Delayed adaptive output feedback sliding mode control for offshore platforms subject to nonlinear wave-induced force

Nourisola, Hamid; Ahmadi, Bahar; Tavakoli, Saeed

doi:10.1016/j.oceaneng.2015.04.082

Cited by 31 publications

(5 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In (Pai & Yau, 2011), an adaptive SMC (ASMC) scheme has been used for chaos control in horizontal platform systems where only asymptotic stability was ensured. In (Nourisola et al 2015), adaptive control concept has been combined with SMC scheme to control the offshore platforms. In (Vaseghi et al 2017), a finite-time ASMC approach has been used for chaos synchronization of communication systems.…”

Section: Introductionmentioning

confidence: 99%

Fixed-Time Adaptive Robust Synchronization with a State Observer of Chaotic Support Structures for Offshore Wind Turbines

Hosseinabadi

Abadi

Mekhilef

et al. 2021

J Control Autom Electr Syst

View full text Add to dashboard Cite

The chaotic support structures for offshore wind turbines are often subjected to a severe environment. A robust control scheme needs to be considered to maintain them in a safe operational limit. Robust sliding mode control (SMC) scheme can provide an excellent robust controller against this severe and challenging environment for these chaotic structures. This paper proposes a novel fixed-time adaptive sliding mode control scheme with a state observer to synchronize chaotic support structures for offshore wind turbines in the presence of matched parametric uncertainties. The proposed controller is a new integration of adaptive control concept, SMC method, fixed-time stability concept and a state observer. A fixed-time stability concept is used to provide stability for the system within a presented time regardless of initial conditions. The adaptive concept is utilized to provide an online estimator of the uncertain upper bound. Also, a nonlinear observer is employed to provide an online estimator of an unmeasured state in the controller. Lyapunov stability theorem is used to analyze fixed-time stability of the system based on SMC methodology. The simulation results demonstrate that the proposed controller is able to ensure fixed-time synchronization along with providing precise means to estimate the unmeasured state as well as uncertainty upper bound.

show abstract

Section: Introductionmentioning

confidence: 99%

Fixed-Time Adaptive Robust Synchronization with a State Observer of Chaotic Support Structures for Offshore Wind Turbines

Hosseinabadi

Abadi

Mekhilef

et al. 2021

J Control Autom Electr Syst

View full text Add to dashboard Cite

show abstract

“…In Zhang et al (2011), delayed feedback control schemes are presented by using output signals of the structure. Then, variable structure control (Nourisola et al, 2015; Zhang et al, 2013, 2014a), robust sampled-data control (Sakthivel et al, 2014; Sivaranjani et al, 2017) are developed for the offshore structure. Neural network algorithms are also utilized to enhance the performance of the structure (Chang et al, 2009; Kim 2009).…”

Section: Introductionmentioning

confidence: 99%

Vibration control of network-based offshore structures subject to earthquakes

Feng

Zhang

Zhao

et al. 2021

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

Marine structures are inevitably influenced by parametric perturbations as well as multiple external loadings. Among these loadings, earthquake is generally more destructive and unpredictable than others. It is significant to develop effective active control schemes to guarantee the safety, stability, and integrity of marine structures subject to earthquakes and parametric perturbations. In this paper, the problem of networked [Formula: see text] robust damping control is addressed to stabilize a marine structure subject to earthquakes. First, in consideration of perturbations of the structure parameters, an uncertain model of the networked marine structure under earthquakes is presented. Second, a robust networked [Formula: see text] control scheme is presented to suppress seismic responses of the structure. By using stability theory of time-delay systems, several sufficient conditions on robust stability of the networked marine structure system are obtained, and the linear matrix inequality methods are utilized to solve the gain matrix of the controller. Finally, simulation indicates that compared with the traditional robust [Formula: see text] control and the proposed networked [Formula: see text] control, the seismic responses amplitudes of the marine structure under the two controllers are almost the same, while the latter is more economic than the former.

show abstract

“…For structural health monitoring, if a simple and accurate model can be obtained based on the acquired data, then future structural behaviors can be predicted by this model, and some possible damages or failures may be avoided . The effects of structural control depend on the structural model, even for intelligent control methods . The more accurate a model that can be obtained, the better control effect can be realized.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4] The effects of structural control depend on the structural model, even for intelligent control methods. [5][6][7][8] The more accurate a model that can be obtained, the better control effect can be realized. In a civil structural model, nonlinearity commonly exists with respect to health monitoring and structural control.…”

mentioning

confidence: 99%

An UKF-based nonlinear system identification method using interpolation models and backward integration

Qin

2018

Struct Control Health Monit

View full text Add to dashboard Cite

SummaryIn this paper, a novel identification method for nonlinear systems is proposed.This method utilizes linear interpolation models to describe the nonlinear forces of the physical models, and the unscented Kalman filter (UKF) method is adopted for the task of nonlinear identification. With the help of a linear interpolation algorithm, the proposed method requires little prior knowledge of the form of the nonlinear stiffness. Therefore, this method takes advantage of both the independence of the linear interpolation points and the inherent mathematical properties of the UKF. The UKF method is also modified to better fit the needs of parameter identification. To further emphasize parameter identification, backward integration and observations of the previous states are used. Two numerical simulations of the nonlinear elastic stiffness and Bouc-Wen hysteresis are conducted to show the flexibility and efficiency of this method. In these 2 examples, the observation signals are generated by analytic models, and the identifications are conducted with a linear interpolation model. | INTRODUCTIONA suitable mathematical model for civil structures is very important for health monitoring and structural control. For structural health monitoring, if a simple and accurate model can be obtained based on the acquired data, then future structural behaviors can be predicted by this model, and some possible damages or failures may be avoided. [1][2][3][4] The effects of structural control depend on the structural model, even for intelligent control methods. [5][6][7][8] The more accurate a model that can be obtained, the better control effect can be realized. In a civil structural model, nonlinearity commonly exists with respect to health monitoring and structural control. Simply assuming linearity of the structure behavior will cause significant error. To describe a particular nonlinear behavior, there are usually plenty of proper mathematical models available. Examples include the polynomial model [9,10] and multilinear model [11] for elastic stiffness, BoucWen model, [12] Preisach model, [13] and Iwan model [14] for hysteretic force. Different models fit for different problems.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Delayed adaptive output feedback sliding mode control for offshore platforms subject to nonlinear wave-induced force

Cited by 31 publications

References 26 publications

Fixed-Time Adaptive Robust Synchronization with a State Observer of Chaotic Support Structures for Offshore Wind Turbines

Fixed-Time Adaptive Robust Synchronization with a State Observer of Chaotic Support Structures for Offshore Wind Turbines

Vibration control of network-based offshore structures subject to earthquakes

An UKF-based nonlinear system identification method using interpolation models and backward integration

Contact Info

Product

Resources

About