Youla parameterized adaptive vibration control against deterministic and band-limited random signals

Qian, Fanfan; Wu, Zhizheng; Zhang, Maotong; Wang, Tao; Wang, Yuanyuan; Yue, Tengfei

doi:10.1016/j.ymssp.2019.106359

Cited by 11 publications

(2 citation statements)

References 19 publications

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“…Reference [14] presented an investigation on the performance of active vibration control of the rib-stiffened plate by using only residual velocity feedback signal. An adaptive feedback control system is designed for the unknown vibration disturbance suppression of a lathe system in Reference [15], in which an adaptive algorithm is introduced to adjust the feedback controller in real time according to the unknown residual acceleration feedback signal. Besides, compared with feedback control, feedforward control will use more sensors that will not be conducive to the light weight and reliability of the vibration isolation system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Deterministic Vibration Control of a Piezo-Actuated Active–Passive Isolation Structure

Li¹,

Yuan²,

Qian³

et al. 2021

Applied Sciences

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With the improvement of the performance of optical equipment carried by on-orbit spacecraft, the requirements of vibration isolation are increasing. Passive isolation platforms are widely used, but the ability to suppress the low-frequency deterministic vibration disturbance is limited, especially near the system’s natural frequency. Therefore, an active vibration control strategy is proposed to improve passive isolation performance. In this paper, a Youla parameterized adaptive active vibration control system is introduced to improve the isolation performance of a piezo-actuated active–passive isolation structure. A linear quadratic Gaussian (LQG) central controller is first designed to shape the band-limited local loop of the closed-loop system. Then, the central controller is augmented into a Youla parameterized adaptive regulator with the recursive least square adaptive algorithm, and the Youla parameters (Q parameters) can be adjusted online to the desired value to suppress the unknown and time-varying multifrequency deterministic vibration disturbance. In the experiment, the residual vibration with respect to the combination of multiple frequencies is effectively suppressed by more than 20 dB on average, and a quick response time of less than 0.3 s is achieved when the deterministic residual vibration changes suddenly over time. The experimental results illustrate that the proposed adaptive active vibration control system can effectively suppress the low-frequency deterministic residual vibration.

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Section: Introductionmentioning

confidence: 99%

Adaptive Deterministic Vibration Control of a Piezo-Actuated Active–Passive Isolation Structure

Li¹,

Yuan²,

Qian³

et al. 2021

Applied Sciences

Self Cite

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show abstract

“…The controller designed by Youla parameterization can improve the system's robust stability and reject the adverse effects caused by existing disturbances. In [24], a Youla parameterized adaptive controller was proposed for the mechanical systems to deal with the unknown vibration caused both by the deterministic disturbance and the random disturbance. Bianchi et al [25] proposed a switching LPV controller design method based on the idea of Youla parameterization.…”

Section: Introductionmentioning

confidence: 99%

Design of Smooth Switching LPV Controller Based on Coprime Factorization and H∞ Performance Realization

et al. 2021

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This paper discusses the problem of designing smooth switching control based on the coprime factorization method. Aiming at the instantaneous chattering phenomenon generated by the linear parameter varying (LPV) controller during the switching moment, the moving region of the gain-scheduling variables is divided into a specified number of local subregions with overlapped region. Riccati inequality is used to solve the central controller for H ∞ performance. The Youla free parameters are designed using the coprime factorization for each parameter sub-region by considering the system's global and local performance requirements. Youla free parameter switching is used to improve the smoothness of switching and suppress transient response disturbance. Finally, the effectiveness of the method is verified by a simulation example.

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Comparison of Discrete Autocorrelation Functions with Regards to Statistical Significance

Barot

Burgsteiner

Kolleritsch

2020

Advances in Intelligent Systems and Computing

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Youla parameterized adaptive vibration control against deterministic and band-limited random signals

Cited by 11 publications

References 19 publications

Adaptive Deterministic Vibration Control of a Piezo-Actuated Active–Passive Isolation Structure

Adaptive Deterministic Vibration Control of a Piezo-Actuated Active–Passive Isolation Structure

Design of Smooth Switching LPV Controller Based on Coprime Factorization and H∞ Performance Realization

Comparison of Discrete Autocorrelation Functions with Regards to Statistical Significance

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