Modeling-free inversion-based iterative feedforward control for piezoelectric actuators

Yu, Shuyou; Li, Jianpu; Lu, Xinghao; Feng, Yangyang; Sun, Xiaodong

doi:10.23919/acc50511.2021.9482744

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Furthermore, it was proved theoretically that MIIFC can achieve precise tracking of reference signal as long as the noise signal ratio is less than 0.5, i.e., the signal-to-noise ratio is more than 3dB. Note that our studies in this paper and [22] show that the MIIFC scheme works for both linear and nonlinear single-input single-output systems. The tracking experiments of different signals were carried out on seat suspension experimental system, which show that the damping force of the MR damper can be effectively tracked with the MIIFC scheme.…”

Section: Discussionmentioning

confidence: 59%

“…In this paper, the modeling-free inversion-based iterative feedforward control (MIIFC) scheme proposed in [20] is successfully used on the damping force tracking control of an MR damper, whose design parameters only depend upon input-output data of the controlled system [22]. By using measured input-output data to update the inverse model at each iteration, the MIIFC scheme improves the quality of the inverse model accordingly.…”

Section: Introductionmentioning

confidence: 99%

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Modeling free Inversion based Iterative Feedforward Control of Magnetorheological Dampers

Yu,

Sun,

et al. 2024

Preprint

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In this paper, a damping force tracking control strategy of magnetorheological dampers with nonlinear and hysteresis characteristics is proposed, in which a modeling-free inversion-based iterative feedforward control (MIIFC) scheme is designed. The adopted MIIFC scheme utilizes only online input-output data of the controlled system, and achieves the desired performance by iterations. The property of disturbances or noises attenuation, i.e., convergence analysis is explicitly addressed accordingly. The validity of the adopted MIIFC scheme was verified by simulation experiments and hardware-in-the-loop tests on a seat suspension test rig installed with the magneto-rheological damper. The experimental results show that the desired damping force can be effectively tracked with the MIIFC scheme.

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Section: Discussionmentioning

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Modeling free Inversion based Iterative Feedforward Control of Magnetorheological Dampers

Yu,

Sun,

et al. 2024

Preprint

Self Cite

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Data-driven fractional order feedback and model-less feedforward control of a XY reluctance-actuated micropositioning stage

Zhang

Lai

et al. 2022

Review of Scientific Instruments

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This paper proposes a compound data-driven control method to solve the problems of low damping resonance, different dynamic properties, and hysteresis in the large-range compliant micropositioning stage driven by a Maxwell reluctance actuator. First, in order to verify the proposed control algorithm, a reluctance-actuated, XY compliant micropositioning stage is constructed according to the principle of operation of a reluctance actuator. Second, in order to eliminate the influence of complex dynamics on the controller design, a fractional order proportional-integral feedback controller is designed using a data iterative feedback turning algorithm. Third, the finite impulse response feedforward filter is optimized using experimental data, and the on-line inverse estimation of the system frequency response function and its iterative feedforward compensation are carried out to further eliminate the influence of light damping resonance. Finally, the proposed control method is used for tracking the experiment and compared with other methods. The experimental results show that the proposed control method can better meet the requirements of high precision, fast speed, and strong anti-interference ability for large stroke micro/nanopositioning and tracking.

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Modeling-free inversion-based iterative feedforward control for piezoelectric actuators

Cited by 2 publications

References 10 publications

Modeling free Inversion based Iterative Feedforward Control of Magnetorheological Dampers

Modeling free Inversion based Iterative Feedforward Control of Magnetorheological Dampers

Data-driven fractional order feedback and model-less feedforward control of a XY reluctance-actuated micropositioning stage

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