Neural Terminal Sliding‐Mode Control for Uncertain Systems with Building Structure Vibration

Abstract

Building structures occasionally suffer from unpredictable earthquakes, which can cause severe damage and can threaten human lives. Thus, effective control methods are needed to protect against structural vibration in buildings, and rapid finite-time convergence is a key performance indicator for vibration control systems. Rapid convergence can be ensured by applying a sliding-mode control method. However, this method would result in chattering issue, which would weaken the feasibility of the physical implementation. To address this problem, a neural terminal sliding-mode control method is proposed. The proposed method is combined with a terminal sliding-mode and a hyperbolic tangent function to ensure that the considered system can be stabilized in finite-time without chattering. Finally, the control effect of the proposed method is compared with that of LQR (linear quadratic regulator) control and switching function control. The simulation results showed that the proposed method can ensure rapid convergence while the chattering issue can be eliminated effectively. And the structural building vibration can be suppressed effectively too.

Research on vibration mechanism and control technology of building structure under earthquake action

“…The past few decades have motivated the researchers in including a variety of techniques for vibration control and to save the large structural buildings from severe damage. The methods may include the linear quadratic regulation [11], neural networks [12], application of fuzzy methodology [13], proportional integral derivative (PID) based disturbance rejection [14] and many other algorithms [15]. The authors in [16] proposed a two-look sliding system that can dynamically predict the state of the controlling device in the high-rise buildings.…”

Adaptive Sliding Mode Control for a Class of Manipulator Systems with Output Constraint

“…e application of manipulator is of great significance to the development of human society. So far, many effective control strategies have been produced for manipulator control, such as the PID control [1,2], the robust control [3][4][5], and the sliding mode control [6][7][8]. Among them, the PID control is more suitable for the control theory of other technologies difficult to adopt, or the mathematical models are not more accurate.…”

Improved Decentralized Fractional PD Control of Structure Vibrations

“…Thus, effective control methods are needed to protect against structural vibration in buildings [1,2]. During the past few decades, a variety of control techniques, including linear quadratic regulator (LQR) [3], sliding-mode [4], neural network [5], fuzzy [6], neural terminal sliding-mode [7], disturbance rejection [8], and proportional-derivative (PD) [9,10] algorithms were analyzed. For example, a new scheme comprising a two-loop sliding system in conjunction with a dynamic state predictor was proposed for controlling an active tuned mass damper in a high-rise building [4].…”

“…A neural network for reducing the vibrations of a 3-story scaled structure exposed to the Tōhoku 2011 and Boumerdès 2003 earthquakes was tested [5]. A neural terminal sliding-mode controller, combining a terminal sliding-mode and a hyperbolic tangent function, so that the controlled system could stabilize in finite-time without chattering, was proposed [7].…”