RBF Nonsmooth Control Method for Vibration of Building Structure with Actuator Failure

Wang, Jianhui; Zhang, Chunliang; Zhu, Hongtao; Huang, Xiaofang; Zhang, Li

doi:10.1155/2017/2513815

Cited by 6 publications

(4 citation statements)

References 19 publications

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“…Since the controlled object is the model described by equation (11), the initial state is ½ 0:5 0, setting J = 0, x 1d = sin t, according to equations (8) and (9) to design the control law, setting e = 3, h = 3, m = 3, and n = 3, according to equation (10), the amplitude of input constraints is juj ł 10(3 + 3 + 1) = 70. The simulation results are shown in Figures 1-4.…”

Section: Simulation Analysismentioning

confidence: 99%

“…Even if the system does not diverge, long-term highintensity oscillations would cause structural damage to the robot system, resulting in failure. [6][7][8][9][10][11][12][13] However, the traditional control method does not pay much attention to this aspect. Thus, it is urgently needed to propose an effective control method to deal with this problem.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive compensate control for uncertain robot system with input constraints

Deng

Cheng

2019

Advances in Mechanical Engineering

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In practical robot control systems, the input constraints problem, caused by a limited actuator output amplitude, is due to its own physical characteristics. In traditional control methods, this nonlinear problem is not paid enough attention, especially for robot systems with unknown disturbance. To handle this problem, adaptive compensate control for uncertain robot system with input constraints is proposed. It is combined with adaptive compensate control and hyperbolic tangent function to ensure that the uncertain robot system with input constraints is stable. The simulation results showed that the proposed method can make the uncertain robot system reach a stable state.

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Section: Simulation Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive compensate control for uncertain robot system with input constraints

Deng

Cheng

2019

Advances in Mechanical Engineering

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“…To ensure that the sliding-mode control method could be physically realized, the saturation function is presented to deal with the problem. In the switching process, it is improving the feasibility of physical implementation by avoiding direct derivation; see [34][35][36][37][38][39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Adaptive Compensation Control for Uncertain Building Structural Systems by Sliding‐Mode Technology

et al. 2018

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Earthquake is a kind of natural disaster, which will have a great impact on the building structure. In the vibration control field of building structures, the timeliness of system stability is extremely important. In traditional control methods, the timeliness is not paid enough attention for systems with uncertain seismic waves. For setting this problem, fuzzy adaptive compensation control for uncertain building structural systems by sliding-mode technology is proposed. It is combined with fuzzy adaptive control and sliding-mode control to ensure that the system can be stable with satisfied timeliness. Also, saturation function is used to ensure the feasible physical implementation of the control system. Compared with the traditional LQR (linear quadratic regulator) control, the simulation results showed that the proposed method can make the system reach a stable state with rapid convergence performance and has a feasible physical implementation.

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“…Vibration isolation system is widely used in industrial equipment [1,2], building structure [3,4], and commercial vehicles [5][6][7], to protect the isolating object, such as human and structure, from being damaged by vibration with certain frequency regions. Especially in recent years, with the rapid development of nanoprecision technology, ultraprecision positioning devices, nanolevel measuring instruments, which are extensively used in medical research, biotechnology, semiconductor manufacturing, and space exploring, are demanding an increasingly need for high-performance vibration isolation system [8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Desired Compensation Adaptive Robust Control of an Active Vibration Isolation System

et al. 2018

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Active vibration isolation system (AVIS) has attracted increasing attention of researchers in precision engineering. In this paper, a desired compensation adaptive robust controller (DCARC) is proposed for an AVIS developed in our laboratory. The AVIS composed of one platform and three active isolators is required to achieve high-performance vibration isolation as well as low trajectory tracking error for positioning. The vertical three degrees of freedom (DOFs) and horizontal three DOFs are decoupled by the joint bearing of the isolators. The dynamic model of the system is built and is simplified to three single-input-single-output (SISO) systems. The DCARC control scheme is then proposed, which contains a deterministic robust control (DRC) term and an adaptive control (AC) term. The high performance in vibration isolation and positioning can be subsequently achieved, even the actual load and system stiffness are unknown and there exists direct bounded disturbance on the platform. The AC term is designed to estimate the unknown parameters of the system. The DRC term can improve the robustness of the system, which is used to reject the direct disturbance and the parameter estimation error. Furthermore, the computing time and the influence of the measurement noise can be reduced effectively by reason of desired compensation. The numerical simulation and comparative experiments are carried out under the conditions of using DCARC, DRC, and AC controllers. The experimental results validate that the proposed DCARC control strategy outperforms other control method and possesses both high-performance vibration isolation and low tracking error.

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RBF Nonsmooth Control Method for Vibration of Building Structure with Actuator Failure

Cited by 6 publications

References 19 publications

Adaptive compensate control for uncertain robot system with input constraints

Adaptive compensate control for uncertain robot system with input constraints

Fuzzy Adaptive Compensation Control for Uncertain Building Structural Systems by Sliding‐Mode Technology

Desired Compensation Adaptive Robust Control of an Active Vibration Isolation System

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