Adaptive feed-forward compensation for hybrid control with acceleration time waveform replication on electro-hydraulic shaking table

Shen, Gang; Zhu, Zhencai; Yu, Tang; Yang, Chifu; Zhao, Jun; Liu, Guangda; Han, Junwei

doi:10.1016/j.conengprac.2013.03.007

Cited by 63 publications

(28 citation statements)

References 46 publications

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“…The main hydraulic circle is a classic modelling process which is stated in an army of papers by using the flow continuity equation and Newton laws [1,2,9]. Hence, the detailed process is omitted here and the ultima equation and parameters are listed in (5) and Table III.…”

Section: Modeling Process Of the Main Hydraulic Circlementioning

confidence: 99%

“…In recent years, severe energy shortage and environmental pollution has prompted researchers to focus on how to improve the efficiency of construction machinery and exhaust emissions . Especially, with the rapid development of the whole electric car, if construction machinery can use the similar structure, the efficiency of construction machinery can be improved greatly and the emission of conventional internal combustion engine may disappear completely.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A New Electric Hydraulic Actuator Adopted the Variable Displacement Pump

Shen

Yunfei

et al. 2015

Asian Journal of Control

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In this paper, a new type Electric Hydraulic Actuator(New EHA) adopted variable displacement pump is presented to enhance the dynamic response of EHA. This system combines the advantages of electric with hydraulic systems and it is easy to be integrated with the whole electric system, which is a promising tendency to save energy and enhance control performance. Firstly, the basic principle and the difference with the traditional EHA are introduced. Moreover, the mathematical model is constructed. Then, the controller by using the fuzzy algorithm is designed. Finally, the simulation and experiment for the New EHA are investigated, both of the results show the effectiveness of the New EHA.

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Section: Modeling Process Of the Main Hydraulic Circlementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Electric Hydraulic Actuator Adopted the Variable Displacement Pump

Shen

Yunfei

et al. 2015

Asian Journal of Control

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show abstract

“…Assumed that the reference signal is r(t), the frequency spectrum of the r(t) is obtained using the fast Fourier transform algorithm (10) Now, driving the corrected time drive signal d(t) to the MAEHST, the system response signal will have better precision and smaller coupling motion, even to zeros.…”

Section: Vibration Decoupling Control Algorithmmentioning

confidence: 99%

“…Yu haoyang [9] proposed the EV system identification control strategy to implement the acceleration power spectrum replication. Shen gang [10] put forward a method based on adaptive inverse control and an offline feed-forward compensator to obtain better replication accuracy. However, the algorithm ignores the coupling factor which will result in the poor control precision and coupling motion of unexpected DOFs.…”

Section: Introductionmentioning

confidence: 99%

Modeling and vibration decoupling control of multi-axial shaking table

Zhang¹,

Yang²,

Qu³

et al. 2015

Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

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Traditional control strategy study of the multi-axial electro-hydraulic shaking table(MAEHST) is based on linear model, ignoring the coupling and nonlinearity factors, which results in the waveform distortion and the control precision. To overcome these limitations, a model considering the hydraulic system nonlinearity and mechanical coupling using the software Simulink/SimMechanics is built. A vibration decoupling control strategy based on multiple input multiple output (MIMO) system identification is proposed to improve the waveform replication precision. The proposed control method applies the MIMO H 1 estimator to identify frequency response function matrix (FRFM) of the system, not only considering the diagonal element, but the off-diagonal element to acquire the coupling characteristics of six degrees of freedom (DOFs) of MAEHST. And then the inverse frequency response function matrix (IFRFM) is calculated using the singular value decomposition technique to obtain the drive signal combined with the reference signal. Simulation experiments are carried out, and the results indicate that the MIMO vibration decoupling control strategy successfully minimizes the coupling and improve the waveform replication precision of the shaking table.

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“…However, due to the complexity of the problem the need for more sophisticated control systems become necessary. With advances in computing technologies, followed by the breakthrough development of the digital signal processing and realtime operations, methods based on hybrid control strategies [8,9,10] and adaptive control techniques [11,12,13,14,15] The objective of the present paper concerns the investigation of the capabilities of two of these adaptive control techniques, namely Amplitude Phase Control (APC) and Adaptive Harmonic Cancellation (AHC), on the harmonic signal reproduction. It should be noted that most of the qualification testing, where high-quality of signal tracking is required, use harmonic signal excitations.…”

Section: Introductionmentioning

confidence: 99%

Performance of the CGS six DOF Shaking Table on the Harmonic Signal Reproduction

Halim

Airouche

Hassan

et al. 2017

Period. Polytech. Civil Eng.

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IntroductionShaking tables are being increasingly used in earthquake engineering research field and remain one of the preferred tools for seismic testing [1]. Their main objective is to replicate a wide range of a desired motion with a high degree of accuracy, in order to generate meaningful and reliable results. However, despite the significant progress achieved in shake table design and control technology during the last decades, number of challenges still exist [2]. These challenges fall into two categories: (i) economical and practical challenges and (ii) technical challenges. In the first category we can cite the problem of the full-scale realistic tests of large structural systems which are constrained by the limited financial resources and capacities of the existing laboratories. The second category includes control issues, consideration of different loading conditions other than dynamic base motion and soil-structure interaction effects in shaking-table testing.Undoubtedly, the control of shaking table is the key element of the whole system and one of the most difficult technical challenges. In fact, the modern multiple degree-of-freedom shaking table with a resonating and eccentric specimen has the characteristics of a strongly coupled multiple input, multiple output dynamic system [3]. In such a system, servovalves characteristics, oil column resonance, frictions in the system, cross coupling between degrees of freedom, specimen compliance and noise in feedback transducers, are some of the predominant sources of nonlinearities that can adversely affect the accurate control, stability and high fidelity signal reproduction, of the shaking table.Various control techniques have been developed in order to provide a shaking table with optimum performance and high level of motion control. The earliest methods use conventional linear controller, such as closed-loop PID, deltaP and feed-forward control algorithm [4,5], and three variable control (TVC) [6,7]. However, due to the complexity of the problem the need for more sophisticated control systems become necessary. With advances in computing technologies, followed by the breakthrough development of the digital signal processing and realtime operations, methods based on hybrid control strategies

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Adaptive feed-forward compensation for hybrid control with acceleration time waveform replication on electro-hydraulic shaking table

Cited by 63 publications

References 46 publications

A New Electric Hydraulic Actuator Adopted the Variable Displacement Pump

A New Electric Hydraulic Actuator Adopted the Variable Displacement Pump

Modeling and vibration decoupling control of multi-axial shaking table

Performance of the CGS six DOF Shaking Table on the Harmonic Signal Reproduction

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