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Yinli Chen

Bio: Yinli Chen is an academic researcher from Tokyo Institute of Technology. The author has contributed to research in topics: Damper & Control system. The author has an hindex of 1, co-authored 5 publications receiving 8 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, a control-force spectrum is presented to estimate the maximum control force while considering the combination of passive base-isolated (PBI) and active structural control (ASC).

13 citations

Journal ArticleDOI
TL;DR: In this paper , a reduced-order state observer (ROSO) was proposed to reduce the complexity of base-isolation and ensure the reliability of the EID control system.
Abstract: Active base isolation has been studied in the last few decades to improve the control performance of base isolation. As a two-degree-of-freedom active disturbance-rejection method, the equivalent-input-disturbance (EID) approach shows its validity for structural control. It uses a state observer to estimate the effect of disturbances on a control input channel. However, since the model of a base-isolated building has high degrees-of-freedom, a resulting control system has a high order. Thus, the use of a full-order state observer results in the complexity of a control-system implementation. To solve this problem, this paper presents an EID control system that uses a reduced-order state observer (ROSO) to reduce the expense of control-system implementation and ensure system reliability. First, the condition of using an ROSO in an EID control system is derived, and the configuration of an ROSO-based EID control system is presented. Next, the concept of perfect regulation is used to design the gain of the state observer. A stability condition of the system with prescribed control performance is derived in the form of a linear matrix inequality (LMI) that is used to design the gain of the state feedback. Finally, the seismic control of a base-isolated building demonstrates the validity of the method.

9 citations

Journal ArticleDOI
TL;DR: In this article, a method to theoretically estimate the mean control force and mean displacement response under along-wind force using only the static equilibrium, without requiring numerical simulations, is presented.

6 citations

Journal ArticleDOI
TL;DR: New spectra of responses and control force for an active base-isolated building that uses the equivalent-input-disturbance (EID) approach for active structural control are presented.

6 citations

Journal ArticleDOI
TL;DR: In this article , a robust control strategy based on a linear matrix inequality (LMI) approach for a passive tuned mass damper (TMD), which is one of the common passive-control devices for structural vibration control, is presented.
Abstract: This paper presents a new design method based on a robust-control strategy in the form of a linear matrix inequality (LMI) approach for a passive tuned mass damper (TMD), which is one of the common passive-control devices for structural vibration control. To apply the robust control theory, we first present an equivalent expression that describes a passive TMD as an active TMD. Then, some LMI-based condition is derived that not only guarantees robust stability but also allows us to adjust the robust H¥ performance. In particular, this paper considers the transfer function from a seismic-wave input to structural responses. Unlike other methods, this method formulates the problem to be a convex optimization problem that ensures a global optimal solution and considers uncertainties of mass, damping, and stiffness of a structure for designing a TMD. Numerical example uses both a single-degree-of-freedom (SDOF) and 10DOF models, and seismic waves. The simulation results demonstrated that the TMD that is designed by the presented method has good control performance even if the structural model includes uncertainties, which are the modeling errors.

2 citations


Cited by
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Journal ArticleDOI

1,604 citations

Journal ArticleDOI
TL;DR: In this paper , a reduced-order state observer (ROSO) was proposed to reduce the complexity of base-isolation and ensure the reliability of the EID control system.
Abstract: Active base isolation has been studied in the last few decades to improve the control performance of base isolation. As a two-degree-of-freedom active disturbance-rejection method, the equivalent-input-disturbance (EID) approach shows its validity for structural control. It uses a state observer to estimate the effect of disturbances on a control input channel. However, since the model of a base-isolated building has high degrees-of-freedom, a resulting control system has a high order. Thus, the use of a full-order state observer results in the complexity of a control-system implementation. To solve this problem, this paper presents an EID control system that uses a reduced-order state observer (ROSO) to reduce the expense of control-system implementation and ensure system reliability. First, the condition of using an ROSO in an EID control system is derived, and the configuration of an ROSO-based EID control system is presented. Next, the concept of perfect regulation is used to design the gain of the state observer. A stability condition of the system with prescribed control performance is derived in the form of a linear matrix inequality (LMI) that is used to design the gain of the state feedback. Finally, the seismic control of a base-isolated building demonstrates the validity of the method.

9 citations

Journal ArticleDOI
TL;DR: The global convergence of the D-SLP algorithm is analyzed according to Markov chain modeling and proved to correspond with the policy of global convergence for stochastic search algorithms.
Abstract: Novel nonlinear feedback control based on the dragonfly swarm learning process (D-SLP) algorithm is proposed in this paper. This approach improves the performance, stability and robustness of designing the nonlinear system controller. The D-SLP algorithm is the combination of the dragonfly algorithm (DA) and swarm learning process (SLP) algorithm by applying the DA to the learning process of the SLP algorithm. Furthermore, the estimation of the nonlinear term by using gradient descent is proposed in the process of the D-SLP algorithm. The learning rate is adjusted according to the stable learning rate, which is derived according to the Lyapunov stability theorem. To show the superior performance and robustness of the proposed control method, it is compared with the simulation of designing the controller based on a permanent magnet synchronous motor (PMSM) control system with the online autotuning parameter of a PID controller and LQR controller with two case studies. The conventional SLP algorithm and DA are used to autotune the PID controller, while an artificial bee colony algorithm and a flower pollination algorithm (ABC-FPA) autotune the LQR controller. From the simulation results, the proposed control method can provide a better response than the other control method. Additionally, the global convergence of the D-SLP algorithm is analyzed according to Markov chain modeling and proved to correspond with the policy of global convergence for stochastic search algorithms.

7 citations

Journal ArticleDOI
TL;DR: In this article, a method to theoretically estimate the mean control force and mean displacement response under along-wind force using only the static equilibrium, without requiring numerical simulations, is presented.

6 citations

Journal ArticleDOI
TL;DR: This robustness and stability of the proposed PID controller can reduce further the maximum displacement, velocity, and acceleration of the structure subjected to far field earthquakes with considering uncertainties by 16, 10, and 16%, respectively, compared to the conventional PID controller.

6 citations