Adaptive active control of periodic vibration using maglev actuators

An, Fengyan; Sun, Hongling; Li, Xiaodong

doi:10.1016/j.jsv.2011.12.030

Cited by 19 publications

(8 citation statements)

References 14 publications

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“…The strategy to manage this nonlinear behaviour is using a linearization process that involves a margin of error. In this line, An et al 69 came up with an idea to control nonlinearity without linearization. Using a radial basis function network as a controller, they numerically and experimentally proved that the proposed algorithm could effectively decrease the energy of periodic vibration.…”

Section: Issues Directly Related To Train’s Vibration Controlmentioning

confidence: 99%

A combined review of vibration control strategies for high-speed trains and railway infrastructures: Challenges and solutions

Zhang

Kordestani

Shadabfar

2022

Journal of Low Frequency Noise, Vibration and Active Control

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People use trains as a means of transportation to travel to various nearby and distant destinations, resulting in an increasing amount of time spent inside such vehicles. Consequently, railway transportation sectors are focusing significantly more on enhancing passengers’ demand and level of satisfaction, including but not limited to high-speed travel, safety, and riding comfort. This paper provides a state-of-the-art review of available solutions for reducing undesired vibrations that have a substantial impact on improving the critical velocity limits of trains, maintaining the quality of riding comfort, and resolving safety concerns. In this regard, the solutions proposed for train vibration control are divided into two main categories: direct and indirect solutions. The direct solutions are those methods that are applied directly to trains’ bodies or bogies to attenuate the undesired vibrations, for example, improving the suspension/damper system, implementing active/semi-active control strategies, or applying various carriage optimization design modifications. Indirect solutions, on the other hand, are those that could indirectly affect trains’ vibrations, for example, controlling vibrations in railway bridge structures during train passages. Since the identification of vibration characteristics is assumed to be the first step in choosing proper solutions, particularly for active or semi-active control implementations, this review has examined the literature pertinent to modal identification of trains and railway infrastructures. Additionally, despite the installation of dampers between the bogie and suspension, the train’s equation of motion, and consequently, the vibration control of the bogie, has relied on the sky-hook model for decades. The fundamental problem for systems whose control strategies are based on the sky-hook concept is that the ‘sky’ does not actually exist. A solution to solve the sky-hook logic issue is using tuned rotatory inertia dampers and active rotatory inertia drivers which is addressed in this paper as well. Finally, it is concluded that these three solutions – employing a suspension/damper system in the bogie, an elastic connection for the train’s under-chassis-suspended equipment, and a ballastless railway – can practically mitigate vibration and noise in a train.

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Section: Issues Directly Related To Train’s Vibration Controlmentioning

confidence: 99%

A combined review of vibration control strategies for high-speed trains and railway infrastructures: Challenges and solutions

Zhang

Kordestani

Shadabfar

2022

Journal of Low Frequency Noise, Vibration and Active Control

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“…In order to avoid this situation, the reference inputs are preprocessed to eliminate the signals with larger amplitudes. In many AVC examples [8] , the primary industrial vibrations generated by the rotating machines is periodic and accordingly contain multiple periodic tones at the fundamental frequency and its harmonic frequencies. So, a FIR filter is utilized to estimate the input signals with larger amplitudes and produce predicted values.…”

Section: Impulsive Noisementioning

confidence: 99%

Active vibration control algorithm for impulsive noise

Zhihao

Liang

Wang

et al. 2014

Proceedings of the 33rd Chinese Control Conference

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Impulsive noise is an important challenge for the engineering implementation of active vibration control systems. It can generates larger amplitude outputs of the adaptive filter which are prohibited in practical active vibration control system and destroys the updated stability of the algorithm. An improved filtered-x least mean square algorithm is proposed for impulsive noise in this paper. The proposed algorithm process the reference signal with a new approach which uses a finite impulse response filter. The outputs of the adaptive filter with large amplitudes will be limited through this approach. In order to improve the updated stability, the updating formula of the filter coefficients in the proposed algorithm is derived from a kind of minimization criterion that minimizes the summation of each squared Euclidean norm of difference between the currently updated coefficient vectors and past coefficient vectors. The effectiveness of the improved filter-x least mean square algorithm is proved through simulations comparing with some existing algorithms.

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“…However, successful applications of the technology are still limited to some specific cases, such as headsets, earplugs, and ventilation ducts where the unwanted noise is reduced only at a single spot or within a certain "duct-like space" [4]. With the development in audio and digital signal processing (DSP) equipment [5], and market driving force, active control for noise has been pushed towards a direction where the acoustic field is controlled within an enlarged area such that a real "quiet zone" could be created.…”

Section: Introductionmentioning

confidence: 99%

Some Practical Acoustic Design and Typical Control Strategies for Multichannel Active Noise Control

Chu

Sun

et al. 2022

Applied Sciences

Self Cite

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Active noise control (ANC) systems usually involve a large number of loudspeakers and error microphones in order to achieve noise reduction over an extended region of space. Although fundamentals of ANC theory and principles of ANC methods have been well-established over the past 40 years, applications of this technology are facing new challenges. A larger quiet zone with better noise reduction performance is always desirable in a variety of real-life scenarios. This paper presents several important factors that affect the performance of multichannel ANC systems in some popular applications such as windows with natural ventilation and quiet-zone around heads. The factors affecting acoustic design include the reflection of a baffle plate, arrangement of error sensors in open areas, and so on. In addition, different control strategies are compared and analyzed, including centralized, decentralized, and distributed strategies. All these strategies are discussed from the signal processing side, which should be considered after a proper acoustic design. One of the important aims of this paper is to provide practical guidance for acoustic design and discuss several typical control strategies for multichannel ANC systems.

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Adaptive active control of periodic vibration using maglev actuators

Cited by 19 publications

References 14 publications

A combined review of vibration control strategies for high-speed trains and railway infrastructures: Challenges and solutions

A combined review of vibration control strategies for high-speed trains and railway infrastructures: Challenges and solutions

Active vibration control algorithm for impulsive noise

Some Practical Acoustic Design and Typical Control Strategies for Multichannel Active Noise Control

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