An Inversion-Based Model Predictive Control With an Integral-of-Error State Variable for Piezoelectric Actuators

Cao, Yu; Cheng, Long; Chen, X. B.; Peng, Jingfu

doi:10.1109/tmech.2012.2194792

Cited by 94 publications

(34 citation statements)

References 23 publications

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“…Similar to the control scheme in [40], extensive works have then been developed by combining different hysteresis models for feedforward compensators (detailed in Section IV-A2) and different control strategies (detailed in Section IV-B) for feedback loops [18], [49], [53], [109], [119], [192]- [194]. It is pointed out that, in this control scheme, the hysteresis is generally approximately compensated and a feedback controller is designed to reduce residual error due to inaccurate hysteresis model inversion and the system uncertainties.…”

Section: Feedforward-feedback Controlmentioning

confidence: 99%

Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey

Zhu

et al. 2016

IEEE Trans. Automat. Sci. Eng.

504

216

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Piezo-actuated stages have become more and more promising in nanopositioning applications due to the excellent advantages of the fast response time, large mechanical force, and extremely fine resolution. Modeling and control are critical to achieve objectives for high-precision motion. However, piezo-actuated stages themselves suffer from the inherent drawbacks produced by the inherent creep and hysteresis nonlinearities and vibration caused by the lightly damped resonant dynamics, which make modeling and control of such systems challenging. To address these challenges, various techniques have been reported in the literature. This paper surveys and discusses the progresses of different modeling and control approaches for piezo-actuated nanopositioning stages and highlights new opportunities for the extended studies.Note to Practitioners-Piezo-actuated nanopositioning stages featuring fast response, large force, and fine resolution appear poised to play an increasingly important role in fields requiring micro/nano positioning. Such stages, however, exhibit complex piezoelectric behavior, which is often neglected, including: frequency response, nonlinear electric field dependence, creep, aging, and thermal behavior. The presence of such a behavior observed in the stages poses challenges in realizing precise micro/nanopositioning performance. This paper presents an overview of the piezo-actuated nanopositioning stages emphasizing the key role of modeling and control techniques, where high accuracy is important.

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Section: Feedforward-feedback Controlmentioning

confidence: 99%

Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey

Zhu

et al. 2016

IEEE Trans. Automat. Sci. Eng.

504

216

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“…Recently, smart materials as piezoelectric [5], magnetostrictive [6], and electroactive ionic polymers [7]- [9] have been applied to linear actuators. Today, a new step in designing linear actuators is happening.…”

Section: Introductionmentioning

confidence: 99%

On Using Meissner Effect to Conceive a New Linear Electromagnetic Launcher by Zero-Field-Cooling YBCO Bulk Superconductors

Branco

Almeida

Dente

2014

IEEE Trans. Ind. Electron.

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A new YBCO superconducting linear propulsion system that uses the Meissner effect for thrust is proposed. A YBCO bulk is used in the vehicle, which is excited synchronous with a magnetic field traveling wave. The propulsion system's model is developed using a magnetic circuit method and the Maxwell stress tensor analysis. The vehicle acceleration and thrust force characteristics previewed from that model are verified and analyzed by practical measurements and a set of essays using the prototype built in our laboratory. Major errors came for thermally activated flux creep and current conduction in the YBCO during its passage through the excitation system. The total magnetic field at the superconductor's surface decreases, reducing thrust force. Despite these secondary effects, achieved results show the potential of this new approach for future electric propulsion systems.

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“…In Ref. [83], the inverse of the dis crete differential hysteresis was obtained and applied in the control of PEA.…”

Section: 43mentioning

confidence: 99%

A Survey of Modeling and Control Issues for Piezo-electric Actuators

Cao

Chen

2014

Journal of Dynamic Systems, Measurement, and Control

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Piezo-electric actuators (PEAs) have been widely used in nanopo sitioning applications due to their high stiffness, fast responses, and large actuating forces. However, the existence o f nonlinear ities such as hysteresis can greatly deteriorate their performance and, as such, modeling and control o f PEAs fo r improved per formance has drawn considerable attention in the literature. This paper presents a brief survey o f recent achievements in modeling and control o f PEAs as well as the relevant issues that remain to be resolved. Specifically, various methods fo r modeling hysteresis, creep, and vibration dynamics in PEAs are examined, followed by a discussion o f the issues leading to modeling errors. Recently reported PEA control schemes are surveyed along with their advantages and disadvantages. The challenges associated with control problems are also discussed.

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An Inversion-Based Model Predictive Control With an Integral-of-Error State Variable for Piezoelectric Actuators

Cited by 94 publications

References 23 publications

Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey

Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey

On Using Meissner Effect to Conceive a New Linear Electromagnetic Launcher by Zero-Field-Cooling YBCO Bulk Superconductors

A Survey of Modeling and Control Issues for Piezo-electric Actuators

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