Generalized active disturbance rejection control of structures under seismic disturbance considering time delays

Khoshbin, Elham; Abolmasoumi, Amir Hossein; Soleymani, Mehdi; Khalatbari, Arash

doi:10.1002/stc.2029

Cited by 11 publications

(3 citation statements)

References 55 publications

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“…The linear system represents the dynamics of a wide range of smart structures that can be controlled by integrated force actuators. Apart from the typical examples of such structures, namely, bridges and slender buildings exposed to earthquake or wind forces, offshore platforms subjected to sea waves or wind turbine blades exposed to wind flow which are controlled by means of electric motors or active tuned mass systems, we can also see new emerging designs that employ piezoelectric actuators and shape memory alloys or polymer‐based artificial muscles . In the present paper, we will consider a modular cantilever beam equipped with a set of electromagnetic force actuators.…”

Section: Distributed Control Designmentioning

confidence: 99%

Scalable distributed optimal control of vibrating modular structures

Pisarski

Konowrocki

Jankowski

2020

Struct Control Health Monit

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Summary A scalable optimal control method for structural vibration mitigation is studied. The method relies on a structure's partitioning that leads to a set of dynamically interconnected subsystems. Each subsystem is operated with an individual subcontroller that collects the local state information and collaborates with the neighboring subcontrollers to estimate a short time prediction of the interconnecting forces defining the subsystem's boundary conditions. Using the extended model that represents the subsystem's dynamics together with the evolution of its boundary conditions, each subcontroller computes the control decision based on the solution to a finite‐time horizon optimal control problem. In order to cope with the changes in the boundary conditions, the optimal solution is computed repetitively according to the receding horizon scheme. The method is validated numerically for a cantilever structure equipped with actively controlled electromagnetic actuators and subjected to a variety of initial condition scenarios. The performance of the designed controller is tested by comparisons to the centralized and isolated decentralized controllers. The introduced system partitioning and distributed controller allow performing parallel computing which makes the method fully scalable and applicable to large‐scale structures. The computational complexity of the designed distributed control is studied for different settings in the modeling of the subsystem's boundary conditions.

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Section: Distributed Control Designmentioning

confidence: 99%

Scalable distributed optimal control of vibrating modular structures

Pisarski

Konowrocki

Jankowski

2020

Struct Control Health Monit

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“…On the other hand, in the field of civil engineering, there are only few studies addressing the ADRC design for vibration suppression in building structures discussed in Khoshbin et al (2018), where the authors design an ADRC that includes a state predictor to address the control input delays induced by the remote networked control or actuator delays. Results are validated in a 2-degrees-of-freedom structure.…”

Section: Introductionmentioning

confidence: 99%

Active vibration control of building structure using active disturbance rejection control

Ramírez‐Neria

Morales‐Valdez

2021

Journal of Vibration and Control

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This article presents an active vibration control of seismically excited building structures. The control scheme is based on active disturbance rejection control, which is an attractive alternative technique for structural vibration suppression and practical motion control solution in the presence of parametric uncertainties and disturbances. The proposed active disturbance rejection control scheme uses a generalized proportional integral observer, which allows us to estimate in real time the unknown dynamics and disturbances in the building structure to cancel their effect using a part of the control signal. First, the active disturbance rejection control provides a proportional derivative controller with robustness to external disturbances and uncertainties, and its structure is expressed in a compact error-based form. An important advantage with respect to other methods is that the proposed scheme does not need the system parameters. Moreover, supposing that displacement and velocity cannot be measured directly, an online robust adaptive observer is introduced to estimate both data, required for the proportional derivative controller. The adaptive observer removes constant disturbance and attenuates measurement noise in acceleration data. Under this line, a second active disturbance rejection control scheme is introduced based on a proportional controller that, unlike proportional derivative, it only needs the velocities that can be directly estimated by integrating the acceleration signals and does not require the adaptive observer. An advantage of this scheme is its simplicity to be implemented because it only needs to tune the proportional gain. Furthermore, this scheme has a similar performance of the proportional derivative controller. The effectiveness of the proposed active disturbance rejection control schemes is demonstrated through experimental results of a reduced scale five-story building structure. The results are found to be a good step in that direction, confirming that the proposed method is promising for practical applications.

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“…In recent decades, the vibration control strategy has been an efficient and a safe approach to protect civil structures against strong environmental excitations (Amini and Karami, 2011). Important challenges in this research area, which have been studied a lot in the literature, include the unpredictability of inputs (for instance, earthquake and wind), difficulty and complexity of the real-time measurement of input excitations (Yu et al, 2015), the limitation of sensor numbers to identify the system (Abazarsa et al, 2013;Amini and Karami, 2012;Mesquita et al, 2016;Nagarajaiah and Erazo, 2016;Yang and Nagarajaiah, 2013;Yao et al, 2018), the uncertainty in system information (Amini et al, 2017;Giaralis and Taflanidis, 2018;Huo et al, 2016;Nguyen et al, 2018), the computation time required in controllers (Gutierrez Soto and Adeli, 2017), and the time delay in generating forces by control devices (Chae et al, 2013;Chen et al, 2017;Morales-Beltran and Paul, 2015;Shao and Chen, 2013;Shen et al, 2013;Spencer and Nagarajaiah, 2003;Khoshbin et al, 2018). Moving to create a smart structure is developing at a rapid pace due to the evolution of smart devices, actuators, control strategies, novel designs, and calculation tools.…”

Section: Introductionmentioning

confidence: 99%

Seismic motion control of structures using an adaptive optimal model-free controller

Sourni

Batmani

Karami

2020

Journal of Vibration and Control

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One of the major challenges in the real-time control of structures is the uncertainty in identifying the mechanical properties of the system, including mass, stiffness, and damping. However, the presence of uncertainty in time-varying systems (under severe environmental factors, the dynamic characteristics of the system change due to damage) is more noticeable. In this article, to deal with the problem of parametric uncertainties in seismic motion control of structures, an adaptive optimal controller is applied. The design procedure of the controller is straightforward, and there is no need to have the values of the structural parameters. In the proposed scheme, only the states of the system are measured, and it is not necessary to use the ground acceleration data which are difficult to be measured in real time. It is shown that the performance of the designed controller converges to the well-known linear quadratic regulator. Simulation results reveal that considerable reductions of the dynamic responses during the earthquakes are achieved using the utilized adaptive optimal controller, and also it is robust against any variation in the structural parameters due to the damages.

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Generalized active disturbance rejection control of structures under seismic disturbance considering time delays

Cited by 11 publications

References 55 publications

Scalable distributed optimal control of vibrating modular structures

Scalable distributed optimal control of vibrating modular structures

Active vibration control of building structure using active disturbance rejection control

Seismic motion control of structures using an adaptive optimal model-free controller

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