Adaptive Dynamic Surface Control of Bouc–Wen Hysteretic Systems

Author(s):  
Mansour Peimani ◽  
Mohammad Javad Yazdanpanah ◽  
Naser Khaji

This paper develops an adaptive dynamic surface algorithm for designing the control law for uncertain hysteretic structural systems with seismic disturbances that can be converted to a semi strict feedback form. Hysteretic behavior is usually described by Bouc–Wen model for hysteretic structural systems like base isolation systems. Adaptive sliding mode and adaptive backstepping algorithms are also studied and simulated for comparison purposes. The presented simulation results indicate the effectiveness of the proposed control law in reducing displacement, velocity and acceleration responses of the structural system with acceptable control force. Moreover, using dynamic surface control (DSC), the study analyzes the stability of the controlled system based on the Lyapunov theory.

Author(s):  
Yannick Morel ◽  
Alexander Leonessa

This paper presents a novel adaptive control algorithm solving the trajectory tracking problem for quadrotor aerial vehicles. A model reference approach is used, such that the vehicle tracks the trajectory of a reference system, which itself tracks a specified desired trajectory. The control law is derived using a backstepping procedure. A technique derived from dynamic surface control is used to simplify the expression of the obtained control algorithm, with no significant loss in terms of performance. Proof of stability is obtained using Lyapunov theory. Results from numerical simulations illustrate the performance of the obtained controller.


Author(s):  
Tien

This paper focuses on the design a controller for PMSG Wind turbine system bases on dynamic surface control (DSC). DSC is a new technique based on sliding mode control and backstepping which provides the ability to solve problems in backstepping controllers and avoids their drawbacks. The stability of the system is proved by using Lyapunov theory. The proposed controller was simulated in matlab/simulink and results expressed the efficiency of the controller.


2019 ◽  
Vol 9 (17) ◽  
pp. 3621 ◽  
Author(s):  
Deyuan Meng ◽  
Bo Lu ◽  
Aimin Li ◽  
Jiang Yin ◽  
Qingyang Li

In this paper, the needle insertion motion control of a magnetic resonance imaging (MRI) compatible robot, which is actuated by a pneumatic cylinder with long transmission lines, is considered and a pressure observer based adaptive dynamic surface controller is proposed. The long transmission line is assumed to be an intermediate chamber connected between the control valve and the actuator in series, and a nonlinear first order system model is constructed to characterize the pressure losses and time delay brought by it. Due to the fact that MRI-compatible pressure sensors are not commercially available, a globally stable pressure observer is employed to estimate the chamber pressure. Based on the model of the long transmission line and the pressure observer, an adaptive dynamic surface controller is further designed by using the dynamic surface control technique. Compared to the traditional backstepping design method, the proposed controller can avoid the problem of “explosion of complexity” since the repeated differentiation of virtual controls is no longer required. The stability of the closed-loop system is analytically proven by employing the Lyapunov theory. Extensive experimental results are presented to demonstrate the effectiveness and the performance robustness of the proposed controller.


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