On the Suppression of Flow-Induced Vibration With a Simple Control Algorithm

2001 ◽  
Author(s):  
Pablo Carbonell ◽  
Xiaodong Wang ◽  
Zhong-Ping Jiang
Keyword(s):  
Adaptive Control ◽  
Robust Control ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Integration Time ◽  
Practical Implementation ◽  
Flow Induced Vibration ◽  
Time Step ◽  
Advantages And Disadvantages ◽  
Control Schemes

Abstract We present a study on the suppression of flow-induced vibration using a simple control algorithm with an assumption that the disturbance as well as the system parameters are bounded variables. By introducing three different control signals, we explore three schemes, namely, robust control, sliding mode, and adaptive control. The control schemes are implemented numerically with a few illustrative examples, which includes a bounded chaotic system. It is demonstrated that all three schemes can be effectively used for fluid-structure interaction systems. In addition, with these numerical examples, we also illustrate various advantages and disadvantages of different control schemes. In general, robust control and adaptive control schemes are (globally) ultimately uniformly bounded, whereas sliding mode scheme is (globally) asymptotically stable. Thus, as we further reduce the integration time step, the residual of robust control and adaptive control schemes will approach to a bounded (finite) asymptotic function, and the residual of sliding mode scheme will approach to zero. Furthermore, due to self-tuning, the gain of adaptive control scheme is relatively small, yet, the computation cost is higher because of the excessively small time step requirement for the numerical integration. With respect to sliding mode scheme, the control signal is discontinuous due to the sign function and consequently, the practical implementation has fast switching fluctuations (chattering).

A computationally efficient adaptive robust control scheme for a quad-rotor transporting cable-suspended payloads

2021 ◽  
pp. 095441002110136
Author(s):  
Nasim Ullah ◽  
Irfan Sami ◽  
Wang Shaoping ◽  
Hamid Mukhtar ◽  
Xingjian Wang ◽  
...  
Keyword(s):  
Robust Control ◽  
Fractional Order ◽  
Sliding Mode ◽  
Adaptive Robust Control ◽  
Computationally Efficient ◽  
Control Scheme ◽  
Control Schemes ◽  
Adaptive Laws ◽  
Unknown Disturbances ◽  
The Stability

This article proposes a computationally efficient adaptive robust control scheme for a quad-rotor with cable-suspended payloads. Motion of payload introduces unknown disturbances that affect the performance of the quad-rotor controlled with conventional schemes, thus novel adaptive robust controllers with both integer- and fractional-order dynamics are proposed for the trajectory tracking of quad-rotor with cable-suspended payload. The disturbances acting on quad-rotor due to the payload motion are estimated by utilizing adaptive laws derived from integer- and fractional-order Lyapunov functions. The stability of the proposed control systems is guaranteed using integer- and fractional-order Lyapunov theorems. Overall, three variants of the control schemes, namely adaptive fractional-order sliding mode (AFSMC), adaptive sliding mode (ASMC), and classical Sliding mode controllers (SMC)s) are tested using processor in the loop experiments, and based on the two performance indicators, namely robustness and computational resource utilization, the best control scheme is evaluated. From the results presented, it is verified that ASMC scheme exhibits comparable robustness as of SMC and AFSMC, while it utilizes less sources as compared to AFSMC.

Indirect Adaptive Fuzzy Control for a Class of Uncertain Nonlinear Systems with Unknown Control Direction

2013 ◽  
pp. 139-154
Author(s):  
Salim Labiod ◽  
Hamid Boubertakh ◽  
Thierry Marie Guerra
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Fuzzy Control ◽  
Fuzzy Systems ◽  
Control Algorithm ◽  
Adaptive Fuzzy Control ◽  
Control Schemes ◽  
Unknown Control ◽  
Unknown Control Direction ◽  
Control Direction

In this paper, the authors propose two indirect adaptive fuzzy control schemes for a class of uncertain continuous-time single-input single-output (SISO) nonlinear dynamic systems with known and unknown control direction. Within these schemes, fuzzy systems are used to approximate unknown nonlinear functions and the Nussbaum gain technique is used to deal with the unknown control direction. This paper first presents a singularity-free indirect adaptive control algorithm for nonlinear systems with known control direction, and then this control algorithm is generalized for the case of unknown control direction. The proposed adaptive controllers are free from singularity, allow initialization to zero of all adjustable parameters of the used fuzzy systems, and guarantee asymptotic convergence of the tracking error to zero. Simulations performed on a nonlinear system are given to show the feasibility of the proposed adaptive control schemes.

scholarly journals Design and Comparative Study of Advanced Adaptive Control Schemes for Position Control of Electronic Throttle Valve

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 65 ◽  
Author(s):  
Amjad Humaidi ◽  
Akram Hameed
Keyword(s):  
Adaptive Control ◽  
Position Control ◽  
Sliding Mode ◽  
Angular Position ◽  
Estimation Errors ◽  
Electronic Throttle ◽  
Control Schemes ◽  
Backstepping Controller ◽  
Matlab Package ◽  
The Stability

This paper investigates the performance of two different adaptive control schemes for controlling the angular position of an electronic throttle (ET) plate. The adaptive backstepping controller and adaptive sliding mode backstepping controller are the controllers under consideration. The control design based on these adaptive controllers is firstly addressed and the stability analysis of each controller has been presented and the convergence of both position and estimation errors for both controllers have been proved. A comparison study of the performance of both controllers has been conducted in terms of system transient characteristics and the behavior of their associated adaptive gain. The simulation has been implemented within the environment of the MATLAB package.

Finite-time sliding mode control for a 3-DOF fully actuated autonomous surface vehicle

2020 ◽  
pp. 014233122095751
Author(s):  
Ali Abooee ◽  
Mohammad Hayeri Mehrizi ◽  
Mohammad Mehdi Arefi ◽  
Shen Yin
Keyword(s):  
Robust Control ◽  
Sliding Mode Control ◽  
Finite Time ◽  
Sliding Mode ◽  
Terminal Sliding Mode ◽  
Mode Control ◽  
Autonomous Surface Vehicle ◽  
Nonsingular Terminal Sliding Mode ◽  
Control Schemes ◽  
Computer Based

This paper deals with the finite-time trajectory tracking problem for a typical 3-DOF (degree of freedom) autonomous surface vehicle (ASV) subjected to parametric uncertainties and environmental disturbances. Based on the nonsingular terminal sliding mode control (NTSMC) method, several separate classes of robust control inputs are designed to exactly steer all position states of the 3-DOF AVS to the desired paths during alterable finite times. By exploiting the Lyapunov stability theorem and using mathematical analysis, it is proven that all classes of designed robust control inputs are able to fulfill the mentioned finite-time tracking aim. Moreover, three applicable formulas (represented as several nonlinear inequalities) are extracted to determine the required total finite times for the suggested control schemes. Lastly, all designed control methods are numerically tested onto a benchmark 3-DOF AVS called CyberShip II. Provided computer-based numerical simulations (using MATLAB software) depicted the acceptable performance of the proposed control techniques.

Robust and adaptive control of three dimensional revolute-jointed cooperative manipulators for handling automation

Robotica ◽  
2005 ◽  
Vol 24 (2) ◽  
pp. 163-172
Author(s):  
Hürvet Sarikaya ◽  
Recep Burkan ◽  
İbrahim Uzmay
Keyword(s):  
Adaptive Control ◽  
Robust Control ◽  
Control Algorithm ◽  
Uncertain Systems ◽  
Three Dimensional ◽  
Structural Flexibility ◽  
Adaptive Law ◽  
Guaranteed Stability ◽  
Manipulation System ◽  
Adaptive Control Algorithm

This paper presents a study of the application of adaptive and robust control methods to a cooperative manipulation system which is developed for handling an object by three dimensional revolute-jointed manipulators. The adaptive control algorithm supports the parameter adaptive law that provides guaranteed stability for uncertain systems. In designing the robust control structure, contact and friction constraints for grasp and bearing conditions, structural flexibility or such similar factors as various unmodeled dynamics are considered as uncertainties that determine available values of control parameters. The novelty of results in the present paper is to define new control inputs using parametric uncertainties and the Lyapunov based theory of guaranteed stability of uncertain systems for handling objects in a spatial workspace.

scholarly journals Enhanced Nonlinear Robust Control for TCSC in Power System

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Chao Zhang ◽  
Xing Wang ◽  
Zhengfeng Ming ◽  
Zhuang Cai
Keyword(s):  
Adaptive Control ◽  
Time Delay ◽  
Robust Control ◽  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Uncertain Parameter ◽  
Adaptive Backstepping ◽  
External Disturbances ◽  
Backstepping Sliding Mode Control

This paper proposes an enhanced robust control method, which is for thyristor controlled series compensator (TCSC) in presences of time-delay nonlinearity, uncertain parameter, and external disturbances. Unlike conventional adaptive control methods, the uncertain parameter is estimated by using system immersion and manifold invariant (I&I) adaptive control. Thus, the oscillation of states caused by the coupling between parameter estimator and system states can be avoided. In addition, in order to overcome the influences of time-delay nonlinearity and external disturbances, backstepping sliding mode control is adopted to design control law recursively. Furthermore, robustness of TCSC control subsystem is achievable provided that dissipation inequality is satisfied in each step. Effectiveness and efficiencies of the proposed control method are verified by simulations. Compared with adaptive backstepping sliding mode control and adaptive backstepping control, the time of reaching steady state is shortened by at least 11% and the oscillation amplitudes of transient responses are reduced by at most 50%.

Nonlinear robust adaptive control of an airplane with structural damage

2020 ◽  
Vol 234 (14) ◽  
pp. 2076-2088
Author(s):  
Davood Asadi ◽  
Karim Ahmadi
Keyword(s):  
Adaptive Control ◽  
Structural Damage ◽  
Control Algorithm ◽  
Transport Model ◽  
Sliding Mode ◽  
Robust Adaptive Control ◽  
Damage Effect ◽  
Wing Damage ◽  
Robust Adaptive ◽  
Nonlinear Robust

This article investigates the design of a novel nonlinear robust adaptive control architecture to stabilize and control an airplane in the presence of left-wing damage. Damage effect is modeled by considering the sudden mass and inertia changes, center of gravity, and aerodynamic variations. The novel nonlinear control algorithm applies a state predictor as well as the error between the real damaged dynamics and a virtual model based on the nominal aircraft dynamics in the control loop of the adaptive strategy. The projection operator is used for the purpose of robustness of the adaptive control algorithm. The stability of the proposed nonlinear robust adaptive controller is demonstrated applying the Lyapunov stability theory. The performance of the proposed controller is compared with two previous successful algorithms, which are implemented on the Generic Transport Model airplane to accommodate wing damage. Numerical simulations demonstrate the effectiveness and advantages of the proposed robust adaptive algorithm regarding two other algorithms of adaptive sliding mode and L 1 adaptive control.

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