Wind-Tunnel Evaluation for an Active Sting Damper Using Multimodal Neural Networks

Dai, Yuke; Zhang, Lei; Zhao, Zhenping; Shen, Xing

doi:10.2514/1.j058989

Cited by 12 publications

(6 citation statements)

References 18 publications

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“…To reduce the aerodynamic interference from supporting system, a tail supporting system, which consists of a test model, a balance functioning as aerodynamic sensors and a long cantilever sting, is widely used in transonic wind tunnels (Ocokoljić et al, 2017). Due to its low structural damping, however, undesirable vibration often occurs under aerodynamic loads, especially in the pitch direction, leading to poor data quality and even structure fatigue failure (Balakrishna et al, 2007; Dai et al, 2020; Post and Corke, 2004). Moreover, the test envelope will be constrained if no vibration suppression is performed.…”

Section: Introductionmentioning

confidence: 99%

An active piezoelectric damping vibration control system for the sting used in wind tunnel

Huang,

Shen,

Wang

et al. 2023

Journal of Intelligent Material Systems and Structures

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In wind tunnel tests, the cantilever sting supporting system often suffers from low-frequency and large-amplitude resonance due to its inherent low structural damping characteristic, resulting in the degradation of data quality and structural safety. To improve wind tunnel testing safety and data accuracy, this paper is dedicated to establish an active vibration control system using piezoelectric stack actuators. A novel methodology of vibration monitoring based on modal transformation, which uses measured strain and a Strain-to-Displacement Transformation (SDT) matrix to reconstruct dynamic displacement field, is proposed herein. Meanwhile, strain sensor positions are optimized by an improved Particle Swarm Optimization (PSO) algorithm to reduce systematic estimation errors of this method. Furthermore, a Back-Propagated Neutral Network (BPNN) is established to implement a self-adaptive control strategy. A series of verification tests are performed to demonstrate the validity of the proposed system. Experimental results indicate that the relative Root Mean Square Error (RMSE) between estimated vibration displacement and measured vibration displacement is less than 3%, and a vibration attenuation of over 14 dB/Hz is achieved in ground tests, proving the superiority of this intelligent active vibration suppression system.

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Section: Introductionmentioning

confidence: 99%

An active piezoelectric damping vibration control system for the sting used in wind tunnel

Huang,

Shen,

Wang

et al. 2023

Journal of Intelligent Material Systems and Structures

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the early 20th century, researchers recognized the potential of kernel methods in extending linear algorithms to the nonlinear field, which led to increased focus on their application in the field of nonlinear adaptive filtering. For example, Principe J C et al [13] combined the LMS algorithm with kernel knowledge to propose the Kernel Least Mean Square (KLMS) algorithm. In the complex domain, Widrow B et al [7] introduced the Complex Least Mean Square (CLMS) algorithm in 1975.…”

Section: Introductionmentioning

confidence: 99%

Research on Variable-Step-Size Adaptive Filter Algorithm with a Momentum Term

Li,

Lu,

Kou

et al. 2023

Applied Sciences

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To address the contradiction between the convergence error and convergence rate in the LMS algorithm, this study proposes a variable-step-size adaptive filter algorithm with a momentum term based on the logistic function. First, the normalization LMS algorithm is obtained by seeking the extremum under the Lagrange function constraint. Second, to reduce the convergence error of the algorithm, the logistic model is used as a function model of step size variation with error, resulting in a variable-step normalization LMS algorithm. Our experimental results demonstrate that this algorithm achieves smaller convergence errors compared to those of the traditional LMS algorithm. Finally, to further improve the convergence rate of the algorithm, a momentum term is introduced into the weight coefficient update process of the LMS algorithm. This leads to the development of a variable-step adaptive filter algorithm with a momentum term based on the logistic function. The impact of different parameters on the algorithm performance is also investigated. In order to verify the rationality of the proposed algorithm, a dynamic system mathematical model was identified using the proposed algorithm. The results showed that the proposed algorithm had an identification accuracy of over 97% for the mathematical model parameters and a suppression of over 99% for noise. In order to verify the engineering application value of the proposed algorithm, real-time vibration data fitting experiments were conducted in the Aeroelasticity Laboratory of the China Aerodynamics Research and Development Center, and their results were compared with three algorithms: ARMAX, N4SID, and LMS. The results showed that the proposed algorithm had a higher fitting accuracy than the three others. Through simulations and experiments, it is demonstrated that this study has value both theoretically and in engineering applications, promoting engineering applications of adaptive filtering algorithms and providing strong support for the research of adaptive control.

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“…Among them, piezoelectric stack actuators made of piezoelectric ceramic materials have received a lot of attention in the application of active vibration control (AVC) in structure engineering, especially for the requirements of aerospace structures, which have strict constraints on the weight, installation space, and actuation capacity of actuators [9]. As a result, high voltage piezoelectric stack actuators (HVPSA) with a higher nominal output force and load capacity have a high potential for application [10][11][12][13][14][15]. For example, Liu et al used HVPSA to create a sting-root embedded active damping device in the wind tunnel model support system to suppress the destructive low-frequency and large-amplitude resonance caused by flow separation and turbulence [9,10].…”

Section: Introductionmentioning

confidence: 99%

Dynamic modeling and disturbance rejection compensation for hysteresis nonlinearity of high voltage piezoelectric stack actuators

Li¹,

Liu²,

Yang³

et al. 2022

Smart Mater. Struct.

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High voltage piezoelectric stack actuators (HVPSA) are widely used in the field of active vibration control (AVC) of engineering structures due to their strong load capacity, fast response rate, and high mechanical output efficiency. However, their inherent hysteresis will have a direct impact on the stability and control efficiency of the piezoelectric active control system. To compensate the hysteresis nonlinearity of HVPSA, a high-precision dynamic hybrid method based on linear active disturbance rejection control (LADRC) is proposed. Starting from the hysteresis analysis of piezoelectric actuators, an exponential function butterfly-shape hysteresis operator is constructed and combined with the asymmetric Bouc-Wen model to present a novel hybrid static hysteresis model. In order to implement rate-dependent hysteresis modeling, the Hammerstein rate-dependent hysteresis model of HVPSA is further established, and its inverse model is built for feedforward compensation. Subsequently, the LADRC is used to adjust the driving voltage in real time to form the hysteresis closed-loop compensator of HVPSA. The experimental results show that the Hammerstein rate-dependent hysteresis model established has satisfactory modeling accuracy in the working voltage range and frequency band under consideration. Furthermore, compared with the traditional inverse model feedforward compensation strategy, the proposed hybrid compensation method based on LADRC improves the compensation efficiency by more than 11% and reduces the hysteresis nonlinearity of HVPSA to less than 3%, with strong anti-disturbance ability.

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Wind-Tunnel Evaluation for an Active Sting Damper Using Multimodal Neural Networks

Cited by 12 publications

References 18 publications

An active piezoelectric damping vibration control system for the sting used in wind tunnel

An active piezoelectric damping vibration control system for the sting used in wind tunnel

Research on Variable-Step-Size Adaptive Filter Algorithm with a Momentum Term

Dynamic modeling and disturbance rejection compensation for hysteresis nonlinearity of high voltage piezoelectric stack actuators

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