An optimized active disturbance rejection approach to fan control in server

This work studies a novel sampled-data adaptive extended state observer (ESO) based composite control approach for the digital nano-positioning systems with sampling restrictions. In the proposed control architecture, a sampled-data ESO with an output predictor is designed to estimate states and disturbances within a continuous period of time, where the observer gains are adaptively updated. To deal with the inter-sample disturbances, a multirate disturbance compensator is then worked out by upsampling, with which a discrete composite feedback controller with linear and nonlinear parts is employed aiming at improving the transient performance of positioning. Moreover, the estimation convergence and the stability are analyzed by means of Lyapunov methods. The proposed control method is then applied to the simulations and experiments in a piezoelectric nano-positioning system so as to validate its effectiveness.

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“…Using (13) and 14, the following differential equality can be obtained for t ∈ [kT y , (k + 1)T y ) as:…”

Section: Sampled-data Adaptive Eso Based Control a Inter-samplementioning

confidence: 99%

“…information [13], [14], has gradually become a new tendency in high precision control design [15], [16]. Nevertheless, the estimation and anti-disturbance capabilities of the ESOs with fixed observer gains are degraded by rate/amplitude dependent uncertainties, such as hysteresis and creep [17].…”

Section: Introductionmentioning

confidence: 99%

Sampled-Data Adaptive ESO Based Composite Control for Nano-Positioning Systems

Tian

Yan

2020

IEEE Access

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“…In 2003, Professor Gao in Cleveland State University proposed linear-active-disturbance-rejection-control (LADRC) [13], the research has attempted to simplify the controller structure and the tuning parameters of the ADRC, promote the technology rapidly development in its applications and theory. The algorithm was applied in thermal power generation [14] [15] [16] [17], air-condition system [18], aerospace [19], magnetic suspension [20], heat emission [21] etc. ; The technology is also applied in producing the Parker Parflex hose extrusion facility [22] and controller chips in Texas Instruments that run LineStream's SpinTAC software [23] [24].…”

Section: Introductionmentioning

confidence: 99%

Pressure Gradient Control Strategies Based on Disturbance Rejection for Typical Pharmaceutical Cleanrooms

Chunwang¹,

Ma²,

Huang³

2021

WJET

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Keeping pressure gradient is an excellent approach to prevent the reveal of airflow direction and cross infection in manufacturing circumstances of pharmaceutical cleanrooms, thus how to keep cleanroom's pressure is critical. In the paper, we study a positive pressure pharmaceutical cleanroom system which is composed by a cleanroom and an airlock. We divide the system's disturbances into step disturbance, ramp disturbance and sine wave disturbance. We design its pressure gradient control strategies, including CAV control, PID control and active-disturbance-rejection-control. We build the system's model and make simulations based on Matlab/Simulink software platform. Results show that active-disturbance-rejection-control algorithm has good capabilities for shorter responding time and lower overshot of the pressure gradient. The results reveal that active-disturbance-rejection-control method has good control performances in responding time, accuracy and disturbance rejection.

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“…For its ability in dealing with a vast range of uncertainties, simplicity in engineering implementation, and superior performance in practice, ADRC is becoming an emerging technology in control engineering [2]. The last two decades have witnessed ADRC's success in many industrial applications, including speed control of induction motor [3] and permanent magnet synchronous motor [4], fan control in server [5], air-fuel ratio control in gasoline engines [6], hydraulic servo systems [7]. In recent years, the theoretical research has been gradually developed.…”

Section: Introductionmentioning

confidence: 99%

Linear Active Disturbance Rejection Control for Nonaffine Strict-Feedback Nonlinear Systems

et al. 2019

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This paper presents a linear active disturbance rejection controller (LADRC) for nonaffine nonlinear systems with strict-feedback form. The proposed LADRC results in a closed-loop system with a three-time-scale structure, in which a reduced-order linear extended state observer estimates unmeasured states and total disturbance in the fastest time scale and dynamic inversion based on sector conditions is used to deal with nonaffine inputs in the intermediate time scale while the system dynamics evolves in the slowest time scale. The singular perturbation method is used to analyze the stability and performance of the system. The effectiveness of the proposed LADRC is demonstrated through simulation studies and experimental validation on a linear motor servo system with nonaffine uncertainties.INDEX TERMS Active disturbance rejection control, dynamic inversion, reduced-order extended state observer, uncertain nonlinear system.

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An optimized active disturbance rejection approach to fan control in server

Cited by 35 publications

References 22 publications

Sampled-Data Adaptive ESO Based Composite Control for Nano-Positioning Systems

Sampled-Data Adaptive ESO Based Composite Control for Nano-Positioning Systems

Pressure Gradient Control Strategies Based on Disturbance Rejection for Typical Pharmaceutical Cleanrooms

Linear Active Disturbance Rejection Control for Nonaffine Strict-Feedback Nonlinear Systems

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