presents an improved dynamic surface control (IDSC) approach for DC-DC Buck converter with parameter uncertainties and external disturbances. For IDSC method, the parameters update laws are designed based on uncertainty equivalence criterion, the requirements to the controlled systems are reduced, and the problem of explosion of complexity can be overcome. The features of the derived controller are discussed and illustrated by the Simulation study. The analysis and simulation show that the obtained controller possesses good adaptability and robustness to system uncertainties.

2020 ◽  
Vol 42 (15) ◽  
pp. 2956-2968
Author(s):  
Bo Li ◽  
Hanyu Ban ◽  
Wenquan Gong ◽  
Bing Xiao

This work presents a novel control strategy for the trajectory tracking control of the quadrotor unmanned aerial vehicle (UAV) with parameter uncertainties and external unknown disturbances. As a stepping stone, two fixed-time extended state observers (ESOs) are proposed to estimate the external disturbances and/or the parameter uncertainties for the position and attitude subsystems, respectively. Then, the fast terminal sliding mode-based improved dynamic surface control (DSC) approaches are developed. To eliminate the problem of “explosion of complexity” inherent in backstepping method-based controllers, the finite-time command filters and an error compensation signals are used in the design of the dynamic surface controllers. Subsequently, the practically finite-time stability of the closed-loop tracking system is guaranteed by utilizing the proposed control scheme. The simulation results are obtained to demonstrate the effectiveness and fine performance of the proposed trajectory tracking control approaches.


2021 ◽  
Author(s):  
Xiaofu Zhang ◽  
Guanglin Shi

Abstract This paper presents an adaptive dynamic surface control strategy based on composite adaptive method for a multi-DOF hydraulic manipulator with the unknown disturbance and uncertainties. The manipulator is driven by multiple hydraulic actuators so that the system can have the advantages of the hydraulic system such as the high-power density. Dynamic characteristics of the hydraulic system have a non-negligible impact on the performance of the manipulator. Considering the hydraulic actuator dynamics, the mathematical model of the hydraulic manipulator is derived at first. The dynamic model is high nonlinear, and has unmatched and matched disturbances and parameter uncertainties such as the mass and length of each articulated arm and the elastic modulus of hydraulic oil. Then, a composite adaptive control law is designed to estimate the uncertain parameters of the hydraulic manipulator, and a disturbance observer is explored to compensate the unknown disturbances without acceleration measurement that generally introduces the high noise into the system. Besides, the dynamic surface controller is proposed to account for the system nonlinearity and stabilize the closed-loop system. Finally, comparative experiments of the position tracking of the hydraulic manipulator are performed to verify the effectiveness of the proposed control strategy.


2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Min Wan ◽  
Qingyou Liu ◽  
Jiawei Zheng ◽  
Jiaru Song

In this paper, a new fuzzy dynamic surface control approach based on a state observer is proposed for uncertain nonlinear systems with time-varying output constraints and external disturbances. An adaptive fuzzy state observer is used to estimate the states that cannot be measured in the systems. In our method, a time-varying Barrier Lyapunov Function (BLF) is used to ensure that the output does not violate time-varying constraints. In addition, dynamic surface control (DSC) technology is applied to overcome the problem of “explosion of complexity” in a backstepping control. Finally, the stability and signal boundedness of the system are confirmed by the Lyapunov method. The simulation results show the effectiveness and correctness of the proposed method.


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